#  @nvidiadeveloper NVIDIA Developer NVIDIA has been releasing various tools and platforms to support AI development, including the NVIDIA NIM for deploying generative AI, NVIDIA Nemo Agent for creating AI agents, and DGX Cloud for AI computing. The company has also been highlighting its Jetson series, including the AGX Orin and Nano developer kits, for building AI-powered robots and devices. Additionally, NVIDIA has been showcasing its advancements in areas like humanoid robotics, quantum computing, and accelerated data science. ### Engagements: [------] [#](/creator/youtube::UCBHcMCGaiJhv-ESTcWGJPcw/interactions)  - [--] Week [-------] +3.90% - [--] Month [---------] +12% - [--] Months [---------] -17% - [--] Year [----------] +27% ### Mentions: [--] [#](/creator/youtube::UCBHcMCGaiJhv-ESTcWGJPcw/posts_active)  - [--] Week [--] -2.90% - [--] Month [---] -9.20% - [--] Months [---] +21% - [--] Year [---] +235% ### Followers: [-------] [#](/creator/youtube::UCBHcMCGaiJhv-ESTcWGJPcw/followers)  - [--] Week [-------] +0.50% - [--] Month [-------] +1.50% - [--] Months [-------] +11% - [--] Year [-------] +26% ### CreatorRank: [-------] [#](/creator/youtube::UCBHcMCGaiJhv-ESTcWGJPcw/influencer_rank)  ### Social Influence **Social category influence** [stocks](/list/stocks) 100% [technology brands](/list/technology-brands) 100% [events](/list/events) 1.71% [finance](/list/finance) 1.71% [travel destinations](/list/travel-destinations) 1.14% [gaming](/list/gaming) 0.57% [social networks](/list/social-networks) 0.57% [nfts](/list/nfts) 0.57% [countries](/list/countries) 0.57% **Social topic influence** [ai](/topic/ai) 48%, [$nvda](/topic/$nvda) #259, [how to](/topic/how-to) 16%, [dgx](/topic/dgx) #5, [build](/topic/build) 9.71%, [nvda](/topic/nvda) #955, [gpu](/topic/gpu) #151, [inference](/topic/inference) #191, [llm](/topic/llm) #550, [agentic](/topic/agentic) 5.14% **Top accounts mentioned or mentioned by** [@kevinstratvert](/creator/undefined) [@esimstudios](/creator/undefined) [@nvidiacom](/creator/undefined) [@nvidiageforce](/creator/undefined) [@engineerprompt](/creator/undefined) [@kennygunderman](/creator/undefined) [@technology_now](/creator/undefined) [@cyberstars](/creator/undefined) **Top assets mentioned** [NVIDIA Corp. (NVDA)](/topic/$nvda) [Alphabet Inc Class A (GOOGL)](/topic/$googl) [Microsoft Corp. (MSFT)](/topic/microsoft) [FilesCoins Power Cu (FILECOIN)](/topic/files) ### Top Social Posts Top posts by engagements in the last [--] hours "The Breakthrough Moment for Physical AI Powered by NVIDIA Cosmos Learn how to get more out of NVIDIA Cosmos with tips straight from the authors behind our Cosmos Cookbook recipes. Watch the livestream 👉 https://www.addevent.com/calendar/ss55fmjpm04t Explore the Cosmos Cookbook 👉 https://nvda.ws/4k7EmaN Register for the hackathon 👉 https://nvda.ws/4qP4sly #NVIDIACosmos #WorldFoundationModels #CosmosCookbook #PhysicalAI" [YouTube Link](https://youtube.com/watch?v=EKE8c6RhwQo) 2026-02-09T19:01Z 201K followers, [----] engagements "Accelerating Applications with Parallel Algorithms CUDA C++ Class Part [--] Welcome to NVIDIAs Modern CUDA C++ Programming Class. You will learn how to program on the GPU using NVIDIAs latest programming tools. This series is for C++ developers who want to use the GPU effectivelywhether youre new to CUDA and want the fastest path from hello world to real acceleration or youre an experienced CUDA programmer ready to modernize your code with the latest best practices. If you already know C++ and want to write clean efficient idiomatic GPU code this course is for you. This video is part of a" [YouTube Link](https://youtube.com/watch?v=Sdjn9FOkhnA) 2025-11-06T22:08Z 201K followers, 34.1K engagements "Performance Analysis with NVIDIA Nsight Systems Timeline CUDA Developer Tools In this episode of the CUDA Developer Tools tutorial series Eyal Soha senior software engineer at NVIDIA introduces code performance analysis using the Timeline View in NVIDIA Nsight Systems. Basic knowledge of C++ CUDA programming is recommended. Highlights include: Explore the Nsight Systems timeline a powerful tool for analyzing GPU performance. Learn how the Timeline View helps you understand code processes and uncover optimization opportunities. Get an overview of the timeline interface and how to navigate the" [YouTube Link](https://youtube.com/watch?v=TGChXcFm-Yo) 2023-10-27T16:00Z 201K followers, 16.9K engagements "CUDA 13.0New Features and Beyond NVIDIA GTC D.C. The NVIDIA CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through CUDA's libraries compilers runtimes and languagewhich means CUDA is growing as fast as its ecosystem is evolving. At this engineering-focused talk by CUDA's technical product lead you'll learn what's new and what's coming next for both CUDA and GPU computing as a whole. Speakers: Rob Armstrong CUDA Technical Product Management Lead NVIDIA Watch more: https://www.nvidia.com/en-us/on-demand/" [YouTube Link](https://youtube.com/watch?v=_vL8uz7kf0M) 2025-12-02T19:00Z 201K followers, [----] engagements "Intro to NVIDIA Nsight Systems CUDA Developer Tools Join NVIDIAs Sven Middelberg for an introduction to NVIDIA Nsight Systems a tool for performance tuning NVIDIA GPU-accelerated applications. Nsight Systems provides a timeline view of your system's performance helping you identify bottlenecks and optimization opportunities. 00:00 - Introduction 2:14 - How to Trace an Application 6:34 - Using the Timeline View 8:36 - Analysis Summary Tab 8:50 - Diagnostics Summary Tab 9:07 - Conclusion Highlights include: Tracing with Nsight Systems: Walk through the tracing process including project setup" [YouTube Link](https://youtube.com/watch?v=dUDGO66IadU) 2023-09-22T15:47Z 201K followers, 22.1K engagements "Build a Simple AI Agent with OpenAIs gpt-oss-20b Learn how to build a simple AI agent with OpenAI's new gpt-oss models (20b and 120b) with NVIDIA NIM. In this video we demonstrate how to access NVIDIA NIM for OpenAIs gpt-oss reasoning models through build.nvidia.com and start building immediately. Discover how to use the OpenAI Responses API set reasoning efforts for different query complexities and create a web search agent. Whether you want to use NVIDIA-hosted NIM endpoints or privately deploy and scale gpt-OSS NIM microservices on your infrastructure this tutorial is great for you Get" [YouTube Link](https://youtube.com/watch?v=e2sgwsC92Bc) 2025-08-07T21:55Z 201K followers, 21.9K engagements "Frontiers of AI and Computing: A Conversation With Yann LeCun and Bill Dally NVIDIA GTC [----] As artificial intelligence continues to reshape the world the intersection of deep learning and high performance computing becomes increasingly crucial. This talk brings together Yann LeCun a pioneer in deep learning and the chief AI scientist at Meta and Bill Dally a leading computer architect and chief scientist at NVIDIA to explore the future of AI models hardware accelerators and the evolving computational landscape. The discussion covers: The next breakthroughs in deep learning and AI" [YouTube Link](https://youtube.com/watch?v=eyrDM3A_YFc) 2025-04-10T16:00Z 201K followers, 101.2K engagements "Step-by-Step Installation of NVIDIA Virtual GPU Software on VMware vSphere Learn the entire process for getting NVIDIA Virtual GPU software running on VMware vSphere--whether youre using vSphere for Graphics/VDI workloads or AI workloads with NVIDIA AI Enterprise. NVIDIA Senior Solutions Architect Lee Bushen walks you through the following steps: - Downloading the vGPU or NVIDIA AI Enterprise software components - Server preparation for vGPU - Installing the GPU Manager on the ESXi host - Removing the GPU Manager for an vGPU software upgrade - Configuring vCenter for vGPU profiles -" [YouTube Link](https://youtube.com/watch?v=gJy2dS20so8) 2024-10-11T18:21Z 201K followers, 34.5K engagements "#NVIDIA DGX Spark - Your Own Personal #AI Supercomputer ✅ [--] petaFLOP ✅ 128GB of coherent unified system memory ✅ ConnectX-7 Smart NIC ✅ Up to 4TB Storage ✅ 150mm L x 150mm W x 50.5mm H Reserve yours now" [YouTube Link](https://youtube.com/watch?v=owD8jmnM_ng) 2025-07-01T17:42Z 201K followers, 104.2K engagements "Jensen Huang Shows Off the New #NVIDIA DGX Spark Personal AI Computer #computex2025 #dgxspark #ai" [YouTube Link](https://youtube.com/watch?v=0jjam2JDi8c) 2025-05-23T15:36Z 201K followers, 19K engagements "DGX Spark Live: Installation & First Run Guide for Robotics Developers This is the essential live session for robotics developers ready to leverage NVIDIA Isaac Sim on the powerful DGX Spark platform. We'll guide you through the initial steps to get your high-fidelity simulation environment up and running on the aarch64 architecture. What You'll Learn & Do: Installation Walkthrough: Follow along with the official documentation process including the specific details for the DGX Spark where the ARM build is generated by default. Launch & Verification: We'll show you how to properly launch the" [YouTube Link](https://youtube.com/watch?v=34PJYWPcqK4) 2025-12-09T01:03Z 201K followers, [----] engagements "Build Reasoning Agents For Physical AI Cosmos Labs Learn how to apply Cosmos Cookbook recipes for physical AI reasoning using Cosmos Reason in this hands-on technical deep dive. In this session we explore how egocentric or first-person reasoning allows robots to understand social cues and physical laws leading to safer and more natural humanrobot interactions. We also show how fine-tuning Cosmos Reason with domain-specific data such as heavy traffic improves understanding in complex dynamic environments. Similar methods can be used to filter synthetic data and build visuallanguage agents for" [YouTube Link](https://youtube.com/watch?v=7O70xBA95hQ) 2026-01-28T05:48Z 201K followers, [----] engagements "NVIDIA DGX Spark Lights up CES [----] Show Floor One year after the debut of Project Digits DGX Spark has transformed from concept to reality and is now available from NVIDIA and OEM partners. See it in action at #CES2026 where enterprise creative and agentic AI meet the edge of innovation. #SparkSomethingBig https://www.nvidia.com/en-us/events/ces/" [YouTube Link](https://youtube.com/watch?v=7Rl71SPi4lw) 2026-01-15T00:00Z 201K followers, 724.2K engagements "DGX Spark: Powering EPRIs AI Research Join EPRI a nonprofit research organization dedicated to advancing the science that powers a reliable affordable and resilient energy future. Discover how EPRI is innovating with NVIDIA DGX Spark to run advanced openweight models such as gptoss120b and Qwen3Embedding8B to drive a secure AI-powered document research assistant. Get started with DGX Spark: https://nvda.ws/4o2rDHn" [YouTube Link](https://youtube.com/watch?v=7U-NvEfKVfc) 2025-11-14T18:09Z 201K followers, [----] engagements "🎁 For the Innovator Who Has Everything (Except This) . an NVIDIA DGX Spark 🎁 Compact capable and efficient -- NVIDIA DGX Spark is the perfect companion for anyone ready to build prototype or refine their AI ideas. Give the gift that doesnt just keep on giving -- it keeps innovating. ✨ Shop now to #SparkSomethingBig: https://marketplace.nvidia.com/en-us/enterprise/personal-ai-supercomputers/dgx-spark/" [YouTube Link](https://youtube.com/watch?v=7hFdmt8driQ) 2025-12-09T23:44Z 201K followers, 29.4K engagements "Turn Text Into a Knowledge Graph with 70B LLM on DGX Spark Looking to run local GraphRAG or other graph analytics use cases With DGX Spark you can prepare your local text files for graph use cases at your desk. In this demo a Llama-3.1-70B model served by Ollama runs locally in DGX Sparks 128GB of unified memory. After uploading local biomedical research papers into the LLM the model extracts nodes and relationships that are embedded into a knowledge graph. By processing entire documents at once the knowledge graph retains critical long-range relationships that make GraphRAG and other graph" [YouTube Link](https://youtube.com/watch?v=8iA_f_UpzHc) 2025-10-27T15:30Z 201K followers, 37.8K engagements "Quantum Computing: Where We Are and Where Were Headed NVIDIA GTC [----] Fireside Chat NVIDIA founder and CEO Jensen Huang hosts industry leaders from Alice & Bob Atom Computing AWS D-Wave Infleqtion IonQ Microsoft Pasqal PsiQuantum Quantinuum Quantum Circuits QuEra Computing Rigetti and SEEQC to learn today's state of the art and what the future holds for useful quantum computing. These unprecedented fireside chats bring together the whole quantum computing community for an overview of this exciting technology. Panelists: Ben Bloom Founder and CEO Atom Computing Alan Baratz CEO D-Wave Krysta" [YouTube Link](https://youtube.com/watch?v=9XB-LsfpvCU) 2025-04-09T16:15Z 201K followers, 232.6K engagements "Developer Insights NVIDIA DGX Spark at PyTorch Conference Hear how this developer would #SparkSomethingBig if he had one at home. We love the excitement around NVIDIA DGX Spark at #PyTorchCon and #OpenSourceAIWeek" [YouTube Link](https://youtube.com/watch?v=9eoZZ60dfuw) 2025-10-23T16:03Z 201K followers, 18.2K engagements "NVIDIA MultiTalker ASR Demo: Real-Time Multi-Speaker Transcription Made Easy See how NVIDIAs MultiTalker ASR technology delivers live automatic transcription for conversations with multiple speakerseven when people talk over each other. This advanced AI system separates identifies and captions up to four voices simultaneously requiring no registration or enrollment. Built on NVIDIAs high-precision speech models MultiTalker extends beyond single-speaker ASR to capture every voice accurately and organize each streamwithout compromising clarity or speed. Watch the demo to explore latency and" [YouTube Link](https://youtube.com/watch?v=AThOsk2qJbs) 2025-12-05T21:19Z 201K followers, [----] engagements "Getting Started with the NVIDIA DGX Spark NVIDIA DGX Spark powered by the NVIDIA GB10 Grace Blackwell Superchip delivers one petaFLOP of AI performance in a power-efficient compact form factor. With the NVIDIA AI software stack preinstalled and [---] GB of memory developers can prototype fine-tune and inference the latest generation of reasoning AI models from DeepSeek Meta NVIDIA Google Qwen and others with up to [---] billion parameters locally. This video walks you through how to power on and set up the device for the first time (first boot tutorial). Learn more: build.nvidia.com/spark" [YouTube Link](https://youtube.com/watch?v=AamP-LbGHXQ) 2025-10-14T23:23Z 201K followers, 71.4K engagements "Getting Started with CUDA and Parallel Programming NVIDIA GTC [----] Session Join one of CUDA's architects on a journey through the concepts of parallel programming: how it works why it works why it's not working when you think it should be working and in particular why it's different on a GPU from a CPU. We'll look at different approaches to parallel programming in CUDA and how to take advantage of the hardware it runs on. This is the next episode in what has become a series looking at the way that CUDA and the GPU work and why they work this way. This session will focus on how to think about" [YouTube Link](https://youtube.com/watch?v=GmNkYayuaA4) 2025-04-10T21:28Z 201K followers, 33.4K engagements "Building a Multi-Agent Chatbot Demo on DGX Spark Looking to build a smarter fully local chatbot with multiple AI models working together This demo shows how to create a local multi-agent chatbot on DGX Spark running LLMs and VLMs side by side. A gpt-oss-120b supervisor agent coordinates experts in coding retrieval-augmented generation and visual understanding unlocking the power of collaborative AI. Create this chatbot using the playbook here- https://build.nvidia.com/spark/multi-agent-chatbot Learn more: build.nvidia.com/spark" [YouTube Link](https://youtube.com/watch?v=ItHGtLqUl3M) 2025-10-10T20:06Z 201K followers, 11.5K engagements "How to Write a CUDA Program - Parallel Programming #gtc25 #CUDA Click to watch the full session from GTC25: "How to Write a CUDA Program - The Parallel Programming Edition" https://youtu.be/GmNkYayuaA4 Join one of CUDA's architects on a journey through the concepts of parallel programming: how it works why it works why it's not working when you think it should be working and in particular why it's different on a GPU from a CPU. We'll look at different approaches to parallel programming in CUDA and how to take advantage of the hardware it runs on. This is the next episode in what has become a" [YouTube Link](https://youtube.com/watch?v=KPeTgySUmW8) 2025-04-22T21:48Z 201K followers, 21.1K engagements "Vibe Coding Demo on DGX Spark See how we build an AI app on DGX Spark that finds uplifting news and the best pet videosbecause innovation should inspire and make you smile. Using Continue.dev we demo vibe coding with agentic workflows that spark creativity and accelerate your AI journey. Learn more: build.nvidia.com/spark" [YouTube Link](https://youtube.com/watch?v=MLu7TdwJDkw) 2025-10-07T21:16Z 201K followers, 12.5K engagements "Getting Started with NVIDIA Triton Inference Server Triton Inference Server is an open-source inference solution that standardizes model deployment and enables fast and scalable AI in production. Because of its many features a natural question to ask is where do I begin Watch the video to find out GitHub: https://github.com/triton-inference-server/server Documentation: https://github.com/triton-inference-server/server/tree/main/docs #ai #inference #nvidiatriton #AI #inference #nvidiatriton ai inference ai inference nvidia triton triton inference server #AI #inference #nvidiatriton ai" [YouTube Link](https://youtube.com/watch?v=NQDtfSi5QF4) 2022-09-07T20:28Z 201K followers, 59.7K engagements "Building Multimodal AI RAG with LlamaIndex NVIDIA NIM and Milvus LLM App Development This video explains how to create a multimodal AI retrieval-augmented generation (RAG) application including the following steps: [--]. Document processing: Convert documents into text form using vision language models specifically NeVA 22B for general image understanding and DePlot for charts and plots. [--]. Vector database: Explore the power of GPU-accelerated Milvus for efficient storage and retrieval of your embeddings. [--]. Inference with Llama 3: Leverage the NVIDIA NIM API Llama [--] model to handle user queries" [YouTube Link](https://youtube.com/watch?v=NaT5Eo97_I0) 2024-09-03T21:06Z 201K followers, 24K engagements "Getting Started with the Jetson Orin Nano Developer Kit The NVIDIA Jetson Orin Nano Developer Kit sets a new standard for creating entry-level AI-powered robots smart drones and intelligent cameras. Compact design lots of connectors and up to [--] TOPS of AI performance give you everything you need to transform your visionary concepts into reality. In this video we take you through an overview of the Jetson Orin Nano Developer Kit including its key features specifications and components along with how to power on and initiate first boot of the device. To learn more please visit our website:" [YouTube Link](https://youtube.com/watch?v=VWdJ4BCtam8) 2023-03-21T15:17Z 201K followers, 132.9K engagements "Fine-Tuning 8B Parameter Model Locally Demo with NVIDIA DGX Spark What if you could fine-tune massive AI modelsup to [--] billion parametersright on your desktop With NVIDIA DGX Spark you can. Supercharge your AI creativity by improving the performance of pre-trained models through easy powerful fine-tuning. Build solutions tailored exactly to your needswithout waiting on massive data centers. Learn more: build.nvidia.com/spark" [YouTube Link](https://youtube.com/watch?v=_C_0LvyN7QY) 2025-08-29T17:00Z 201K followers, 17K engagements "Deploying Generative AI in Production with NVIDIA NIM Unlock the potential of generative AI with NVIDIA NIM. This video dives into how NVIDIA NIM microservices can transform your AI deployment into a production-ready powerhouse. Learn how NIM delivers flexible scalable and secure AI applications across any platformcloud data centers or on-prem. Discover how its cloud-native architecture backed by powerful tools like NVIDIA Triton Inference Server and TensorRT-LLM simplifies the deployment and scaling of AI models ensuring efficient and cost-effective operations. Whether you're looking to" [YouTube Link](https://youtube.com/watch?v=bpOvayHifNQ) 2024-05-20T16:49Z 201K followers, 311K engagements "Getting Started with the NVIDIA Jetson AGX Orin Developer Kit The NVIDIA Jetson AGX Orin Developer Kit makes it easy to get started with Jetson Orin. Compact size lots of connectors and up to [---] TOPS of AI performance make this developer kit perfect for prototyping advanced AI-powered robots and other autonomous machines. In this video we take you through an overview of the Jetson AGX Orin Developer Kit including its key features specifications and components along with how to power on and initiate first boot of the device. For more details please check out our Getting Stated Guide:" [YouTube Link](https://youtube.com/watch?v=eFgsOeHMAW4) 2022-04-11T19:07Z 201K followers, 85.2K engagements "DGX Spark: Accelerated cuPyNumeric on your Desktop Cluster NVIDIA cuPyNumeric a multi-node multi-GPU NumPy-compatible library is ideal for domain scientists and researchers to scale their Python and NumPy program to multi-GPU multinode without having to write complex parallel computing code like MPI. Well demonstrate how to use [--] DGX Spark systems as a desktop cluster to accelerate cuPyNumeric locally. Get started with DGX Spark: https://nvda.ws/4o2rDHn" [YouTube Link](https://youtube.com/watch?v=ghysPxEUZwU) 2025-11-06T16:22Z 201K followers, [----] engagements "Getting Started with the NVIDIA Jetson AGX Thor Developer Kit for Physical AI The NVIDIA Jetson AGX Thor Developer Kit is the ultimate developer resource for building the future of humanoid robotics and next-generation physical AI applications. Powered by the advanced NVIDIA Blackwell GPU and [---] GB of memory it delivers up to [----] FP4 TFLOPS of AI performanceall within a [---] W power envelope. This video walks you through how to power on and set up the device for the first time (first boot tutorial). It also covers key features specifications and components and the latest NVIDIA workflows" [YouTube Link](https://youtube.com/watch?v=iYT2haVIgSM) 2025-08-25T15:01Z 201K followers, 65.6K engagements "DGX Spark Live: Sovereign Data Solutions With GT Edge AI Join the NVIDIA AI Developer livestream featuring an early access partner GT Edge AI for a hands-on look at why they are building hybrid edge intelligence on the DGX SPARK platform building for users that need to work with sovereign data in a secure environment. Learn why GT Edge AI is building its OS on SPARK covering agent frameworks hybrid deployment patterns and how to extend AI pipelines to the edge with both cloud hosted and local models for inference while keeping data local. GT Edge AI are building their product with the Dell" [YouTube Link](https://youtube.com/watch?v=l-wQib4k-3A) 2026-01-21T07:46Z 201K followers, [----] engagements "DGX Spark Live: Your Questions Answered Vol. [--] Got questions about DGX Spark / GB10 Whether youre exploring how DGX Spark can boost your workflows or looking to get more out of your existing setup this livestream is designed to give you real answers and practical insights. Well cover key topics to help you fully understand such as benefits use case and integration. Join us live bring your questions and get the clarity you need to make the most of your DGX Spark experience" [YouTube Link](https://youtube.com/watch?v=nRo-tQC-mEY) 2026-02-04T00:09Z 201K followers, [----] engagements "DGX Spark Live: Developer Q&A Got questions about DGX Spark You're not alone With any new product launch there are always a lot of details to uncover. In this special livestream we're diving deep to answer your most pressing questions about the new DGX Spark system. We'll answer your questions to give you a complete understanding of: - Why was DGX Spark created - Who was it created for - What are ideal use cases for DGX Spark Most importantly we'll help you figure out the big question: Should you have a DGX Spark on your desk Tune in ask your questions live and get the clarity you need. Learn" [YouTube Link](https://youtube.com/watch?v=ry09P4P88r4) 2025-10-24T18:39Z 201K followers, 374.2K engagements "DGX Spark Live: Real-Time Worker Safety with OnSight AI Powered by DGX Spark and Smart Glasses Join our latest hackathon winners - Team Tabasco for a live demo of OnSight AI a real-time AI safety and compliance system built during the NVIDIA DGX Spark Hackathon on December 12th. Using smart glasses and a Vision-Language Model (VLM) running on DGX Spark OnSight AI continuously analyzes first-person video to detect safety violations such as protective equipment and lock-out-tag-out (LOTO) compliance and delivers instant audio feedback to workers. See how the team integrated iOS/Android smart" [YouTube Link](https://youtube.com/watch?v=t-GIii3WE9I) 2025-12-20T07:49Z 201K followers, [----] engagements "DGX Spark: Observing the Universe at Light Speed Tired of the perpetual 'dark sky vs. glowing screen' battle while doing visual astronomy That bright phone or tablet running SkySafari ruins your night vision and focus. We're showing off a custom AI agent running on DGX Spark that lets you have a natural voice-activated conversation with your telescope no more fumbling with apps in the dark. Join us for a deep dive and live demonstration of the full stack that allows an open-source GPT model (GPT-OSS:20b) to control a high-end mount (10micron GM2000) for astronomical objects and satellites." [YouTube Link](https://youtube.com/watch?v=uFR36XUgfCs) 2025-11-01T06:30Z 201K followers, 509K engagements "DGX Spark Live: Process Text for GraphRAG With Up to 120B LLM See NVIDIA DGX Spark in action for local GraphRAG and graph analytics. We will showcase how this demo runs entirely on DGX Sparks 128GB unified memory extracting nodes and relationships from local biomedical research papers to build a context-aware Knowledge Graph in ArangoDB. Getting Started with DGX Spark: https://nvda.ws/4o2rDHn Start building with DGX Spark: https://nvda.ws/49TaaNs" [YouTube Link](https://youtube.com/watch?v=uQtzjAvJMlE) 2025-11-19T03:31Z 201K followers, [----] engagements "DGX Spark Live: Rapid AI Agent Development The latest generation of AI models is accelerating the deployment of AI agents helping to write code perform deep research or act as a personal assistant managing schedules booking travel and updating calendars. The ability to quickly create and deploy AI agents is becoming a business imperative. Join us to learn how Aible enables you to rapidly create AI agents within minutes using your data and easily deploy them on desktop data center or cloud. We will explore how Aible takes advantage of DGX Spark to build and deploy agents and how you can use" [YouTube Link](https://youtube.com/watch?v=yD72eaCOQjA) 2026-01-28T06:22Z 201K followers, [----] engagements "Build Vision AI Pipelines Faster with NVIDIA DeepStream Inference Builder The DeepStream Inference Builder part of NVIDIA's DeepStream SDK is a toolkit for building real-time AI-powered streaming analytics pipelines using video audio or image data. Inference Builder turns AI model ideas into production-ready services with ease. Developers can now go from YAML config to deployment in minutesautomating data flow preprocessing model execution and API integration. This video walks through how to use DeepStream Inference Builder with a quick example. Learn more about DeepStream SDK" [YouTube Link](https://youtube.com/watch?v=yj11L8rFC30) 2025-09-23T16:01Z 201K followers, [----] engagements "NVIDIA Jetson AGX Xavier Developer Kit Initial Setup This video will quickly help you configure your NVIDIA Jetson AGX Xavier Developer Kit so you can get started developing with it right away. In addition to this video please see the user guide (linked below) for full details about developer kit interfaces and the NVIDIA JetPack SDK. View the Jetson AGX Xavier Developer Kit User Guide: https://developer.nvidia.com/embedded/dlc/jetson-agx-xavier-developer-kit-user-guide Purchase the Jetson AGX Xavier Developer Kit: https://developer.nvidia.com/buy-jetson" [YouTube Link](https://youtube.com/watch?v=-nX8eD7FusQ) 2018-12-21T18:24Z 200K followers, 68.2K engagements "DIY Autonomous Car Racing with NVIDIA Jetson Interested in seeing AI races in person Visit our amAIzing race track to watch or compete as DIY autonomous cars battle it out to the finals. The DIY Robocars community will be revving up their RC-sized cars at NVIDIAs GTC [----] in San Jose. Attendees are invited to root for their favorite team and learn about the cutting-edge AI technology in action. Victors and runner-ups will be awarded prizes In this video we talked to Chris Anderson Founder of DIY RoboCars and with members of the UCSD robotics club that participated in the [----] DIYRobocars" [YouTube Link](https://youtube.com/watch?v=4B2ipB7n5Nk) 2020-01-31T18:31Z 201K followers, 306.1K engagements "CUDA: New Features and Beyond NVIDIA GTC [----] The CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through CUDA's libraries compilers runtimes and language which means CUDA is growing as fast as its ecosystem is evolving. At this engineering-focused talk by one of the architects of CUDA you'll learn what's new and what's coming next for both CUDA and GPU computing as a whole. CUDA Toolkit: https://developer.nvidia.com/cuda-toolkit Speaker: Stephen Jones CUDA Architect NVIDIA Topic: CUDA Development and Optimization -" [YouTube Link](https://youtube.com/watch?v=6o_Wme-FdCU) 2025-04-09T20:00Z 200K followers, [----] engagements "NVIDIA Cosmos Cookbook: Tips for the Physical Plausibility Recipe Learn how to get more out of NVIDIA Cosmos with tips straight from the authors behind our Cosmos Cookbook recipes. Watch the livestream 👉 https://www.addevent.com/calendar/ss55fmjpm04t Explore the Cosmos Cookbook 👉 https://nvda.ws/4k7EmaN Register for the hackathon 👉 https://nvda.ws/4qP4sly #NVIDIACosmos #WorldFoundationModels #CosmosCookbook #PhysicalAI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI" [YouTube Link](https://youtube.com/watch?v=7qlBN7aAQas) 2026-02-04T19:05Z 201K followers, [----] engagements "Agentic AI Solutions with CrewAI and Nemotron Nemotron Labs Join this exclusive livestream for a practical deep dive with CrewAI CEO Joaoa Moura exploring real-world agentic streaming and the latest breakthroughs using Nemotron open models in production frameworks for top brands. What developers will learn: How CrewAI integrates Nemotron for rapid modular agent workflows powering everything from simple task automation to complex multi-agent orchestration. Field-tested tips and best practices on building scalable agents with insights pulled directly from CrewAIs deployments in enterprise" [YouTube Link](https://youtube.com/watch?v=9X5QtRUW0LA) 2026-01-05T20:58Z 201K followers, [----] engagements "Inference Office Hours with SGLang: Performance Optimizations for LLM Serving Join us to find out the latest inference optimizations for leading open source models from SGLang on NVIDIA GPUs. Well dive into an in-depth overview of the engineering behind optimizing SGLang on GB200 followed by a deep dive of recent performance advancements targeting low-latency inference and throughput efficiency. General Resources: Dynamo Day on demand: Inference OSS Ecosystem featuring SGLang https://nvda.ws/3MeKMsb SGLang Adds Day-0 Support for the Highly Efficient Open Nemotron [--] Nano Hybrid MoE Model" [YouTube Link](https://youtube.com/watch?v=CLzz7ZalYD8) 2026-02-06T01:33Z 201K followers, [----] engagements "Inside Document Intelligence: Architecture & Demos from Edison Scientific and Justt Nemotron Labs As a follow-up to our 2/10 session on building a Document Intelligence pipeline for RAG with Nemotron this livestream focuses on how companies apply IDP in real-world products. Edison Scientific and Justt will join us to demo how they use Nemotron to process and understand complex documents at scale. Join us to see how teams are deploying document intelligence in production and what it takes to build these systems in the real world" [YouTube Link](https://youtube.com/watch?v=HRPklLSnEcY) 2026-02-07T02:35Z 201K followers, [--] engagements "How to Build a Document Processing Pipeline for RAG with Nemotron Learn to build a document pipeline that turns PDFs into cited answers with NVIDIA Nemotron. Traditional Retrieval-Augmented Generation (RAG) is effective for regular text but often fails with real-world documents that include tables figures and nested tables. When these complex document structures are reduced to simple text strings it causes "linearization loss". This means the helpful structure needed to understand the documents is removed which can lead to problems like not knowing which column a row value belongs to" [YouTube Link](https://youtube.com/watch?v=RzWXAI69G90) 2026-02-04T16:49Z 201K followers, [----] engagements "NVIDIA Cosmos Cookbook: Tips for the Intelligent Transportation Post-Training Recipe Learn how to get more out of NVIDIA Cosmos with tips straight from the authors behind our Cosmos Cookbook recipes. Watch the livestream 👉 https://www.addevent.com/calendar/ss55fmjpm04t Explore the Cosmos Cookbook 👉 https://nvda.ws/4k7EmaN Register for the hackathon 👉 https://nvda.ws/4qP4sly #NVIDIACosmos #WorldFoundationModels #CosmosCookbook #PhysicalAI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI" [YouTube Link](https://youtube.com/watch?v=TEof1VPsu-4) 2026-02-02T19:00Z 201K followers, [----] engagements "Unboxing the NVIDIA DRIVE AGX Thor Developer Kit The developer kit is built on the NVIDIA Blackwell architecture next-generation Arm Neoverse V3AE CPUs and the NVIDIA DriveOS [--] software stack. Its purpose-built for reasoning vision language action models and ideal for automotive development with sufficient I/O to support surround cameras radars and lidars as well as common vehicle interfaces including GbE/10GbE and PCI-Express. DRIVE AGX Thor also meets the automotive industrys stringent functional safety (ISO 26262) and cybersecurity requirements (ISO 21434). URLs mentioned in the video:" [YouTube Link](https://youtube.com/watch?v=Tjzuyh1Ra4Q) 2025-09-22T18:34Z 200K followers, [----] engagements "Ask the Experts: Meet Nemotron [--] Nano AI Researchers Nemotron Labs Curious how Nemotron [--] Nano was builtand how to start building agents with Nemotron [--] Nano Nemotron [--] Nano is an open hybrid MambaTransformer MoE model designed for efficient longcontext agentic workloads. This livestream is your chance to chat directly with the Nemotron AI researchers behind the model and learn whats new. In this Nemotron Labs livestream you can ask about: - How the hybrid MambaTransformer MoE backbone works in practice and what it means for latency throughput and longrange reasoning in realworld agents. -" [YouTube Link](https://youtube.com/watch?v=UO2N8v5NaLo) 2026-01-26T22:08Z 201K followers, [----] engagements "Introducing NVIDIA DGX Spark GTC [----] Keynote NVIDIA DGX Spark belongs to a new class computers designed to build and run AI enabling developers to prototype fine-tune and inference large #AI models locally and seamlessly deploy to the data center or cloud. Learn more: https://www.nvidia.com/en-us/products/workstations/dgx-spark/ 📣 Announced 5/19/2025: We will be launching our AI-first personal computing systems NVIDIA DGX Spark and DGX Station with global computer makers. ➡" [YouTube Link](https://youtube.com/watch?v=UaGFUtqravQ) 2025-03-19T16:29Z 201K followers, 15K engagements "CES meets DGX Spark [----] wrap-up Join the NVIDIA Developer Community Team for our CES [----] WrapUp livestream. Well look at this years biggest moments and innovations from the keynote and bustling CES show floor featuring demos in action. Well share insights and reactions from the event adding depth and perspective including updates and responses to recent announcements across the industry. Then well spotlight whats new with DGX Spark the firstoutofthegate platform powering nextgeneration AI research and development everywhere. Expect snapshots of new opensource models community contributions" [YouTube Link](https://youtube.com/watch?v=UeSGx3pB25Y) 2026-01-07T00:02Z 201K followers, [----] engagements "Intro to NVIDIA NIM for AI Builders Discover why portable cloud-native inference microservices are ideal for powering enterprise generative AI applications. Add to your calendar: https://www.addevent.com/event/FM24088078 To further explore and get started with NIM visit these resources: NVIDIA NIM for Developers: https://nvda.ws/4frykhh Try the NVIDIA Launchable from the livestream: https://nvda.ws/3VM3IQo NIM AI foundation models discord channel (First join the developer discord before participating in this channel): https://nvda.ws/3DqvWdi Try NIM in the NVIDIA API catalog:" [YouTube Link](https://youtube.com/watch?v=X12Li9eakF8) 2024-12-04T16:26Z 200K followers, 16.1K engagements "NVIDIA Jetson AGX Xavier Developer Kit - Introduction The NVIDIA Jetson AGX Xavier Developer Kit is the latest addition to the Jetson platform. Its an AI computer for autonomous machines delivering the performance of a GPU workstation in an embedded module under 30W. Jetson AGX Xavier is designed for robots drones and other autonomous machines. Learn more: https://developer.nvidia.com/jetson-xavier NVIDIA Jetson Developer Kit Robotics AI at the edge Autonomous Machines Intelligent Machines GPU AI Deep Learning Artificial Intelligence NVIDIA Jetson AGX Xavier NVIDIA Jetson Developer Kit" [YouTube Link](https://youtube.com/watch?v=XoWW5HiGHsg) 2018-07-10T23:50Z 200K followers, 127.7K engagements "Create Infinite Medical Imaging Data with Generative AI Learn More: https://monai.io/ #MONAI #medicalimaging #medicalAI Generative AI for medical imaging can create infinite synthetic images of the human anatomy. These large synthetic datasets are used for training generalizable AI models that can learn from evolving patient data while preserving patient privacy. Learn how MONAI a framework for building and deploying medical AI and partners like Kings College London Mount Sinai and East River Imaging are using generative AI to study disease and make AI decisions and predictions more accurate" [YouTube Link](https://youtube.com/watch?v=YHTSdd8-bnc) 2023-03-21T16:41Z 201K followers, 89.8K engagements "3 Steps for Building an Intelligent Document Pipeline for RAG With Nemotron Learn how to build a high-throughput IDP pipeline that uses vision-based extraction to turn complex charts and nested tables into searchable intelligence. By preserving document structure with markdown and multimodal embeddings you can boost RAG accuracy by 40%. Check out the full Jupyter notebook and technical blog. 📝 Tech blog: https://nvda.ws/3NVXM6r 📝Notebook: https://colab.research.google.com/drive/1qQXYfzmaIXglKfnqhZ2YXXE_OmAybxSr" [YouTube Link](https://youtube.com/watch?v=_SMEr44a0GI) 2026-02-05T17:00Z 201K followers, [----] engagements "1001 Ways to Accelerate Python with CUDA Kernels NVIDIA GTC [----] Learn how to write high-performance CUDA kernels directly in Python using tools and best practices that maximize GPU acceleration. In this NVIDIA GTC [----] session well explore kernel structure memory management thread coordination and optimization strategiesmaking it easier than ever to integrate CUDA into your Python applications. Speaker: Leo Fang Python CUDA Tech Lead NVIDIA Watch more NVIDIA GTC sessions on demand: https://www.nvidia.com/en-us/on-demand/ncid=so-yout-194474-vt33 CUDA Toolkit:" [YouTube Link](https://youtube.com/watch?v=_XW6Yu6VBQE) 2025-04-16T17:00Z 200K followers, 12.5K engagements "What is CUDA Tile Join Stephen Jones CUDA Architect for a clear and insightful introduction to a paradigm-shifting technology: CUDA Tile. If you're wondering how modern GPU programming is evolving this video provides the essential foundation. We break down the core concepts of CUDA Tile explain why it's a necessary development for peak performance and discuss how it fundamentally changes the way we think about parallel computation. Speaker & Resources: 👤 Speaker: Stephen Jones CUDA Architect 📖 Official CUDA Tile Documentation: http://docs.nvidia.com/cuda/tile-ir 💡 Explore CUDA Tile:" [YouTube Link](https://youtube.com/watch?v=cHryyRX5Q2U) 2025-12-19T19:09Z 201K followers, [----] engagements "Dynamo and Kubernetes Gateway Live from CES Join us for our Dynamo Office Hours from CES This is your opportunity to get hands-on support ask questions and explore NVIDIA Dynamo workflows with our experts. In this edition well learn about how Dynamo integrates with the Kubernetes Gateway API via its inference extension helping you plug dynamo into existing kubernetes clusters and use existing kubernetes plugins. Well explain what the inference extension is and how you can use it with Dynamo. Whether you're just getting started or looking to dive deeper this session is here to help you level" [YouTube Link](https://youtube.com/watch?v=ewoKy9Y-2Z0) 2026-01-10T00:16Z 201K followers, [---] engagements "Build a RAG Agent with NVIDIA Nemotron Nemotron Labs Curious about designing AI agents using RAG Join us for a developer-focused livestream that takes you from first principles to code exploring the "why" and "how" of building agentic AI using practical examples. Well cover step by step: - A live demo: building and running a simple agentic RAG pipeline in a coding window with Nemotron NVIDIAs open reasoning model - How to connect tools use memory and see agentic behavior in action - Your questions answered throughout with relatable explanations and no prior experience needed By the end you'll" [YouTube Link](https://youtube.com/watch?v=f0utW0eLueY) 2025-09-01T21:59Z 200K followers, [----] engagements "An Introduction to NVIDIA Cosmos World Foundational Models NVIDIA GTC [----] NVIDIA Cosmos is transforming how robots and autonomous vehicles learn accelerating physics-aware synthetic video generation with world foundation models. Join Ming-Yu NVIDIAs VP of Generative AI Research to see how Cosmos is democratizing physical AI developmentgiving developers open models and tools to build custom world models faster than ever. Speaker: Ming-Yu Liu VP Generative AI Research NVIDIA NVIDIA GTC [----] Session S72431. Watch more #robotics sessions from GTC on demand:" [YouTube Link](https://youtube.com/watch?v=kChwwFb5gMU) 2025-04-08T22:30Z 201K followers, 16.3K engagements "Implementing New Algorithm with CUDA Kernels CUDA C++ Class Part [--] Welcome to NVIDIAs Modern CUDA C++ Programming Class. You will learn how to implement new algorithms on the GPU using CUDA Kernels. This series is for C++ developers who want to use the GPU effectivelywhether youre new to CUDA and want the fastest path from hello world to real acceleration or youre an experienced CUDA programmer ready to modernize your code with the latest best practices. If you already know C++ and want to write clean efficient idiomatic GPU code this course is for you. This video is part of a broader" [YouTube Link](https://youtube.com/watch?v=kTWoGCSugB4) 2025-11-06T22:13Z 200K followers, [----] engagements "Building with FLUX.2: From Prototype to Real-World Application Join Black Forest Labs a member of the NVIDIA Inception Program and NVIDIA for an immersive technical exploration into FLUX.2 the state-of-the-art model redefining the boundaries of visual synthesis. Technical experts will deconstruct the FLUX.2 architecture discussing optimized deployment strategies on NVIDIA infrastructure and the diverse use casesfrom enterprise design to media productionthat this model enables. In this livestream join us for: - Live coding demonstrations of real-world examples illustrating how to move a" [YouTube Link](https://youtube.com/watch?v=lY615qJVc18) 2026-01-22T13:05Z 201K followers, [----] engagements "Set Up a Graphic Design AI Agent in [--] Minutes with NVIDIA NIM Harness the power of AI agents for content creation and digital illustration using NVIDIA NIMa set of easy-to-use microservices designed for secure reliable deployment of high-performance AI models inferencing across clouds data centers and workstations. Zenodia Charpy senior deep learning data scientist and solution architect at NVIDIA walks you through how to set up two AI agentsone for content generation and another for digital graphic design. This process uses Llama [---] 405B alongside stable diffusion models and server-side" [YouTube Link](https://youtube.com/watch?v=mg0kwpmUhPU) 2024-11-21T21:55Z 200K followers, 6.9M engagements "Introduction to Physical AI & Robotics at NVIDIA This session will provide a high-level overview of NVIDIA's comprehensive approach to robotics emphasizing how our open models frameworks libraries and hardware are empowering developers to build intelligent and autonomous systems. Attendees will learn about the fundamental components of NVIDIA's robotics ecosystem" [YouTube Link](https://youtube.com/watch?v=p8yhD0JnScM) 2025-12-20T17:01Z 201K followers, [----] engagements "DGX Spark Live: Backend Development with Local LLM Inference In this episode well explore various ways DGX Spark can help engineering teams building Generative AI applications by iterating faster and managing their own development infrastructure. Topics covered include: open source inference engineers; open source models; use cases and opportunities. Getting Started with DGX Spark: https://nvda.ws/49TaaNs Demos shown available here: https://github.com/abdelrahmanhosny/embedded-ai" [YouTube Link](https://youtube.com/watch?v=rR3TpJvM150) 2025-12-05T06:27Z 200K followers, [----] engagements "First Look: NVIDIA DGX SuperPOD with DGX GB200 Systems An exclusive first look at an NVIDIA DGX SuperPOD with eight DGX GB200 systems. See everything -- from Grace Blackwell Superchips to InfiniBand and Spectrum-X networking and liquid cooling -- that makes it a record-setting system. Straight from an Equinix data center in Silicon Valley. Read the blog: https://nvda.ws/3FOL1GG" [YouTube Link](https://youtube.com/watch?v=uWECSx5CoiM) 2025-04-07T20:30Z 201K followers, 25.3K engagements "NVIDIA Cosmos Cookbook: Tips for the Egocentric Social and Physical Reasoning Recipe Learn how to get more out of NVIDIA Cosmos with tips straight from the authors behind our Cosmos Cookbook recipes. Watch the livestream 👉 https://www.addevent.com/calendar/ss55fmjpm04t Explore the Cosmos Cookbook 👉 https://nvda.ws/4k7EmaN Register for the hackathon 👉 https://nvda.ws/4qP4sly #NVIDIACosmos #WorldFoundationModels #CosmosCookbook #PhysicalAI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI" [YouTube Link](https://youtube.com/watch?v=wjWUjK0e6B8) 2026-02-03T16:55Z 201K followers, [----] engagements "Introduction to the Nsight Tools Ecosystem CUDA Developer Tools GPU acceleration enables faster and smarter applications and CUDA enables you to harness acceleration on NVIDIA GPUs. But debugging profiling and optimizing CUDA can be challengingespecially if you cant see the hardware processes interfacing with CUDA. To help you fully harness CUDA acceleration NVIDIA offers tools to make development easier and more efficient. This tutorial is an introduction to the NVIDIA Nsight Developer Tools ecosystem a suite of software libraries SDKs and IDE tools that help you use CUDA to accelerate your" [YouTube Link](https://youtube.com/watch?v=xdFQZSV5IrU) 2023-09-22T15:43Z 200K followers, 12.4K engagements "DGX Spark Live: Powering Higher Education and Research Join NVIDIA and Stanford researchers for an exciting look at Biomni a next-generation biomedical AI agent transforming how labs explore data and design experiments. Discover how Biomni running on NVIDIA DGX Spark turns complex biomedical workloads into fast automated insights giving teams a powerful launchpad for rapid experimentation evaluation and seamless scaling" [YouTube Link](https://youtube.com/watch?v=8v_dfwpAzdY) 2026-02-10T22:52Z 201K followers, [--] engagements "Set Up Your NVIDIA RTX [----] GPU for AI Development on Linux with PyTorch This step-by-step guide walks you through setting up your Ubuntu environment for deep learning using NVIDIA RTX [----] GPU PyTorch and Hugging Face. Learn how to install NVIDIA drivers verify installation install PyTorch and Hugging Face Transformers and run a state-of-the-art large language model. More specifically youll learn how to: ✔ Install the latest NVIDIA [----] drivers on Ubuntu [-----] LTS for optimal performance. ✔ Install PyTorch Torchaudio and Torchvision nightly with NVIDIA Blackwell support and validate GPU" [YouTube Link](https://youtube.com/watch?v=af7XjGekm4g) 2025-02-10T21:33Z 201K followers, 21.9K engagements "AI Warehouse: AMR Visual Navigation with Isaac Sim & Isaac ROS Autonomous machines are forecasted to dramatically increase the efficiency of warehouses factories and other industrial environments. NVIDIA Isaac ROS GEMs enable novel applications by empowering robots to intelligently perceive complex 3D environments. In this video we showcase a camera-based navigation pipeline in which a robot uses NVIDIAs GPU-accelerated visual SLAM algorithm (https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_visual_odometry) to find its location in the world. GPU-accelerated real-time 3D scene reconstruction" [YouTube Link](https://youtube.com/watch?v=afNVwoX_zd0) 2022-03-22T16:59Z 201K followers, 26.8K engagements "How to Build a Voice Agent with RAG and Safety Guardrails This tutorial provides a step-by-step guide on how to build a voice agent using the latest NVIDIA Nemotron models. Youll learn how to integrate four core components: multimodal RAG to retrieve relevant text and images automatic speech recognition (ASR) to convert live audio into text a safety model to filter safe or unsafe content and long-context reasoning to generate accurate grounded responses. 📝 Tech blog: https://nvda.ws/4snwyFz ➡ Learn more: https://nvda.ws/4jjQgxL 📥 Download:" [YouTube Link](https://youtube.com/watch?v=bCDcziL9OCo) 2026-01-05T22:10Z 201K followers, [----] engagements "Tensor Cores in a Nutshell This video gives a brief introduction to the Tensor Core technology inside NVIDIA GPUs and how its important to maximizing deep learning performance. https://developer.nvidia.com/tensor-cores NVIDIA AI GPU Tensor Core Tensor Cores Tensorcore Tensorcores Deep Learning DL Deep Learning Training AI Training CNN DNN Mixed-Precision Training Mixed-Precision Mixed Precision Mixed Precision Training FP-16 FP-32 FP16 FP32 NVIDIA AI GPU Tensor Core Tensor Cores Tensorcore Tensorcores Deep Learning DL Deep Learning Training AI Training CNN DNN Mixed-Precision Training" [YouTube Link](https://youtube.com/watch?v=yyR0ZoCeBO8) 2019-01-30T18:26Z 201K followers, 106.4K engagements "Getting Started with the NVIDIA Riva Parakeet NIM Learn how to get started with the NVIDIA Riva Parakeet NIM to create more natural and intuitive voice-powered applications from enhancing the accuracy of virtual assistants to enabling seamless real-time communication. Parakeet is a major step forward in the evolution of conversational AI. Its exceptional accuracy coupled with the flexibility and ease of use offered by NIM empowers developers to create endless possibilities. 00:00 - Part 1: Introduction 00:17 Part 2: API Catalog Demo at ai.nvidia.com 01:35 Part 3: NVIDIA Riva Parakeet NIM on" [YouTube Link](https://youtube.com/watch?v=QujhSgczkDo) 2024-07-05T16:51Z 190K followers, [----] engagements "Advancing HPC and AI Energy Efficiency with AWS and NVIDIA Data center resources face increasing strain from escalating energy demands particularly for large-scale HPC and generative AI workloads. Innovative solutions include cloud-based accelerated computing to sustain operations while minimizing environmental impact. In this video Srinivas Tadepalli of AWS explains how to address HPC and generative AI workload needs shares customer use cases and offers three ways to achieve energy efficiency. Learn more about energy efficiency for HPC workloads on AWS with accelerated computing from NVIDIA:" [YouTube Link](https://youtube.com/watch?v=RBXmT33EuC8) 2024-04-26T18:10Z 194K followers, [----] engagements "Double Your Deep Learning Performance with JetPack [---] Learn how to double your deep learning performance with JetPack [---]. Our latest SDK for the Jetson TX1 packs a lot of punch so developers can add complex AI and deep learning abilities to intelligent machines. This all-in-one package bundles and installs all system software tools optimized libraries and APIs along with providing examples so developers can quickly get up and running with their innovative designs. Key features include TensorRT cuDNN [---] CUDA [--] and multimedia API. Download it today. We cant wait to see what you build with" [YouTube Link](https://youtube.com/watch?v=RJkOGMC8IrY) 2016-11-11T23:50Z 190K followers, 11.7K engagements "Whats New in Clara Train [---] In the field of medicine advancements in artificial intelligence are constantly evolving. To keep up with the pace of innovation means adapting and providing the best experience to researchers clinicians and data scientists. To this end NVIDIA Clara Train an application framework for training medical imaging models has undergone significant changes for its upcoming release in May with extensive product enhancements for better AI model training. Learn more about three of our most significant features introduced in Clara Train 4.0: [--]. We've upgraded the underlying" [YouTube Link](https://youtube.com/watch?v=RXqnBDAKQSU) 2021-04-12T17:31Z 193K followers, [----] engagements "NVIDIA Tegra System Profiler - Introduction An introduction to the latest NVIDIA Tegra System Profiler. Includes an UI workthrough and setup details for Tegra System Profiler on the NVIDIA Jetson Embedded Platform. Download and learn more at http://developer.nvidia.com/tegra-system-profiler" [YouTube Link](https://youtube.com/watch?v=R_GzhZe8IcM) 2015-11-17T00:54Z 189K followers, 21.7K engagements "Preview: Accelerated Exploratory Data Analysis and Visualization with pandas and NVIDIA RAPIDS" [YouTube Link](https://youtube.com/watch?v=SNue3urvrLA) 2025-02-14T20:39Z 160K followers, [---] engagements "What Inspired You to Become a Developer 👨💻 👩💻 ✨ Minecraft too 🎉 Happy International #ProgrammersDay #developer #programmer #programmersday" [YouTube Link](https://youtube.com/watch?v=SewszJnCJUw) 2024-09-12T16:00Z 194K followers, [----] engagements "3 Tips on Winning Kaggle Challenge from Grandmaster Chris Deotte 🏎 What does it take to win a Kaggle competition The top solution wasnt just accurate it was fast. 🏁 👀 Kaggle Grandmaster Chris Deotte details the exact stacking strategy that powered his first-place finish using GPU-accelerated modeling with cuML for the April [----] challenge. 📝 Youll learn a powerful pro tip: how to explore hundreds of diverse models quickly and combine them into a layered ensemble that outperforms the rest. ➡" [YouTube Link](https://youtube.com/watch?v=SxqBefe6IZc) 2025-05-24T21:00Z 193K followers, [----] engagements "Building AI with Clara Toolkits for Medical Imaging NVIDIA's David Nola walks through how to integrate Clara Train and Clara Deploy medical imaging tools into existing AI infrastructure. Learn more about Clara AI: https://nvda.ws/2NIagz1 Download Clara SDKs here: Clara Train - https://nvda.ws/2lgbcgg Clara Deploy - https://nvda.ws/2ldfqVX Clara SDKs are for developmental purposes only and cannot be used directly for clinical procedures" [YouTube Link](https://youtube.com/watch?v=T0Pjki4vXx0) 2019-07-08T18:16Z 161K followers, 28.2K engagements "BTS: How NVIDIA's KGMoN Team Won Kaggle ARC Prize [----] How did the ARC AGI [----] first-place winners incorporate synthetic data in their solution Go behind the scenes with Jean-Franois Puget and Ivan Sorokin from the KGMoN team at NVIDIA as they break down their cutting-edge strategy for solving the ARC-AGI [--] few-shot reasoning benchmark. Discover how they used synthetic data test-time training and NVIDIA NeMo tools including NeMo RL and NeMo Skills to build a smart efficient model that beat much larger systems" [YouTube Link](https://youtube.com/watch?v=T2vlVsiAVXs) 2025-12-05T18:02Z 195K followers, [----] engagements "Getting Started with NVIDIA Torch-TensorRT Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of NVIDIA TensorRT on NVIDIA GPUs. With just one line of code it provides a simple API that gives up to 6x performance speedup on NVIDIA GPUs. The integration also offers a fallback to native PyTorch when segments of the model aren't supported by TensorRT. This video will help you get started with Torch-TensorRT. Torch-TensorRT Container on NGC: https://nvda.ws/2ZISBh7 Documentation: https://nvidia.github.io/Torch-TensorRT/ Learn more about TensorRT:" [YouTube Link](https://youtube.com/watch?v=TU5BMU6iYZ0) 2021-12-02T16:57Z 189K followers, 48.3K engagements "Customizing AI Agents for Tool Calling with NVIDIA NeMo Microservices AI agents rely on tools to execute complex tasks effectively. As the number of available tools expands from tens to hundreds customizing the underlying models for tool calling becomes increasingly critical to maintain efficiency and accuracy. Learn how to customize AI agents for precise function calling with this end-to-end example with NVIDIA NeMo microservices. ➡ Learn more about NVIDIA NeMo: https://nvda.ws/3YfbGU9 📖 Read our new how-to technical blog: https://nvda.ws/4jwCKpl 📝 Tutorial:" [YouTube Link](https://youtube.com/watch?v=TX-NNK2FRdY) 2025-04-23T13:01Z 193K followers, [----] engagements "Search Through Your Video Dataset in Seconds" [YouTube Link](https://youtube.com/watch?v=USrUMB5Kd6c) 2025-11-19T18:03Z 194K followers, [----] engagements "Get Started with NVIDIA Jetson Nano Developer Kit NVIDIA Jetson Nano Developer Kit is a small powerful computer that lets you run multiple neural networks in parallel for applications like image classification object detection segmentation and speech processing. Learn more at: https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Join the NVIDIA Developer Program: https://nvda.ws/3OhiXfl Read and subscribe to the NVIDIA Tech Blog: https://nvda.ws/3XHae9F" [YouTube Link](https://youtube.com/watch?v=Uvu6NNOvhg4) 2019-03-18T23:26Z 195K followers, 560.7K engagements "DGX Spark Live: Powering EPRIs AI Research Join EPRI a nonprofit research organization dedicated to advancing the science that powers a reliable affordable and resilient energy future. Discover how EPRI is innovating with NVIDIA DGX Spark to run advanced openweight models such as gptoss120b and Qwen3Embedding8B to drive a secure AI-powered document research assistant. Get started with DGX Spark: https://nvda.ws/4o2rDHn" [YouTube Link](https://youtube.com/watch?v=VPl5-DVWbgw) 2025-11-13T03:45Z 193K followers, [--] engagements "Supercharge Pandas GroupBy & Aggregation with NVIDIA GPUs Grouping and aggregation in pandas are significantly faster on NVIDIA GPUs. In this tutorial we explore three different Pandas groupBy and aggregation syntaxes demonstrating how to accelerate these operations using NVIDIAs open-source data frame acceleration library cuDF. Learn how to take full advantage of GPU acceleration for faster more efficient data processing" [YouTube Link](https://youtube.com/watch?v=VcoIPM6dstM) 2025-03-13T21:58Z 188K followers, [----] engagements "How to Perform Large-Scale Image Classification Grandmaster Series E2 In episode two of the Grandmaster Series learn how participating members of the Kaggle Grandmasters of NVIDIA (KGMON) built large-scale image classification models to win the Google Landmark Recognition [----] Kaggle competition. In this landmark recognition challenge the team had to build models that recognize the correct landmark (if any) in a dataset of complicated test images. This is easier said than done given landmark recognition contains a much larger number of classes. For example there were more than [-----] classes" [YouTube Link](https://youtube.com/watch?v=VxNDH6qLZ_Q) 2020-11-17T16:01Z 192K followers, 48.4K engagements "NVIDIA Releases NIM Microservices to Safeguard Applications for Agentic AI NVIDIA NeMo Guardrails includes new NVIDIA NIM microservices to enhance accuracy security and control for enterprises building AI across industries. Read blog: https://nvda.ws/3Pvhgwh Read technical blog: https://nvda.ws/4hadILw Agentic AI AI Agent AI Agents Generative AI Safeguard AI AI Guardrails" [YouTube Link](https://youtube.com/watch?v=W0qT3n6JDV4) 2025-01-16T14:00Z 194K followers, [----] engagements "Unboxing the NVIDIA Jetson TX1 developer kit Get an inside view of the new NVIDIA Jetson TX1 DevKit. It is the newest member of the Jetson platform with even more performance and power efficiency than its predecessor the Jetson TK1. As you will see the TX1 features a module design plugged into a carrier board. It features the NVIDIA Maxwell GPU with [---] CUDA cores a Quad-core ARM A57 Processor [--] GB LPDDR4 core memory [--] GB flash storage and it is Wi-Fi Bluetooth and Ethernet ready. The DevKit comes preflashed with Linux for Tegra. And best of all the module is ready to be integrated into your" [YouTube Link](https://youtube.com/watch?v=WFUcGGuWhdk) 2015-11-19T21:04Z 189K followers, 37.7K engagements "BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects CVPR [----] We present a near real-time method for 6-DoF tracking of an unknown object from a monocular RGBD video sequence while simultaneously performing neural 3D reconstruction of the object. Our method works for arbitrary rigid objects even when visual texture is largely absent. The object is assumed to be segmented in the first frame only. No additional information is required and no assumption is made about the interaction agent. Key to our method is a Neural Object Field that is learned concurrently with a pose" [YouTube Link](https://youtube.com/watch?v=XH5t0wEH3d0) 2023-06-01T16:48Z 175K followers, [----] engagements "Scale AI Applications to the Data Center and Cloud with NVIDIA Nsight Systems Applications are harnessing generative AI and scaling out to the GPU-accelerated data center and cloud. To help you build software in today's large-scale computing environment NVIDIA Nsight Systems introduces new features that support application developers using microservices. Key features include: Multi-node analysis with scripts called recipes that visualize your applications execution with a Jupyter Notebook integration. Recipes guide you in optimizing GPU use CUDA kernel time and more. New recipes are available" [YouTube Link](https://youtube.com/watch?v=XPXfeh80zDE) 2024-03-18T22:00Z 192K followers, [----] engagements "Getting Started: NVIDIA AI Enterprise on Microsoft Azure Marketplace Learn how to launch NVIDIA AI Enterprise from Microsoft Azure Marketplace in [--] easy steps. The NVIDIA AI Enterprise marketplace offer on Microsoft Azure includes a VMI which provides a standard optimized run time for easy access to the NVIDIA AI Enterprise software and ensures development compatibility between clouds and on premises infrastructure. Develop once run anywhere. Learn more:" [YouTube Link](https://youtube.com/watch?v=XdHdgLNLtEE) 2023-05-24T15:34Z 188K followers, [----] engagements "NeRD 🤓 Advances Robotics (Neural Robot Dynamics) Meet NeRD 🤓: Neural Robot Dynamics for modern robots. By combining neural dynamics with analytical modules NeRD generalizes to new tasks and environments while keeping predictions stable. Ready to close the gap between simulation and reality Give NeRD a spin in Newton physics engine. From #NVIDIAResearch" [YouTube Link](https://youtube.com/watch?v=YKwrpPQJiGU) 2025-09-30T15:35Z 194K followers, [----] engagements "Train AI Agents for Command Line Tasks with Synthetic Data and Reinforcement Learning Nemotron Labs What if your computer-use agent could learn a new command-line tooloperating it safely without writing files or free-typing shell commands With NVIDIA Nemotron open models you can quickly train specialized agents for any CLI using synthetic data and reinforcement learningno usage logs required. Curious how it can be adapted for your own proprietary CLI environment Join us live for a developer-focused livestream. In this interactive livestream well cover: - A live demo: Generating synthetic" [YouTube Link](https://youtube.com/watch?v=YfX-kssx2N8) 2025-11-22T04:09Z 194K followers, [--] engagements "Beyond the Algorithm with NVIDIA: Simplify Deployment for a World of LLMs with NVIDIA NIM NVIDIA NIM microservice containers provide everything AI teams need to deploy the latest AI models from NVIDIA and the community with a simple docker run command. NVIDIA now provides a single NIM container designed to work with the most popular open source LLM architectures including over [------] LLMs on Hugging Face. With multiple inference backends including NVIDIA TensorRT-LLM vLLM and SGLang built-in the LLM-agnostic NIM container automatically pairs your choice of LLM with an optimal inference" [YouTube Link](https://youtube.com/watch?v=YsfnuZi2vEA) 2025-07-10T00:24Z 189K followers, [----] engagements "Build Powerful AI Agents with Qwen3-Next Meet Qwen3-next the open-source LLM powering next-gen AI agents Qwen3-next is a powerful open-source language model designed for advanced reasoning and coding that is fast scalable and works great with NVIDIA GPUs. In this video we'll show you how to run Qwen3-next with vLLM or SGLang for blazing-fast inference. Then see the Qwen3-next reasoning model in action with a data analyst agent application where you can upload your data ask questions in plain English and get instant insights and visualizations with no coding needed. ➡ Try out the model with" [YouTube Link](https://youtube.com/watch?v=Z5pjqa3WnEc) 2025-10-01T16:34Z 188K followers, [----] engagements "Live from NeurIPS: Meet the Researchers Nemotron Labs 📱 Join us live from NeurIPS for an inside look at groundbreaking research built with NVIDIA Nemotron a family of open models with open weights training data and recipes. During the livestream youll hear directly from NVIDIA researchers advancing the frontiers of AI: An introduction and insights from their NeurIPS-accepted research paper shaping new directions in machine learning The motivations and challenges behind their work Real-time answers to audience questions via live chat How these discoveries can be applied extended and" [YouTube Link](https://youtube.com/watch?v=ZHUhg4iTAVg) 2025-11-22T03:55Z 194K followers, [--] engagements "Dynamo Office Hours Join us for our Dynamo Office Hours your opportunity to get hands-on support ask questions and explore NVIDIA Dynamo workflows with our experts. Whether you're just getting started or looking to dive deeper this session is here to help you level up your skills and understanding. ✅ Meet service level objectives and balance time to first token and inter-token latency when serving OpenAI's new gpt-oss with NVIDIA Dynamo. 📈 Using disaggregated serving Dynamo delivers [--] better interactivity for long ISLs with no extra GPU cost. Dynamo supports major backends and brings" [YouTube Link](https://youtube.com/watch?v=_8EV2a6D2MY) 2025-08-08T12:57Z 194K followers, [----] engagements "Distributed Inference 101: Disaggregated Serving with NVIDIA Dynamo Disaggregated serving enables developers to serve large language models (LLMs) with maximum throughput given their latency requirements by separating prefill and decode phases of the LLM and executing them independently on GPUs. In this video we demonstrate: How to harness the power of disaggregated serving Introduce more advanced features offered by NVIDIA Dynamo such as auto-discovery and conditional disaggregation. Explore and Download https://github.com/ai-dynamo/dynamo #Inference #datacenter #AI #disaggregatedserving" [YouTube Link](https://youtube.com/watch?v=_UDJy_5_Czw) 2025-03-18T18:49Z 194K followers, [----] engagements "GTC [----] Keynote Teaser NVIDIA CEO Jensen Huang's keynote is a must-see for anyone who wants to stay up-to-date on the latest discoveries in AI. Tune in to #GTC23 to discover the #AI breakthroughs that are shaping our future--online on March [--] [--] a.m. PDT Learn more: https://www.nvidia.com/gtc/keynote/ncid=so-othe-310624" [YouTube Link](https://youtube.com/watch?v=a0soRIiqT1Q) 2023-03-14T22:26Z 194K followers, [----] engagements "Transforming AI: GTC Panel Hosted by Jensen Huang ✨Don't miss the insights from all [--] authors of the groundbreaking paper "Attention is All You Need" that introduced transformers to the world. 👀 Hear from the experts on the technology that helped build every major #AI model. Join us at #GTC24 ➡ https://nvda.ws/3uS5mps" [YouTube Link](https://youtube.com/watch?v=a981PymTXuw) 2024-02-29T21:07Z 193K followers, [---] engagements "Fine-Tuning and Customizing LLMs with NVIDIA RTX Virtual Workstation Discover how to create AI projects with NVIDIA RTX Virtual Workstation and easily fine-tune customize and export large language models (LLMs) on a virtual desktop in minutes. This video covers the process of setting up the virtual environment with NVIDIA RTX Virtual Workstation and building your projects on NVIDIA AI Workbench to successfully customize your LLMs. 00:00 Introduction 0:58 Setup 1:48 Cloning and Building the Project 📝 Learn more about NVIDIA RTX Virtual Workstation: https://nvda.ws/437pnam 📝 Check out our" [YouTube Link](https://youtube.com/watch?v=aHIeWAhF7Ms) 2025-02-21T01:23Z 179K followers, [----] engagements "Whats ahead in the next year of AI innovation 🧭🤖 We caught up with Stanford Professor and distinguished scientist Yejin Choi at #NeurIPS2025 to hear her [----] predictions" [YouTube Link](https://youtube.com/watch?v=aix-tK0IHeQ) 2025-12-05T23:52Z 195K followers, [----] engagements "Accelerating Feature Engineering with NVIDIA cuDF and cuML In this short tutorial Chris Deotte Kaggle Grandmaster of NVIDIA walks you through how GPU-accelerated feature engineering can significantly speed up data processing and improve model performance. You'll learn how to: ✔ Use NVIDIA cuDF & cuML to accelerate data processing ✔ Apply cuML target encoding to enhance predictions ✔ Optimize your XGBoost model for higher AUC scores Join us at NVIDIA GTC for expert talks and hands-on workshops on cutting-edge AI & ML advancements https://nvda.ws/43RFj0C ➡ Claim a free hands-on Data Science" [YouTube Link](https://youtube.com/watch?v=b3mv4_1Wk6c) 2025-03-14T23:14Z 188K followers, [----] engagements "Getting Started with ChatRTX in Three Steps Get started with Chat RTX today. This step-by-step tutorial walks you through downloading installing launching and using ChatRTX. Create a personalized chatbot with the Chat with RTX tech demo. Accelerated by TensorRT-LLM and Tensor Cores you can quickly get tailored info from your files and content. Try it now. Appendix A - Short Story: https://drive.google.com/file/d/1NZQ3D37nM1FN794Die6xjaKeJp5hxJ4A/viewusp=sharing Available to download now for GeForce RTX [--] and [--] Series owners: https://www.nvidia.com/en-us/ai-on-rtx/chatrtx/ Learn more about" [YouTube Link](https://youtube.com/watch?v=bE-jz_h0YTU) 2024-05-23T11:27Z 192K followers, [----] engagements "GPU Accelerated Polars Learn how Polars Lazy Evaland NVIDIA GPU acceleration can accelerate your Data Science. These two tools create a powerful backend that builds an optimized query plan and parallelizes execution on NVIDIA GPUs. Get started in Google Colab or locally. #datascience #polars #gpu #python" [YouTube Link](https://youtube.com/watch?v=bhSYfADZDBk) 2025-04-25T19:27Z 193K followers, [----] engagements "Office Hours - Nemotron Have questions on NVIDIA's Nemotron models Want to provide your thoughts on the models directly to NVIDIA RSVP to attend office hours and drop any questions you have on our Discord channel https://discord.com/channels/1019361803752456192/1407781691698708682 or in the comments below" [YouTube Link](https://youtube.com/watch?v=c1Fbta1fSdw) 2025-09-05T00:34Z 195K followers, [----] engagements "AI Physics Deep Dive Industrial Engineering Live Stream Series Interested in AI Physics Join our "AI Physics Deep Dive" livestream to learn about the latest ML architectures for computational engineering workloads and for a hands-on tour of NVIDIA PhysicsNeMo including practical recipes of how to train and test the latest in AI Physics models. Well cover step by step: - A live demonstration of building and running NVIDIA PhysicsNeMo platform for industrial engineering problems such as CFDstructural analysis and more. - Walkthroughs of the pros and cons of using graph neural networks neural" [YouTube Link](https://youtube.com/watch?v=c4FjMkGE0eo) 2025-10-30T12:55Z 193K followers, [----] engagements "Get Started with cuTile Python The release of NVIDIA CUDA [----] introduces tile-based programming for GPUs making it one of the most fundamental additions to GPU programming since CUDA was invented. Learn how you can write GPU tile kernels that allows you to write your algorithm at a higher level than a single instruction multiple thread (SIMT) model and the compiler and runtime handle the partitioning of work onto threads under the covers. Resources and Links: 🔗 cuTile Python GitHub Repository: https://github.com/NVIDIA/cutile-python 📖 Official cuTile Python Documentation:" [YouTube Link](https://youtube.com/watch?v=cNDbqFaoQ9k) 2025-12-04T22:23Z 196K followers, [----] engagements "NVIDIA DGX Station: Desktop Tour Watch this short video to see the highlights of the DGX OS Desktop environment. https://nvda.ws/2V7zA02" [YouTube Link](https://youtube.com/watch?v=dLK2wuIKjPw) 2019-03-28T18:59Z 193K followers, 12.3K engagements "Why Is NVIDIA AI-Q the Top-Rated Open Portable AI Agent for Deep Research NVIDIA AI-Q is now #1 among open and portable AI agents on the Deep Research Bench leaderboard achieving a best-in-class score of [-----]. The portability of AI-Q enables organizations to build agents that operate anywheredata center or cloud. Agents that operate locally within enterprise data centers can reduce latency and improve security. Open and built with models like NVIDIA Llama Nemotron the AI-Q blueprint is completely customizable enabling organizations to adapt the deep research for their unique use cases. AI-Q" [YouTube Link](https://youtube.com/watch?v=dd_pJchCxTg) 2025-08-04T16:59Z 195K followers, [----] engagements "Course Introduction: How to Build a RAG Agent Build smarter RAG systems that reason adapt and retrieve information autonomously. This course takes you from traditional RAG to agentic RAG AI agents that go beyond simple retrieval to actively reason through complex information tasks. Learn the architecture build the pipeline and deploy your own RAG agent using NVIDIA tools. What you'll learn in the full module: How to Build RAG Agent https://developer.nvidia.com/topics/how-to-build-agentic-ai-rag Key differences between traditional and agentic RAG systems How to architect a complete RAG" [YouTube Link](https://youtube.com/watch?v=e7Io9dr_WhI) 2025-10-27T02:53Z 193K followers, [----] engagements "Train AI Agents for CLI Tasks using Synthetic Data & Reinforcement Learning Nemotron Labs What if your computer-use agent could learn a new command-line tooloperating it safely without writing files or free-typing shell commands With NVIDIA Nemotron open models you can quickly train specialized agents for any CLI using synthetic data and reinforcement learningno usage logs required. Curious how it can be adapted for your own proprietary CLI environment Join us live for a developer-focused livestream. In this interactive livestream well cover: - A live demo: Generating synthetic training data" [YouTube Link](https://youtube.com/watch?v=ekVtMFoOU-E) 2025-11-22T04:10Z 194K followers, [--] engagements "Getting started on NVIDIA-Powered Data Science Workstations Walk through getting started on NVIDIA-Powered Data Science Workstations powerful systems featuring pre-installed CUDA-X AI software libraries and NVIDIA Quadro RTX [----] GPUs. See a demo on how these systems unlock new levels of performance and productivity for data scientists. Learn more about RAPIDS: https://rapids.ai Learn more about Data Science Workstations: https://nvidia.com/data-science-workstation" [YouTube Link](https://youtube.com/watch?v=enN9F_iNVLw) 2019-07-01T22:15Z 194K followers, 10K engagements "What is Word Error Rate (WER) and how do I properly calculate it to benchmark ASR models Word Error Rateor WERmeasures how many words a speech-to-text system gets wrong compared to a human transcript. NVIDIAs open source automatic speech recognition (ASR) models Canary-Qwen-2.5B and Parakeet-TDT-0.6B-V2 which reflect the openness philosophy of Nemotron with open datasets weights and recipes hold top spots on the new ArtificialAnalysis (AA) ASR leaderboard for record WER. 🏆 Leaderboard ➡ https://artificialanalysis.ai/speech-to-text 📥 Canary Qwen 2.5B ➡" [YouTube Link](https://youtube.com/watch?v=eqK0-ywjpTw) 2025-09-25T18:13Z 190K followers, [----] engagements "Dynamo KVBM - Managing Memory at Scale Got questions about KV cache management in your LLM deployment Join us for a session on Dynamo's KV Block Manager (KVBM)- a system that decouples memory management from run-time logic to enable memory-efficient high-throughput LLM systems. Well dive into architecture integration with LLM inference runtimes integration with NIXL and our roadmap. Come ready to chat drop your questions in the comments and learn more from the engineers building KVBM. Be part of the journey and contribute on github: https://bit.ly/dynamoKVBM" [YouTube Link](https://youtube.com/watch?v=f5O3BrGwZVE) 2025-10-28T01:05Z 190K followers, [--] engagements "NVIDIA AI Tech Workshop at NeurIPS Expo [----] - Session 5: Applied Deep Learning This session from the NVIDIA AI Tech Workshop at NeurIPS Expo [----] highlighted by NVIDIA Research includes: - Building Speech Recognition with Synthetic Speech - Optimization of training neural collaborative filtering systems Presentation slides will be uploaded soon for reference" [YouTube Link](https://youtube.com/watch?v=fU_PV4HSCSQ) 2018-12-05T19:30Z 189K followers, [----] engagements "Deploy and Scale AI Workloads with NVIDIA Run:ai on Azure Kubernetes Service (AKS) NVIDIA Run:ai on Azure Kubernetes Service empowers organizations to unlock fast scalable and efficient AI infrastructure for large language models and generative AI applications. In this demo you will discover how NVIDIA Run:ai on Azure Kubernetes Service transforms deployment with its intelligent orchestration of GPU resources enabling real-time training and inference for enterprise workloads. The video highlights the seamless integration between NVIDIA Run:ai and Microsoft Azure making AI infrastructure" [YouTube Link](https://youtube.com/watch?v=fgF3c_ZY5yQ) 2025-10-30T16:27Z 190K followers, [---] engagements "Ray Tracing Essentials Part 1: Basics of Ray Tracing In Part 1: Basics of Ray Tracing NVIDIA's Eric Haines runs through the basics of ray and path tracing. To begin he defines a ray and notes how it is useful for different operations in computer graphics. Rays can be cast to test for shadows for example. In [----] Whitted introduced the idea of recursive ray casting known as ray tracing. Cook and others in [----] explored how bursts of rays could create more elaborate effects such as soft shadows and glossy reflections. Kajiya introduced the Rendering Equation in [----] showing how it could be" [YouTube Link](https://youtube.com/watch?v=gBPNO6ruevk) 2019-12-20T01:56Z 195K followers, 142K engagements "Transforming AI NVIDIA GTC [----] Panel Hosted by Jensen Huang The Transforming AI panel from GTC [----] features the authors of Attention Is All You Need" the groundbreaking paper that introduced the transformer neural network architecture. Transformers have since dominated all areas of AI revolutionizing the industry. The discussion covers the following topics: The development and impact of the Transformer model. The evolution of computing and its democratization. The future of AI technology and its potential applications. The role of accelerated computing. The potential for AI to revolutionize" [YouTube Link](https://youtube.com/watch?v=hC_qASRcBhU) 2024-04-08T23:30Z 194K followers, 117.6K engagements "NVAITC Webinar: Introduction to Convolutional Neural Networks Understand and discuss implementations of common convolutional and residual neural networks. Learn more: https://developer.nvidia.com/deep-learning-examples" [YouTube Link](https://youtube.com/watch?v=hGnpGi92J84) 2020-11-30T17:07Z 189K followers, [----] engagements "Train a Reasoning-Capable LLM in One Weekend Have you ever wanted to build your own reasoning models such as NVIDIA Nemotron but thought it was too complicated or required massive resources Think again. With NVIDIAs powerful tools and datasets you can train a small effective reasoning model in about [--] hours all on a single GPU. Explore a simple and computationally efficient recipe for training reasoning models with small amounts of training data curated from the Llama Nemotron Post-Training Dataset. Learn the strategy based on LoRA adapter training and the key considerations and" [YouTube Link](https://youtube.com/watch?v=hMGikmMFLAU) 2025-07-30T16:14Z 191K followers, 16.8K engagements "Implementing Real-time Vision AI Apps Using NVIDIA DeepStream SDK Learn how companies around the world are modernizing their existing infrastructure with IoT sensors such as cameras to extract rich insights. Whether its a patient fall detection monitoring system in a hospital understanding how traffic flows through a city or a retailer looking to understand customer purchasing sentiments and behavior real-time video analysis plays a pivotal role. Learn how various companies are building high-performance apps using DeepStream SDK for real-time video and image understanding. We'll show you the" [YouTube Link](https://youtube.com/watch?v=hSegX0P170s) 2021-01-16T16:30Z 190K followers, 30.4K engagements "NVIDIA Jetson Partner Stories: Jibo Makes Its Robot More Social with the Jetson Platform The Jetson TK1 has been an accelerant to the design and development process of the Jibo the world's first consumer social robot for the home. The increased processing power of the Jetson TX1 will help the creators of Jibo to do some very special things with vision processing beyond simple facial recognition such as the ability to leverage more sophisticated object detection leading to a faster and more responsive robot for consumers" [YouTube Link](https://youtube.com/watch?v=i9rrVFd5zGM) 2015-11-11T17:03Z 189K followers, 15.1K engagements "Quansight and RAPIDS Push Data Science Performance Travis Oliphant CEO of Quansight and early contributor to RAPIDS explains the work being done to integrate GPUs with data" [YouTube Link](https://youtube.com/watch?v=iHM4RyjeV-U) 2018-11-07T23:03Z 188K followers, [----] engagements "Run NVIDIA GPU Cloud Containers in Singularity This video covers (1) Installing and configuring Singularity (2) Pulling and saving NGC containers and (3) Running NGC containers in an HPC environment. Learn more: https://nvda.ws/2QXzzKm" [YouTube Link](https://youtube.com/watch?v=iOLVqqHQsBU) 2018-10-18T17:15Z 191K followers, [----] engagements "GTC Silicon Valley Preview: Media & Entertainment NVIDIAs GPU Technology Conference (GTC) is the premier AI and deep learning conference providing training insights and direct access to media and entertainment experts. Here's a preview of the some of the Media & Entertainment sessions you can attend. https://nvda.ws/2CWq34u" [YouTube Link](https://youtube.com/watch?v=iYKoDVyOrEE) 2019-01-30T21:56Z 188K followers, [----] engagements "From a Robot's Perspective: Teaching Robots to Grasp We are teaching our robot arm to grasp commonly used objects with diverse appearances. We trained our models purely in simulation and they now achieve 88% success rate in the real world without any extra steps. https://arxiv.org/pdf/1905.10520.pdf" [YouTube Link](https://youtube.com/watch?v=jypErPo47IA) 2019-08-28T20:23Z 162K followers, [----] engagements "How to Autoscale Efficiently with Disaggregated Serving How can you use GPUs efficiently with disaggregated serving This video explains how NVIDIA Dynamo and its open-source planner help you serve models at large scale while meeting your service level objectives (SLOs) like time to first token and inter-token latency. Learn how prefill and decode steps are split across dedicated GPUs and why scaling shouldnt be reactionary. With time series forecasting NVIDIA Dynamo automatically scales the number of prefill or decode machines based on workload demands whether youre summarizing long documents" [YouTube Link](https://youtube.com/watch?v=kPGaxHiV99U) 2025-08-12T17:01Z 192K followers, [----] engagements "Real-Time Digital Twin - Deep Dive Industrial Engineering Livestream Series 📱 Join our Real-Time Digital Twin (RTDT) Deep Dive livestream to learn about how to build RTDTs using Omniverse APIs kit-CAE extension and NVIDIA PhysicsNeMo. This session includes live walk-through of the code base and examples for automotive aerospace and data-center design. Well cover step by step: A live demonstration of building and using the NVIDIA Omniverse kit-CAE extension for industrial engineering problems integrating data from CFD structural analysis and more. Walkthroughs of the different data importers" [YouTube Link](https://youtube.com/watch?v=kZG8dkG6hnI) 2025-11-19T03:48Z 194K followers, [--] engagements "XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies New #NVIDIAResearch Paper: XCube (X3): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies by Xuanchi Ren Jiahui Huang Xiaohui Zeng Ken Museth Sanja Fidler Francis Williams Abstract: We present X3 (pronounced XCube) a novel generative model for high-resolution sparse 3D voxel grids with arbitrary attributes. Our model can generate millions of voxels with a finest effective resolution of up to [-----] in a feed-forward fashion without time-consuming test-time optimization. To achieve this we employ a" [YouTube Link](https://youtube.com/watch?v=kpmCQp9mabo) 2023-12-08T16:46Z 189K followers, [----] engagements "Simplicits: Mesh-Free Geometry-Agnostic Elastic Simulation NVIDIA Research The proliferation of 3D representations from explicit meshes to implicit neural fields and more motivates the need for simulators agnostic to representation. We present a data- mesh- and grid-free solution for elastic simulation for any object in any geometric representation undergoing large nonlinear deformations. We note that every standard geometric representation can be reduced to an occupancy function queried at any point in space and we define a simulator atop this common interface. For each object we fit a small" [YouTube Link](https://youtube.com/watch?v=kxEpXkSv2cM) 2024-07-27T17:00Z 192K followers, [----] engagements "NVIDIA Jetson Partner Stories: Fellow Robots -- LoweBot NAVii Fellow Robots CTO Thavidu Ranatunga presents LoweBot a Jetson TX1-powered NAVii robot designed to guide Lowes Hardware customers to their item of choice via voice recognition or an onboard touchscreen display. LoweBot navigates the aisles autonomously and in an often Wi-Fi denied environment using cameras and odometry alone to find its destination. During off-hours LoweBot helps store employees by tracking depleted or missing inventory with a high-resolution camera and LED light source recognizing items using a Deep Learning-based" [YouTube Link](https://youtube.com/watch?v=l7NPmJP462M) 2017-03-08T02:09Z 193K followers, 35.8K engagements "Accelerated Machine Learning with XGBoost on NVIDIA GPUs Accelerated Data Science Series Learn how to get a 25x performance increase of XGBoost training inference and feature engineering with pandasall accelerated with RAPIDS running in Google Colab. In this demo GPUs are used to accelerate workflows using real-world taxi fare data build baseline models and incrementally improve model accuracy with advanced feature engineering. All of this is done directly in Google Colab where RAPIDS and XGBoost are pre-installed for seamless access. 📗 Try this yourself on Google Colab:" [YouTube Link](https://youtube.com/watch?v=lhraJRaDkOA) 2025-02-21T20:47Z 179K followers, [----] engagements "Deep Reinforcement Learning in Robotics with NVIDIA Jetson Discover the creation of autonomous reinforcement learning agents for robotics in this NVIDIA Jetson webinar. Learn about modern approaches in deep reinforcement learning for implementing flexible tasks and behaviors like pick-and-place and path planning in robots. Learn more at https://developer.nvidia.com/embedded/twodaystoademo#advanced-deep_reinforcement Buy the latest Jetson products at https://developer.nvidia.com/buy-jetson" [YouTube Link](https://youtube.com/watch?v=luzOblzznIc) 2019-06-11T17:08Z 192K followers, 21.7K engagements "Get Started with NVIDIA IGX Orin Developer Kit for Scalable Edge AI Solutions Learn how to quickly configure your NVIDIA IGX Orin Developer Kit an industrial-grade platform for developing and deploying real-time edge AI inference applications. Watch this video for an overview of the system and the different ways you can use it. Youll also learn how to: ⚬ Unbox and power up your system ⚬ Set up your system ⚬ Install the NVIDIA Holoscan SDK ⚬ Run your first Holoscan application Discover more about NVIDIA IGX Orin: https://www.nvidia.com/en-us/edge-computing/products/igx/ Read the NVIDIA IGX" [YouTube Link](https://youtube.com/watch?v=mKN5u_eZQII) 2023-10-30T17:39Z 194K followers, 10.1K engagements "Google's Gemma2 SLM on NVIDIA Jetson Orin Nano: The Future of Conversational Edge AI Dive into Google's Gemma2 SLM on Jetson Orin Nano with these easy beginner-friendly demoseven if you have ZERO experience with Jetson In this video Ill walk you through simple steps to bring powerful conversational AI to life on a small efficient device. From setup to real-time interaction see how easy it is to get started with advanced AI at the edge. Heres what youll learn: - Step-by-step setup for Gemma2 SLM on Jetson Orin Nano perfect for beginners. - Real-time conversational AI demos including" [YouTube Link](https://youtube.com/watch?v=mgUrthfw3ys) 2024-10-28T22:09Z 188K followers, 14.6K engagements "DGX Spark Live: Installation & First Run Guide for Robotics Developers 📱 This is the essential live session for robotics developers ready to leverage NVIDIA Isaac Sim on the powerful DGX Spark platform. We'll guide you through the initial steps to get your high-fidelity simulation environment up and running on the aarch64 architecture. What You'll Learn & Do: Installation Walkthrough: Follow along with the official documentation process including the specific details for the DGX Spark where the ARM build is generated by default. Launch & Verification: We'll show you how to properly launch" [YouTube Link](https://youtube.com/watch?v=msGWby4ZBmU) 2025-12-09T00:35Z 195K followers, [--] engagements "How to Build an AI Agent: Course Introduction Learn to build autonomous AI agents that plan reason and solve complex problems. This introduction covers Agentic AI Foundations from core concepts to building your first working agent. We'll explore what makes AI systems "agentic" real-world applications and design principles that matter. What you'll learn in the full module: https://developer.nvidia.com/topics/how-to-build-an-ai-agent What Agentic AI is and how it differs from single-shot generation How agents plan reason and tackle multi-step problems autonomously Real-world examples across" [YouTube Link](https://youtube.com/watch?v=nr-Xu_ZRNKY) 2025-10-27T07:15Z 193K followers, [----] engagements "Turn Any PC into a SMPTE ST [----] Compliant Source with NVIDIA RivermaxDisplay Simplify your transition to SMPTE ST [----] with NVIDIA RivermaxDisplay. See how this software application turns any PC into a SMPTE ST [----] compliant source with NMOS support. Try NVIDIA RivermaxDisplay Today: https://nvda.ws/4aFxAnE Join the NVIDIA Developer Program: https://nvda.ws/3OhiXfl Read and subscribe to the NVIDIA Technical Blog: https://nvda.ws/3XHae9F #NVIDIARivermaxDisplay #SMPTEST2110 #NVIDIA" [YouTube Link](https://youtube.com/watch?v=pD1d1de231o) 2024-01-03T18:18Z 194K followers, [----] engagements "Digital Humans and AI Design with NVIDIA NIM on RTX PCs Microsoft Build [----] Discover how to create powerful agentic workflows for RTX AI PCsquickly efficiently and backed by NVIDIA NIM microservices. With NVIDIA NIM and RTX PCs and Workstations you can quickly build advanced AI workflows that are fast local and leverage the AI model innovations. We'll showcase and guide developers on the use of NVIDIA NIM microservices to kickstart AI experimentation. Learn more about AI on NVIDIA RTX PCs: https://developer.nvidia.com/ai-apps-for-rtx-pcs Access AI Models for RTX AI PCs:" [YouTube Link](https://youtube.com/watch?v=pJ12IMuWlAs) 2025-06-03T17:16Z 192K followers, [----] engagements "Training and Inferencing with NVIDIA AI Enterprise on VMware vSphere NVIDIA AI Enterprise is a comprehensive suite of software that's optimized certified and supported on VMware vSphere [--] and industry-leading servers. This end-to-end platform is designed to provide the easiest solution for enterprises to enable AI in their core data center. In this demo we'll show some examples of the features and capabilities of this stack as well as some example workloads such as multi-node AI training as well as multiple inferencing workloads. Learn more about NVIDIA AI Enterprise here:" [YouTube Link](https://youtube.com/watch?v=quWGKXAO8m8) 2021-09-15T18:57Z 194K followers, [----] engagements "NVIDIA Developer How To Series: Accelerating Recommendation Systems with TensorRT NVIDIA TensorRT is a high-performance deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications. You can import trained models from every deep learning framework into TensorRT and easily create highly efficient inference engines that can be incorporated into larger applications and services. This video demonstrates the steps for using NVIDIA TensorRT to optimize a Multilayer Perceptron based Recommender System that is trained on the" [YouTube Link](https://youtube.com/watch?v=r4KG3dehF48) 2018-08-03T22:56Z 188K followers, [----] engagements "NVIDIA Announces Aerial A Software-defined Stack for Telco Systems At Mobile World Congress Los Angeles NVIDIA unveiled Aerial a set of SDKs that enables GPU-accelerated software defined 5G wireless radio access network (RAN). Today NVIDIA Aerial provides two critical new SDKs: CUDA Virtual Network Functions (cuVNF) and CUDA Baseband (cuBB). These SDKs simplify building highly programmable and scalable software-defined 5G RANs using commercial off-the-shelf (COTS) servers with NVIDIA GPUs. https://news.developer.nvidia.com/cubb-software-defined-stack-for-telco/" [YouTube Link](https://youtube.com/watch?v=rObTbAijx1M) 2019-10-21T23:49Z 194K followers, [----] engagements "Unified Whole-Body Control for Humanoids with MaskedMimic from NVIDIA Project GR00T MaskedMimic is part of NVIDIA Project GR00T for enabling development of generalized humanoid robots. This research work contributes to GR00T-Control a suite of advanced motion planning and control libraries models policies and reference workflows for whole-body control. MaskedMimic is a single unified controller for physically simulated humanoids. Our system is capable of generating a wide range of motions across diverse terrains from intuitive user-defined intents. In this work we show several applications" [YouTube Link](https://youtube.com/watch?v=rePVn1xDWlo) 2024-12-04T00:31Z 193K followers, [----] engagements "SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation Physically-simulated models for human motion can generate high-quality responsive character animations often in real-time. Natural language serves as a flexible interface for controlling these models allowing expert and non-expert users to quickly create and edit their animations. Many recent physics-based animation methods including those that use text interfaces train control policies using reinforcement learning (RL). However scaling these methods beyond several hundred motions has remained" [YouTube Link](https://youtube.com/watch?v=rfOiBqnL_OQ) 2024-07-28T21:00Z 196K followers, [----] engagements "Accelerate Your End-to-End AI Data Analytics and HPC Workflows with the NVIDIA NGC Catalog The NGC catalog is a hub of GPU-optimized AI high-performance computing (HPC) and data analytics software that simplifies and accelerates end-to-end workflows. Explore NGC: https://nvda.ws/3liOEYA With enterprise-grade containers pre-trained AI models and industry-specific SDKs that can be deployed on premises in the cloud or at the edge enterprises can build best-in-class solutions and deliver business value faster than ever before. Learn More: https://nvda.ws/3dpy6JC Contact Us:" [YouTube Link](https://youtube.com/watch?v=rj7pRJ9VAO4) 2021-04-14T17:30Z 194K followers, 17.9K engagements "Set Up a Data Flywheel to Self-Optimize AI Models and Agents The NVIDIA Data Flywheel Blueprint provides a systematic automated solution to refine and redeploy optimized models that maintain accuracy targets while lowering resource demands. This blueprint establishes a self-reinforcing data flywheel using production traffic logs and institutional knowledge to continuously improve model efficiency and accuracy. 00:00 - 01:20 Introduction and System Overview 01:21 - 02:10 Architecture and Orchestrator 02:11 - 03:00 Model Evaluation and Cost Optimization 03:01 - 04:00 Deployment and Cloud Setup" [YouTube Link](https://youtube.com/watch?v=rjLUm_7CDkM) 2025-07-23T16:07Z 191K followers, [---] engagements "How to Deploy Hugging Face Models Using a Single NVIDIA NIM This video walks you through how to deploy different LLMs from Hugging Face with a single LLM-agnostic NVIDIA NIM container. NIM microservices are your go-to for deploying the latest AI models from NVIDIA and the community quickly and reliably. They leverage NVIDIA TensorRT-LLM to accelerate and optimize inference alongside popular community backends like vLLM and SGLang to seamlessly deploy a massive range of community LLMs. Get ready for high-performance inference on NVIDIA GPUs with rapid reliable deployment for a broad range of" [YouTube Link](https://youtube.com/watch?v=s-5el_YillY) 2025-07-01T18:32Z 193K followers, [----] engagements "NVIDIA DGX Station: Unboxing Watch this short video to see how easy it is to unbox a NVIDIA DGX Station https://nvda.ws/2V7zA02" [YouTube Link](https://youtube.com/watch?v=sW-zs6cCHs8) 2019-03-28T18:57Z 195K followers, 11.7K engagements "NVIDIA Networking: Learn the Basics of LinkX Cables and Transceivers The NVIDIA LinkX product lineup encompasses a wide range of interconnect solutions including cables and transceivers all aimed at maximizing the efficiency of data center operations. In this video we'll take a look at the various types of LinkX solutions on offer and highlight their features and abilities. To learn more about NVIDIA Data Center Networking for Administrators: https://academy.nvidia.com/en/training-by-topic/training_by_topic=10" [YouTube Link](https://youtube.com/watch?v=si7a7BcJzOc) 2023-08-14T10:22Z 190K followers, [----] engagements "Create a RAG Chatbot Using NVIDIA AI Workbench In this video youll learn how to create your own retrieval-augmented generation (RAG) chatbot using NVIDIA AI Workbench. With this unified easy-to-use developer toolkit you can create test and customize pretrained AI models on NVIDIA RTX-powered AI workstations. Start your AI projects locally on workstations and scale them effortlessly to any data center or cloud with just a few clicks. Start your AI projects locally on workstations and scale them effortlessly to any data center or cloud with just a few clicks. Learn more about NVIDIA AI" [YouTube Link](https://youtube.com/watch?v=usnXmiBuUjc) 2024-10-10T17:24Z 191K followers, [----] engagements "Jetson AI Fundamentals - S1E1 - First Time Setup with JetPack Learn to set up the NVIDIA Jetson Nano Developer Kit for the first time with JetPack. This enables you to load Docker container applications for projects in Jetson AI Fundamentals. 00:00:00 - Introduction - Setting up Jetpack with Jetson Nano 00:00:33 - Jetson Nano Developer Kit 00:01:56 - Step 1: Flashing OS onto an SD card with a computer 00:08:18 - Step 2: Configure OS on Jetson Nano 00:10:53 - Setting SWAP to 4GB 00:13:44 - Conclusion Getting Started with AI on Jetson Nano - https://nvidia.com/dli Jetson AI Fundamentals -" [YouTube Link](https://youtube.com/watch?v=uvU8AXY1170) 2020-10-13T20:44Z 189K followers, 266.9K engagements "NVIDIA GPU-accelerated Path Rendering - SVG Part [--] Mark Kilgard gives a short demonstration of NVIDIA's GPU-Accelerated Path Rendering this is part three of a three part series on the different ways to render SVG samples using the new NVIDIA GPU-Accelerated Path Rendering SDK Read more at http://developer.nvidia.com/nv-path-rendering" [YouTube Link](https://youtube.com/watch?v=vE0ZzqK1_dE) 2011-08-26T04:03Z 193K followers, [----] engagements "How Accelerated Compute is Driving Scientific Discovery For [--] years weve been building CUDA-X libraries to accelerate discovery across scientific disciplines. Today with more than [---] libraries and frameworks CUDA-X is the foundation for some of the worlds fastest breakthroughs. In this video we demonstrate how CUDA-X is reshaping science today and creating the innovations needed to power the latest scientific discoveries. Join us at Supercomputing [----] to explore our latest contributions to scientific discovery. Check out the links below to learn more Life Science: Driving Toward" [YouTube Link](https://youtube.com/watch?v=vNhbqYtsH18) 2025-11-10T21:56Z 195K followers, [----] engagements "Reinvent Video Conferencing Content Creation & Streaming with AI Using NVIDIA Maxine NVIDIA Maxine is a GPU-accelerated SDK with state-of-the-art AI features for developers to build virtual collaboration and content creation applications such as video conferencing and live streaming. Developers from video conferencing content creation and streaming providers such as Notch Headroom Be.Live and Touchcast are using the Maxine SDK to create real-time video-based experiences easily deployed to PCs data centers or in the cloud. Learn more about NVIDIA Maxine: https://nvda.ws/3cSIRVC" [YouTube Link](https://youtube.com/watch?v=vh-noM8p8Ss) 2021-04-14T17:29Z 195K followers, [----] engagements "DGX Spark: Powering EPRIs AI Research 📱 Join EPRI a nonprofit research organization dedicated to advancing the science that powers a reliable affordable and resilient energy future. Discover how EPRI is innovating with NVIDIA DGX Spark to run advanced openweight models such as gptoss120b and Qwen3Embedding8B to drive a secure AI-powered document research assistant. Get started with DGX Spark: https://nvda.ws/4o2rDHn" [YouTube Link](https://youtube.com/watch?v=wvVNx07fQ2U) 2025-11-11T01:46Z 192K followers, [--] engagements "From Data to Deployment: Building European AI at Scale Improved audio version available here: https://youtu.be/KwSwxb2GBOM Moderated by tech futurist and AI expert Sarah Rojewsky join us live with technical experts from DeepL and NVIDIA as we explore the journey of building sovereign AI capabilities in Europe. Get a behind-the-scenes look at the technical and operational challenges of large-scale AI training and inference and discover the steps involved in developing robust AI products from choosing the right technology to model deployment. Our moderators will be on hand to answer questions" [YouTube Link](https://youtube.com/watch?v=x2hLfuGp7Fw) 2025-10-25T01:30Z 193K followers, [----] engagements "What is the most underrated research area in AI world foundation models 🤔 Ming-Yu Liu VP of Research at NVIDIA responds with insights into how it wont be humans who will benefit most from whats coming in [----]. Watch his key takeaways from #NeurIPS2025 👀" [YouTube Link](https://youtube.com/watch?v=xECboO8BxAA) 2025-12-05T15:01Z 195K followers, [----] engagements "Cinematic Climate Visualization with NVIDIA Omniverse #Climate simulations produce large amounts of inherently 3D data and yet the analysis is often limited to 2D projections. In addition to climate #scientists climate data also needs to be accessible by laypersons. Therefore intuitive photorealistic renderings are desirable. The NVIDIA Omniverse platform enables the fusion of large-scale scientific data with cinematic #rendering capabilities allowing for interactive exploration of complex climate phenomena. In this demo we'll show the power of Omniverse to visualize high-resolution climate" [YouTube Link](https://youtube.com/watch?v=xJtKd2bDS3M) 2020-11-11T19:19Z 193K followers, 41.8K engagements "Train AI Agents for CLI Tasks using Synthetic Data & Reinforcement Learning Nemotron Labs 📱 What if your computer-use agent could learn a new command-line tooloperating it safely without writing files or free-typing shell commands With NVIDIA Nemotron open models you can quickly train specialized agents for any CLI using synthetic data and reinforcement learningno usage logs required. Curious how it can be adapted for your own proprietary CLI environment Join us live for a developer-focused livestream. In this interactive livestream well cover: - A live demo: Generating synthetic training" [YouTube Link](https://youtube.com/watch?v=xLv5Pg4DG_Q) 2025-11-22T04:10Z 194K followers, [--] engagements "Distributed Inference 101: Monitoring Data Center Performance and Metrics Learn the fundamentals of monitoring performance of your Dynamo deployment at scale using Grafana dashboard. 📥 Explore and download https://github.com/ai-dynamo/dynamo #Inference #datacenter #AI #GTC25 ➡ Join the NVIDIA Developer Program: https://nvda.ws/3OhiXfl ➡ Read and subscribe to the NVIDIA Technical Blog: https://nvda.ws/3XHae9F" [YouTube Link](https://youtube.com/watch?v=xoBl4PYFEHU) 2025-03-18T18:46Z 193K followers, [----] engagements "Ray Tracing Essentials Part 2: Rasterization versus Ray Tracing In Part 2: Basics of Ray Tracing NVIDIA's Eric Haines runs through the basics of rasterization and ray tracing. For decades rasterization also known as the Z-buffer has been the method of choice for rendering 3D images at interactive rates. This talk contrasts and compares it with ray tracing showing how the operations have a certain symmetry. More details about this video can be found here: http://bit.ly/nvrttalk2 You can watch the all of the videos in the series on this YouTube Playlist:" [YouTube Link](https://youtube.com/watch?v=ynCxnR1i0QY) 2020-02-27T22:06Z 192K followers, 163.1K engagements "How to Insert HTML Documents into a Multimodal Retriever Collection Using NVIDIA NIM Simplify your multimodal retrieval systems with NVIDIA NIM. This guide walks you through building a #VLM-based system with LangGraph plus #Llama models. Fast efficient and ideal for experimental pipelines. In this video you will learn how to insert a set of HTML documents into a multimodal retriever collection. 📝 Learn more about NIM: https://nvda.ws/431sEb4 📝 Find the source code in the NVIDIA Generative AI Examples repo on GitHub: https://nvda.ws/417z067 ➡ Join the NVIDIA Developer Program:" [YouTube Link](https://youtube.com/watch?v=z4g-juAaxRY) 2025-02-25T00:01Z 161K followers, [---] engagements "AI Startup Speeds Disease Research With Lab in the Loop BrainStorm Therapeutics a San Diego-based startup is accelerating the development of cures for neurological disorders using AI-powered computational drug discovery paired with lab experiments using organoids: tiny 3D bundles of brain cells created from patient-derived stem cells. This hybrid iterative method where clinical data and AI models inform one another to accelerate drug development is known as lab in the loop" [YouTube Link](https://youtube.com/watch?v=z8YWZBiHoBM) 2025-04-22T12:55Z 194K followers, [----] engagements "7 Questions with Jeremy Howard (Answer.ai fast.ai) on Open Source AI and Agents Jeremy Howard the founder of fast.ai and co-founder of Answer.ai shares his thoughts on the future of open source AI the rise of AI agents and why humans should stay at the center of innovation. Interview took place after his keynote at the PyTorch Conference [----] in San Francisco CA" [YouTube Link](https://youtube.com/watch?v=zDkHJDgefyk) 2025-10-24T21:23Z 190K followers, [---] engagements "Cosmos Cookbook Recipe: Sports Video Generation with LoRA Post Training This NVIDIA Cosmos Cookbook serves as a practical guide to the Cosmos open models offering step-by-step workflows technical recipes and concrete examples for building adapting and deploying WFMs. Todays recipe shows you how to generate and build realistic physically accurate and rule-aware sports videos with smooth player motions using LoRA post-trained on Cosmos Predict [---]. Read the full recipe 📖 https://nvidia-cosmos.github.io/cosmos-cookbook/recipes/post_training/predict2_5/sports/post_training.html Download Cosmos" [YouTube Link](https://youtube.com/watch?v=zTWjI7Z7-Q4) 2025-12-03T21:01Z 195K followers, [----] engagements "Introduction of disaggregated serving in TensorRT-LLM Learn from our experts about disaggregated serving in TRT-LLM. You will learn about the potential benefits of disaggregated serving about how to run disaggregated serving with TensorRT-LLM and about current performance for popular models" [YouTube Link](https://youtube.com/watch?v=zUb_VmKwIFA) 2025-09-18T00:11Z 190K followers, [----] engagements "Top 5: GPU-Accelerated Supercomputers & More In this weeks edition of the Developer Top [--] we revisit the top developer stories of the week. From a new GPU-accelerated supercomputer in France new AI NGC containers to cutting edge medical research. https://nvda.ws/2RRvmfS" [YouTube Link](https://youtube.com/watch?v=zYVoD2P8ZUA) 2019-01-26T00:54Z 194K followers, [----] engagements "Jetson AI Fundamentals - S1E2 - Hello Camera Get started with the camera widgets in the free DLI course "Getting Started with AI on Jetson Nano". You'll learn to securely log in to your NVIDIA Jetson Nano and launch the course from a Docker container. 00:00:00 - Introduction - Setting up Docker container and webcam for DLI course 00:00:28 - DLI course overview 00:01:04 - Getting Started with AI on Jetson Nano 00:02:55 - Headless device mode 00:08:26 - Inside the container 00:09:30 - Inside Jupyter lab environment 00:14:28 - Conclusion Getting Started with AI on Jetson Nano -" [YouTube Link](https://youtube.com/watch?v=zsjcSapzUfU) 2020-10-07T02:32Z 189K followers, 154.6K engagements Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing
@nvidiadeveloper NVIDIA Developer
NVIDIA has been releasing various tools and platforms to support AI development, including the NVIDIA NIM for deploying generative AI, NVIDIA Nemo Agent for creating AI agents, and DGX Cloud for AI computing. The company has also been highlighting its Jetson series, including the AGX Orin and Nano developer kits, for building AI-powered robots and devices. Additionally, NVIDIA has been showcasing its advancements in areas like humanoid robotics, quantum computing, and accelerated data science.
Engagements: [------] #
- [--] Week [-------] +3.90%
- [--] Month [---------] +12%
- [--] Months [---------] -17%
- [--] Year [----------] +27%
Mentions: [--] #
- [--] Week [--] -2.90%
- [--] Month [---] -9.20%
- [--] Months [---] +21%
- [--] Year [---] +235%
Followers: [-------] #
- [--] Week [-------] +0.50%
- [--] Month [-------] +1.50%
- [--] Months [-------] +11%
- [--] Year [-------] +26%
CreatorRank: [-------] #
Social Influence
Social category influence stocks 100% technology brands 100% events 1.71% finance 1.71% travel destinations 1.14% gaming 0.57% social networks 0.57% nfts 0.57% countries 0.57%
Social topic influence ai 48%, $nvda #259, how to 16%, dgx #5, build 9.71%, nvda #955, gpu #151, inference #191, llm #550, agentic 5.14%
Top accounts mentioned or mentioned by @kevinstratvert @esimstudios @nvidiacom @nvidiageforce @engineerprompt @kennygunderman @technology_now @cyberstars
Top assets mentioned NVIDIA Corp. (NVDA) Alphabet Inc Class A (GOOGL) Microsoft Corp. (MSFT) FilesCoins Power Cu (FILECOIN)
Top Social Posts
Top posts by engagements in the last [--] hours
"The Breakthrough Moment for Physical AI Powered by NVIDIA Cosmos Learn how to get more out of NVIDIA Cosmos with tips straight from the authors behind our Cosmos Cookbook recipes. Watch the livestream 👉 https://www.addevent.com/calendar/ss55fmjpm04t Explore the Cosmos Cookbook 👉 https://nvda.ws/4k7EmaN Register for the hackathon 👉 https://nvda.ws/4qP4sly #NVIDIACosmos #WorldFoundationModels #CosmosCookbook #PhysicalAI"
YouTube Link 2026-02-09T19:01Z 201K followers, [----] engagements
"Accelerating Applications with Parallel Algorithms CUDA C++ Class Part [--] Welcome to NVIDIAs Modern CUDA C++ Programming Class. You will learn how to program on the GPU using NVIDIAs latest programming tools. This series is for C++ developers who want to use the GPU effectivelywhether youre new to CUDA and want the fastest path from hello world to real acceleration or youre an experienced CUDA programmer ready to modernize your code with the latest best practices. If you already know C++ and want to write clean efficient idiomatic GPU code this course is for you. This video is part of a"
YouTube Link 2025-11-06T22:08Z 201K followers, 34.1K engagements
"Performance Analysis with NVIDIA Nsight Systems Timeline CUDA Developer Tools In this episode of the CUDA Developer Tools tutorial series Eyal Soha senior software engineer at NVIDIA introduces code performance analysis using the Timeline View in NVIDIA Nsight Systems. Basic knowledge of C++ CUDA programming is recommended. Highlights include: Explore the Nsight Systems timeline a powerful tool for analyzing GPU performance. Learn how the Timeline View helps you understand code processes and uncover optimization opportunities. Get an overview of the timeline interface and how to navigate the"
YouTube Link 2023-10-27T16:00Z 201K followers, 16.9K engagements
"CUDA 13.0New Features and Beyond NVIDIA GTC D.C. The NVIDIA CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through CUDA's libraries compilers runtimes and languagewhich means CUDA is growing as fast as its ecosystem is evolving. At this engineering-focused talk by CUDA's technical product lead you'll learn what's new and what's coming next for both CUDA and GPU computing as a whole. Speakers: Rob Armstrong CUDA Technical Product Management Lead NVIDIA Watch more: https://www.nvidia.com/en-us/on-demand/"
YouTube Link 2025-12-02T19:00Z 201K followers, [----] engagements
"Intro to NVIDIA Nsight Systems CUDA Developer Tools Join NVIDIAs Sven Middelberg for an introduction to NVIDIA Nsight Systems a tool for performance tuning NVIDIA GPU-accelerated applications. Nsight Systems provides a timeline view of your system's performance helping you identify bottlenecks and optimization opportunities. 00:00 - Introduction 2:14 - How to Trace an Application 6:34 - Using the Timeline View 8:36 - Analysis Summary Tab 8:50 - Diagnostics Summary Tab 9:07 - Conclusion Highlights include: Tracing with Nsight Systems: Walk through the tracing process including project setup"
YouTube Link 2023-09-22T15:47Z 201K followers, 22.1K engagements
"Build a Simple AI Agent with OpenAIs gpt-oss-20b Learn how to build a simple AI agent with OpenAI's new gpt-oss models (20b and 120b) with NVIDIA NIM. In this video we demonstrate how to access NVIDIA NIM for OpenAIs gpt-oss reasoning models through build.nvidia.com and start building immediately. Discover how to use the OpenAI Responses API set reasoning efforts for different query complexities and create a web search agent. Whether you want to use NVIDIA-hosted NIM endpoints or privately deploy and scale gpt-OSS NIM microservices on your infrastructure this tutorial is great for you Get"
YouTube Link 2025-08-07T21:55Z 201K followers, 21.9K engagements
"Frontiers of AI and Computing: A Conversation With Yann LeCun and Bill Dally NVIDIA GTC [----] As artificial intelligence continues to reshape the world the intersection of deep learning and high performance computing becomes increasingly crucial. This talk brings together Yann LeCun a pioneer in deep learning and the chief AI scientist at Meta and Bill Dally a leading computer architect and chief scientist at NVIDIA to explore the future of AI models hardware accelerators and the evolving computational landscape. The discussion covers: The next breakthroughs in deep learning and AI"
YouTube Link 2025-04-10T16:00Z 201K followers, 101.2K engagements
"Step-by-Step Installation of NVIDIA Virtual GPU Software on VMware vSphere Learn the entire process for getting NVIDIA Virtual GPU software running on VMware vSphere--whether youre using vSphere for Graphics/VDI workloads or AI workloads with NVIDIA AI Enterprise. NVIDIA Senior Solutions Architect Lee Bushen walks you through the following steps: - Downloading the vGPU or NVIDIA AI Enterprise software components - Server preparation for vGPU - Installing the GPU Manager on the ESXi host - Removing the GPU Manager for an vGPU software upgrade - Configuring vCenter for vGPU profiles -"
YouTube Link 2024-10-11T18:21Z 201K followers, 34.5K engagements
"#NVIDIA DGX Spark - Your Own Personal #AI Supercomputer ✅ [--] petaFLOP ✅ 128GB of coherent unified system memory ✅ ConnectX-7 Smart NIC ✅ Up to 4TB Storage ✅ 150mm L x 150mm W x 50.5mm H Reserve yours now"
YouTube Link 2025-07-01T17:42Z 201K followers, 104.2K engagements
"Jensen Huang Shows Off the New #NVIDIA DGX Spark Personal AI Computer #computex2025 #dgxspark #ai"
YouTube Link 2025-05-23T15:36Z 201K followers, 19K engagements
"DGX Spark Live: Installation & First Run Guide for Robotics Developers This is the essential live session for robotics developers ready to leverage NVIDIA Isaac Sim on the powerful DGX Spark platform. We'll guide you through the initial steps to get your high-fidelity simulation environment up and running on the aarch64 architecture. What You'll Learn & Do: Installation Walkthrough: Follow along with the official documentation process including the specific details for the DGX Spark where the ARM build is generated by default. Launch & Verification: We'll show you how to properly launch the"
YouTube Link 2025-12-09T01:03Z 201K followers, [----] engagements
"Build Reasoning Agents For Physical AI Cosmos Labs Learn how to apply Cosmos Cookbook recipes for physical AI reasoning using Cosmos Reason in this hands-on technical deep dive. In this session we explore how egocentric or first-person reasoning allows robots to understand social cues and physical laws leading to safer and more natural humanrobot interactions. We also show how fine-tuning Cosmos Reason with domain-specific data such as heavy traffic improves understanding in complex dynamic environments. Similar methods can be used to filter synthetic data and build visuallanguage agents for"
YouTube Link 2026-01-28T05:48Z 201K followers, [----] engagements
"NVIDIA DGX Spark Lights up CES [----] Show Floor One year after the debut of Project Digits DGX Spark has transformed from concept to reality and is now available from NVIDIA and OEM partners. See it in action at #CES2026 where enterprise creative and agentic AI meet the edge of innovation. #SparkSomethingBig https://www.nvidia.com/en-us/events/ces/"
YouTube Link 2026-01-15T00:00Z 201K followers, 724.2K engagements
"DGX Spark: Powering EPRIs AI Research Join EPRI a nonprofit research organization dedicated to advancing the science that powers a reliable affordable and resilient energy future. Discover how EPRI is innovating with NVIDIA DGX Spark to run advanced openweight models such as gptoss120b and Qwen3Embedding8B to drive a secure AI-powered document research assistant. Get started with DGX Spark: https://nvda.ws/4o2rDHn"
YouTube Link 2025-11-14T18:09Z 201K followers, [----] engagements
"🎁 For the Innovator Who Has Everything (Except This) . an NVIDIA DGX Spark 🎁 Compact capable and efficient -- NVIDIA DGX Spark is the perfect companion for anyone ready to build prototype or refine their AI ideas. Give the gift that doesnt just keep on giving -- it keeps innovating. ✨ Shop now to #SparkSomethingBig: https://marketplace.nvidia.com/en-us/enterprise/personal-ai-supercomputers/dgx-spark/"
YouTube Link 2025-12-09T23:44Z 201K followers, 29.4K engagements
"Turn Text Into a Knowledge Graph with 70B LLM on DGX Spark Looking to run local GraphRAG or other graph analytics use cases With DGX Spark you can prepare your local text files for graph use cases at your desk. In this demo a Llama-3.1-70B model served by Ollama runs locally in DGX Sparks 128GB of unified memory. After uploading local biomedical research papers into the LLM the model extracts nodes and relationships that are embedded into a knowledge graph. By processing entire documents at once the knowledge graph retains critical long-range relationships that make GraphRAG and other graph"
YouTube Link 2025-10-27T15:30Z 201K followers, 37.8K engagements
"Quantum Computing: Where We Are and Where Were Headed NVIDIA GTC [----] Fireside Chat NVIDIA founder and CEO Jensen Huang hosts industry leaders from Alice & Bob Atom Computing AWS D-Wave Infleqtion IonQ Microsoft Pasqal PsiQuantum Quantinuum Quantum Circuits QuEra Computing Rigetti and SEEQC to learn today's state of the art and what the future holds for useful quantum computing. These unprecedented fireside chats bring together the whole quantum computing community for an overview of this exciting technology. Panelists: Ben Bloom Founder and CEO Atom Computing Alan Baratz CEO D-Wave Krysta"
YouTube Link 2025-04-09T16:15Z 201K followers, 232.6K engagements
"Developer Insights NVIDIA DGX Spark at PyTorch Conference Hear how this developer would #SparkSomethingBig if he had one at home. We love the excitement around NVIDIA DGX Spark at #PyTorchCon and #OpenSourceAIWeek"
YouTube Link 2025-10-23T16:03Z 201K followers, 18.2K engagements
"NVIDIA MultiTalker ASR Demo: Real-Time Multi-Speaker Transcription Made Easy See how NVIDIAs MultiTalker ASR technology delivers live automatic transcription for conversations with multiple speakerseven when people talk over each other. This advanced AI system separates identifies and captions up to four voices simultaneously requiring no registration or enrollment. Built on NVIDIAs high-precision speech models MultiTalker extends beyond single-speaker ASR to capture every voice accurately and organize each streamwithout compromising clarity or speed. Watch the demo to explore latency and"
YouTube Link 2025-12-05T21:19Z 201K followers, [----] engagements
"Getting Started with the NVIDIA DGX Spark NVIDIA DGX Spark powered by the NVIDIA GB10 Grace Blackwell Superchip delivers one petaFLOP of AI performance in a power-efficient compact form factor. With the NVIDIA AI software stack preinstalled and [---] GB of memory developers can prototype fine-tune and inference the latest generation of reasoning AI models from DeepSeek Meta NVIDIA Google Qwen and others with up to [---] billion parameters locally. This video walks you through how to power on and set up the device for the first time (first boot tutorial). Learn more: build.nvidia.com/spark"
YouTube Link 2025-10-14T23:23Z 201K followers, 71.4K engagements
"Getting Started with CUDA and Parallel Programming NVIDIA GTC [----] Session Join one of CUDA's architects on a journey through the concepts of parallel programming: how it works why it works why it's not working when you think it should be working and in particular why it's different on a GPU from a CPU. We'll look at different approaches to parallel programming in CUDA and how to take advantage of the hardware it runs on. This is the next episode in what has become a series looking at the way that CUDA and the GPU work and why they work this way. This session will focus on how to think about"
YouTube Link 2025-04-10T21:28Z 201K followers, 33.4K engagements
"Building a Multi-Agent Chatbot Demo on DGX Spark Looking to build a smarter fully local chatbot with multiple AI models working together This demo shows how to create a local multi-agent chatbot on DGX Spark running LLMs and VLMs side by side. A gpt-oss-120b supervisor agent coordinates experts in coding retrieval-augmented generation and visual understanding unlocking the power of collaborative AI. Create this chatbot using the playbook here- https://build.nvidia.com/spark/multi-agent-chatbot Learn more: build.nvidia.com/spark"
YouTube Link 2025-10-10T20:06Z 201K followers, 11.5K engagements
"How to Write a CUDA Program - Parallel Programming #gtc25 #CUDA Click to watch the full session from GTC25: "How to Write a CUDA Program - The Parallel Programming Edition" https://youtu.be/GmNkYayuaA4 Join one of CUDA's architects on a journey through the concepts of parallel programming: how it works why it works why it's not working when you think it should be working and in particular why it's different on a GPU from a CPU. We'll look at different approaches to parallel programming in CUDA and how to take advantage of the hardware it runs on. This is the next episode in what has become a"
YouTube Link 2025-04-22T21:48Z 201K followers, 21.1K engagements
"Vibe Coding Demo on DGX Spark See how we build an AI app on DGX Spark that finds uplifting news and the best pet videosbecause innovation should inspire and make you smile. Using Continue.dev we demo vibe coding with agentic workflows that spark creativity and accelerate your AI journey. Learn more: build.nvidia.com/spark"
YouTube Link 2025-10-07T21:16Z 201K followers, 12.5K engagements
"Getting Started with NVIDIA Triton Inference Server Triton Inference Server is an open-source inference solution that standardizes model deployment and enables fast and scalable AI in production. Because of its many features a natural question to ask is where do I begin Watch the video to find out GitHub: https://github.com/triton-inference-server/server Documentation: https://github.com/triton-inference-server/server/tree/main/docs #ai #inference #nvidiatriton #AI #inference #nvidiatriton ai inference ai inference nvidia triton triton inference server #AI #inference #nvidiatriton ai"
YouTube Link 2022-09-07T20:28Z 201K followers, 59.7K engagements
"Building Multimodal AI RAG with LlamaIndex NVIDIA NIM and Milvus LLM App Development This video explains how to create a multimodal AI retrieval-augmented generation (RAG) application including the following steps: [--]. Document processing: Convert documents into text form using vision language models specifically NeVA 22B for general image understanding and DePlot for charts and plots. [--]. Vector database: Explore the power of GPU-accelerated Milvus for efficient storage and retrieval of your embeddings. [--]. Inference with Llama 3: Leverage the NVIDIA NIM API Llama [--] model to handle user queries"
YouTube Link 2024-09-03T21:06Z 201K followers, 24K engagements
"Getting Started with the Jetson Orin Nano Developer Kit The NVIDIA Jetson Orin Nano Developer Kit sets a new standard for creating entry-level AI-powered robots smart drones and intelligent cameras. Compact design lots of connectors and up to [--] TOPS of AI performance give you everything you need to transform your visionary concepts into reality. In this video we take you through an overview of the Jetson Orin Nano Developer Kit including its key features specifications and components along with how to power on and initiate first boot of the device. To learn more please visit our website:"
YouTube Link 2023-03-21T15:17Z 201K followers, 132.9K engagements
"Fine-Tuning 8B Parameter Model Locally Demo with NVIDIA DGX Spark What if you could fine-tune massive AI modelsup to [--] billion parametersright on your desktop With NVIDIA DGX Spark you can. Supercharge your AI creativity by improving the performance of pre-trained models through easy powerful fine-tuning. Build solutions tailored exactly to your needswithout waiting on massive data centers. Learn more: build.nvidia.com/spark"
YouTube Link 2025-08-29T17:00Z 201K followers, 17K engagements
"Deploying Generative AI in Production with NVIDIA NIM Unlock the potential of generative AI with NVIDIA NIM. This video dives into how NVIDIA NIM microservices can transform your AI deployment into a production-ready powerhouse. Learn how NIM delivers flexible scalable and secure AI applications across any platformcloud data centers or on-prem. Discover how its cloud-native architecture backed by powerful tools like NVIDIA Triton Inference Server and TensorRT-LLM simplifies the deployment and scaling of AI models ensuring efficient and cost-effective operations. Whether you're looking to"
YouTube Link 2024-05-20T16:49Z 201K followers, 311K engagements
"Getting Started with the NVIDIA Jetson AGX Orin Developer Kit The NVIDIA Jetson AGX Orin Developer Kit makes it easy to get started with Jetson Orin. Compact size lots of connectors and up to [---] TOPS of AI performance make this developer kit perfect for prototyping advanced AI-powered robots and other autonomous machines. In this video we take you through an overview of the Jetson AGX Orin Developer Kit including its key features specifications and components along with how to power on and initiate first boot of the device. For more details please check out our Getting Stated Guide:"
YouTube Link 2022-04-11T19:07Z 201K followers, 85.2K engagements
"DGX Spark: Accelerated cuPyNumeric on your Desktop Cluster NVIDIA cuPyNumeric a multi-node multi-GPU NumPy-compatible library is ideal for domain scientists and researchers to scale their Python and NumPy program to multi-GPU multinode without having to write complex parallel computing code like MPI. Well demonstrate how to use [--] DGX Spark systems as a desktop cluster to accelerate cuPyNumeric locally. Get started with DGX Spark: https://nvda.ws/4o2rDHn"
YouTube Link 2025-11-06T16:22Z 201K followers, [----] engagements
"Getting Started with the NVIDIA Jetson AGX Thor Developer Kit for Physical AI The NVIDIA Jetson AGX Thor Developer Kit is the ultimate developer resource for building the future of humanoid robotics and next-generation physical AI applications. Powered by the advanced NVIDIA Blackwell GPU and [---] GB of memory it delivers up to [----] FP4 TFLOPS of AI performanceall within a [---] W power envelope. This video walks you through how to power on and set up the device for the first time (first boot tutorial). It also covers key features specifications and components and the latest NVIDIA workflows"
YouTube Link 2025-08-25T15:01Z 201K followers, 65.6K engagements
"DGX Spark Live: Sovereign Data Solutions With GT Edge AI Join the NVIDIA AI Developer livestream featuring an early access partner GT Edge AI for a hands-on look at why they are building hybrid edge intelligence on the DGX SPARK platform building for users that need to work with sovereign data in a secure environment. Learn why GT Edge AI is building its OS on SPARK covering agent frameworks hybrid deployment patterns and how to extend AI pipelines to the edge with both cloud hosted and local models for inference while keeping data local. GT Edge AI are building their product with the Dell"
YouTube Link 2026-01-21T07:46Z 201K followers, [----] engagements
"DGX Spark Live: Your Questions Answered Vol. [--] Got questions about DGX Spark / GB10 Whether youre exploring how DGX Spark can boost your workflows or looking to get more out of your existing setup this livestream is designed to give you real answers and practical insights. Well cover key topics to help you fully understand such as benefits use case and integration. Join us live bring your questions and get the clarity you need to make the most of your DGX Spark experience"
YouTube Link 2026-02-04T00:09Z 201K followers, [----] engagements
"DGX Spark Live: Developer Q&A Got questions about DGX Spark You're not alone With any new product launch there are always a lot of details to uncover. In this special livestream we're diving deep to answer your most pressing questions about the new DGX Spark system. We'll answer your questions to give you a complete understanding of: - Why was DGX Spark created - Who was it created for - What are ideal use cases for DGX Spark Most importantly we'll help you figure out the big question: Should you have a DGX Spark on your desk Tune in ask your questions live and get the clarity you need. Learn"
YouTube Link 2025-10-24T18:39Z 201K followers, 374.2K engagements
"DGX Spark Live: Real-Time Worker Safety with OnSight AI Powered by DGX Spark and Smart Glasses Join our latest hackathon winners - Team Tabasco for a live demo of OnSight AI a real-time AI safety and compliance system built during the NVIDIA DGX Spark Hackathon on December 12th. Using smart glasses and a Vision-Language Model (VLM) running on DGX Spark OnSight AI continuously analyzes first-person video to detect safety violations such as protective equipment and lock-out-tag-out (LOTO) compliance and delivers instant audio feedback to workers. See how the team integrated iOS/Android smart"
YouTube Link 2025-12-20T07:49Z 201K followers, [----] engagements
"DGX Spark: Observing the Universe at Light Speed Tired of the perpetual 'dark sky vs. glowing screen' battle while doing visual astronomy That bright phone or tablet running SkySafari ruins your night vision and focus. We're showing off a custom AI agent running on DGX Spark that lets you have a natural voice-activated conversation with your telescope no more fumbling with apps in the dark. Join us for a deep dive and live demonstration of the full stack that allows an open-source GPT model (GPT-OSS:20b) to control a high-end mount (10micron GM2000) for astronomical objects and satellites."
YouTube Link 2025-11-01T06:30Z 201K followers, 509K engagements
"DGX Spark Live: Process Text for GraphRAG With Up to 120B LLM See NVIDIA DGX Spark in action for local GraphRAG and graph analytics. We will showcase how this demo runs entirely on DGX Sparks 128GB unified memory extracting nodes and relationships from local biomedical research papers to build a context-aware Knowledge Graph in ArangoDB. Getting Started with DGX Spark: https://nvda.ws/4o2rDHn Start building with DGX Spark: https://nvda.ws/49TaaNs"
YouTube Link 2025-11-19T03:31Z 201K followers, [----] engagements
"DGX Spark Live: Rapid AI Agent Development The latest generation of AI models is accelerating the deployment of AI agents helping to write code perform deep research or act as a personal assistant managing schedules booking travel and updating calendars. The ability to quickly create and deploy AI agents is becoming a business imperative. Join us to learn how Aible enables you to rapidly create AI agents within minutes using your data and easily deploy them on desktop data center or cloud. We will explore how Aible takes advantage of DGX Spark to build and deploy agents and how you can use"
YouTube Link 2026-01-28T06:22Z 201K followers, [----] engagements
"Build Vision AI Pipelines Faster with NVIDIA DeepStream Inference Builder The DeepStream Inference Builder part of NVIDIA's DeepStream SDK is a toolkit for building real-time AI-powered streaming analytics pipelines using video audio or image data. Inference Builder turns AI model ideas into production-ready services with ease. Developers can now go from YAML config to deployment in minutesautomating data flow preprocessing model execution and API integration. This video walks through how to use DeepStream Inference Builder with a quick example. Learn more about DeepStream SDK"
YouTube Link 2025-09-23T16:01Z 201K followers, [----] engagements
"NVIDIA Jetson AGX Xavier Developer Kit Initial Setup This video will quickly help you configure your NVIDIA Jetson AGX Xavier Developer Kit so you can get started developing with it right away. In addition to this video please see the user guide (linked below) for full details about developer kit interfaces and the NVIDIA JetPack SDK. View the Jetson AGX Xavier Developer Kit User Guide: https://developer.nvidia.com/embedded/dlc/jetson-agx-xavier-developer-kit-user-guide Purchase the Jetson AGX Xavier Developer Kit: https://developer.nvidia.com/buy-jetson"
YouTube Link 2018-12-21T18:24Z 200K followers, 68.2K engagements
"DIY Autonomous Car Racing with NVIDIA Jetson Interested in seeing AI races in person Visit our amAIzing race track to watch or compete as DIY autonomous cars battle it out to the finals. The DIY Robocars community will be revving up their RC-sized cars at NVIDIAs GTC [----] in San Jose. Attendees are invited to root for their favorite team and learn about the cutting-edge AI technology in action. Victors and runner-ups will be awarded prizes In this video we talked to Chris Anderson Founder of DIY RoboCars and with members of the UCSD robotics club that participated in the [----] DIYRobocars"
YouTube Link 2020-01-31T18:31Z 201K followers, 306.1K engagements
"CUDA: New Features and Beyond NVIDIA GTC [----] The CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through CUDA's libraries compilers runtimes and language which means CUDA is growing as fast as its ecosystem is evolving. At this engineering-focused talk by one of the architects of CUDA you'll learn what's new and what's coming next for both CUDA and GPU computing as a whole. CUDA Toolkit: https://developer.nvidia.com/cuda-toolkit Speaker: Stephen Jones CUDA Architect NVIDIA Topic: CUDA Development and Optimization -"
YouTube Link 2025-04-09T20:00Z 200K followers, [----] engagements
"NVIDIA Cosmos Cookbook: Tips for the Physical Plausibility Recipe Learn how to get more out of NVIDIA Cosmos with tips straight from the authors behind our Cosmos Cookbook recipes. Watch the livestream 👉 https://www.addevent.com/calendar/ss55fmjpm04t Explore the Cosmos Cookbook 👉 https://nvda.ws/4k7EmaN Register for the hackathon 👉 https://nvda.ws/4qP4sly #NVIDIACosmos #WorldFoundationModels #CosmosCookbook #PhysicalAI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI"
YouTube Link 2026-02-04T19:05Z 201K followers, [----] engagements
"Agentic AI Solutions with CrewAI and Nemotron Nemotron Labs Join this exclusive livestream for a practical deep dive with CrewAI CEO Joaoa Moura exploring real-world agentic streaming and the latest breakthroughs using Nemotron open models in production frameworks for top brands. What developers will learn: How CrewAI integrates Nemotron for rapid modular agent workflows powering everything from simple task automation to complex multi-agent orchestration. Field-tested tips and best practices on building scalable agents with insights pulled directly from CrewAIs deployments in enterprise"
YouTube Link 2026-01-05T20:58Z 201K followers, [----] engagements
"Inference Office Hours with SGLang: Performance Optimizations for LLM Serving Join us to find out the latest inference optimizations for leading open source models from SGLang on NVIDIA GPUs. Well dive into an in-depth overview of the engineering behind optimizing SGLang on GB200 followed by a deep dive of recent performance advancements targeting low-latency inference and throughput efficiency. General Resources: Dynamo Day on demand: Inference OSS Ecosystem featuring SGLang https://nvda.ws/3MeKMsb SGLang Adds Day-0 Support for the Highly Efficient Open Nemotron [--] Nano Hybrid MoE Model"
YouTube Link 2026-02-06T01:33Z 201K followers, [----] engagements
"Inside Document Intelligence: Architecture & Demos from Edison Scientific and Justt Nemotron Labs As a follow-up to our 2/10 session on building a Document Intelligence pipeline for RAG with Nemotron this livestream focuses on how companies apply IDP in real-world products. Edison Scientific and Justt will join us to demo how they use Nemotron to process and understand complex documents at scale. Join us to see how teams are deploying document intelligence in production and what it takes to build these systems in the real world"
YouTube Link 2026-02-07T02:35Z 201K followers, [--] engagements
"How to Build a Document Processing Pipeline for RAG with Nemotron Learn to build a document pipeline that turns PDFs into cited answers with NVIDIA Nemotron. Traditional Retrieval-Augmented Generation (RAG) is effective for regular text but often fails with real-world documents that include tables figures and nested tables. When these complex document structures are reduced to simple text strings it causes "linearization loss". This means the helpful structure needed to understand the documents is removed which can lead to problems like not knowing which column a row value belongs to"
YouTube Link 2026-02-04T16:49Z 201K followers, [----] engagements
"NVIDIA Cosmos Cookbook: Tips for the Intelligent Transportation Post-Training Recipe Learn how to get more out of NVIDIA Cosmos with tips straight from the authors behind our Cosmos Cookbook recipes. Watch the livestream 👉 https://www.addevent.com/calendar/ss55fmjpm04t Explore the Cosmos Cookbook 👉 https://nvda.ws/4k7EmaN Register for the hackathon 👉 https://nvda.ws/4qP4sly #NVIDIACosmos #WorldFoundationModels #CosmosCookbook #PhysicalAI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI"
YouTube Link 2026-02-02T19:00Z 201K followers, [----] engagements
"Unboxing the NVIDIA DRIVE AGX Thor Developer Kit The developer kit is built on the NVIDIA Blackwell architecture next-generation Arm Neoverse V3AE CPUs and the NVIDIA DriveOS [--] software stack. Its purpose-built for reasoning vision language action models and ideal for automotive development with sufficient I/O to support surround cameras radars and lidars as well as common vehicle interfaces including GbE/10GbE and PCI-Express. DRIVE AGX Thor also meets the automotive industrys stringent functional safety (ISO 26262) and cybersecurity requirements (ISO 21434). URLs mentioned in the video:"
YouTube Link 2025-09-22T18:34Z 200K followers, [----] engagements
"Ask the Experts: Meet Nemotron [--] Nano AI Researchers Nemotron Labs Curious how Nemotron [--] Nano was builtand how to start building agents with Nemotron [--] Nano Nemotron [--] Nano is an open hybrid MambaTransformer MoE model designed for efficient longcontext agentic workloads. This livestream is your chance to chat directly with the Nemotron AI researchers behind the model and learn whats new. In this Nemotron Labs livestream you can ask about: - How the hybrid MambaTransformer MoE backbone works in practice and what it means for latency throughput and longrange reasoning in realworld agents. -"
YouTube Link 2026-01-26T22:08Z 201K followers, [----] engagements
"Introducing NVIDIA DGX Spark GTC [----] Keynote NVIDIA DGX Spark belongs to a new class computers designed to build and run AI enabling developers to prototype fine-tune and inference large #AI models locally and seamlessly deploy to the data center or cloud. Learn more: https://www.nvidia.com/en-us/products/workstations/dgx-spark/ 📣 Announced 5/19/2025: We will be launching our AI-first personal computing systems NVIDIA DGX Spark and DGX Station with global computer makers. ➡"
YouTube Link 2025-03-19T16:29Z 201K followers, 15K engagements
"CES meets DGX Spark [----] wrap-up Join the NVIDIA Developer Community Team for our CES [----] WrapUp livestream. Well look at this years biggest moments and innovations from the keynote and bustling CES show floor featuring demos in action. Well share insights and reactions from the event adding depth and perspective including updates and responses to recent announcements across the industry. Then well spotlight whats new with DGX Spark the firstoutofthegate platform powering nextgeneration AI research and development everywhere. Expect snapshots of new opensource models community contributions"
YouTube Link 2026-01-07T00:02Z 201K followers, [----] engagements
"Intro to NVIDIA NIM for AI Builders Discover why portable cloud-native inference microservices are ideal for powering enterprise generative AI applications. Add to your calendar: https://www.addevent.com/event/FM24088078 To further explore and get started with NIM visit these resources: NVIDIA NIM for Developers: https://nvda.ws/4frykhh Try the NVIDIA Launchable from the livestream: https://nvda.ws/3VM3IQo NIM AI foundation models discord channel (First join the developer discord before participating in this channel): https://nvda.ws/3DqvWdi Try NIM in the NVIDIA API catalog:"
YouTube Link 2024-12-04T16:26Z 200K followers, 16.1K engagements
"NVIDIA Jetson AGX Xavier Developer Kit - Introduction The NVIDIA Jetson AGX Xavier Developer Kit is the latest addition to the Jetson platform. Its an AI computer for autonomous machines delivering the performance of a GPU workstation in an embedded module under 30W. Jetson AGX Xavier is designed for robots drones and other autonomous machines. Learn more: https://developer.nvidia.com/jetson-xavier NVIDIA Jetson Developer Kit Robotics AI at the edge Autonomous Machines Intelligent Machines GPU AI Deep Learning Artificial Intelligence NVIDIA Jetson AGX Xavier NVIDIA Jetson Developer Kit"
YouTube Link 2018-07-10T23:50Z 200K followers, 127.7K engagements
"Create Infinite Medical Imaging Data with Generative AI Learn More: https://monai.io/ #MONAI #medicalimaging #medicalAI Generative AI for medical imaging can create infinite synthetic images of the human anatomy. These large synthetic datasets are used for training generalizable AI models that can learn from evolving patient data while preserving patient privacy. Learn how MONAI a framework for building and deploying medical AI and partners like Kings College London Mount Sinai and East River Imaging are using generative AI to study disease and make AI decisions and predictions more accurate"
YouTube Link 2023-03-21T16:41Z 201K followers, 89.8K engagements
"3 Steps for Building an Intelligent Document Pipeline for RAG With Nemotron Learn how to build a high-throughput IDP pipeline that uses vision-based extraction to turn complex charts and nested tables into searchable intelligence. By preserving document structure with markdown and multimodal embeddings you can boost RAG accuracy by 40%. Check out the full Jupyter notebook and technical blog. 📝 Tech blog: https://nvda.ws/3NVXM6r 📝Notebook: https://colab.research.google.com/drive/1qQXYfzmaIXglKfnqhZ2YXXE_OmAybxSr"
YouTube Link 2026-02-05T17:00Z 201K followers, [----] engagements
"1001 Ways to Accelerate Python with CUDA Kernels NVIDIA GTC [----] Learn how to write high-performance CUDA kernels directly in Python using tools and best practices that maximize GPU acceleration. In this NVIDIA GTC [----] session well explore kernel structure memory management thread coordination and optimization strategiesmaking it easier than ever to integrate CUDA into your Python applications. Speaker: Leo Fang Python CUDA Tech Lead NVIDIA Watch more NVIDIA GTC sessions on demand: https://www.nvidia.com/en-us/on-demand/ncid=so-yout-194474-vt33 CUDA Toolkit:"
YouTube Link 2025-04-16T17:00Z 200K followers, 12.5K engagements
"What is CUDA Tile Join Stephen Jones CUDA Architect for a clear and insightful introduction to a paradigm-shifting technology: CUDA Tile. If you're wondering how modern GPU programming is evolving this video provides the essential foundation. We break down the core concepts of CUDA Tile explain why it's a necessary development for peak performance and discuss how it fundamentally changes the way we think about parallel computation. Speaker & Resources: 👤 Speaker: Stephen Jones CUDA Architect 📖 Official CUDA Tile Documentation: http://docs.nvidia.com/cuda/tile-ir 💡 Explore CUDA Tile:"
YouTube Link 2025-12-19T19:09Z 201K followers, [----] engagements
"Dynamo and Kubernetes Gateway Live from CES Join us for our Dynamo Office Hours from CES This is your opportunity to get hands-on support ask questions and explore NVIDIA Dynamo workflows with our experts. In this edition well learn about how Dynamo integrates with the Kubernetes Gateway API via its inference extension helping you plug dynamo into existing kubernetes clusters and use existing kubernetes plugins. Well explain what the inference extension is and how you can use it with Dynamo. Whether you're just getting started or looking to dive deeper this session is here to help you level"
YouTube Link 2026-01-10T00:16Z 201K followers, [---] engagements
"Build a RAG Agent with NVIDIA Nemotron Nemotron Labs Curious about designing AI agents using RAG Join us for a developer-focused livestream that takes you from first principles to code exploring the "why" and "how" of building agentic AI using practical examples. Well cover step by step: - A live demo: building and running a simple agentic RAG pipeline in a coding window with Nemotron NVIDIAs open reasoning model - How to connect tools use memory and see agentic behavior in action - Your questions answered throughout with relatable explanations and no prior experience needed By the end you'll"
YouTube Link 2025-09-01T21:59Z 200K followers, [----] engagements
"An Introduction to NVIDIA Cosmos World Foundational Models NVIDIA GTC [----] NVIDIA Cosmos is transforming how robots and autonomous vehicles learn accelerating physics-aware synthetic video generation with world foundation models. Join Ming-Yu NVIDIAs VP of Generative AI Research to see how Cosmos is democratizing physical AI developmentgiving developers open models and tools to build custom world models faster than ever. Speaker: Ming-Yu Liu VP Generative AI Research NVIDIA NVIDIA GTC [----] Session S72431. Watch more #robotics sessions from GTC on demand:"
YouTube Link 2025-04-08T22:30Z 201K followers, 16.3K engagements
"Implementing New Algorithm with CUDA Kernels CUDA C++ Class Part [--] Welcome to NVIDIAs Modern CUDA C++ Programming Class. You will learn how to implement new algorithms on the GPU using CUDA Kernels. This series is for C++ developers who want to use the GPU effectivelywhether youre new to CUDA and want the fastest path from hello world to real acceleration or youre an experienced CUDA programmer ready to modernize your code with the latest best practices. If you already know C++ and want to write clean efficient idiomatic GPU code this course is for you. This video is part of a broader"
YouTube Link 2025-11-06T22:13Z 200K followers, [----] engagements
"Building with FLUX.2: From Prototype to Real-World Application Join Black Forest Labs a member of the NVIDIA Inception Program and NVIDIA for an immersive technical exploration into FLUX.2 the state-of-the-art model redefining the boundaries of visual synthesis. Technical experts will deconstruct the FLUX.2 architecture discussing optimized deployment strategies on NVIDIA infrastructure and the diverse use casesfrom enterprise design to media productionthat this model enables. In this livestream join us for: - Live coding demonstrations of real-world examples illustrating how to move a"
YouTube Link 2026-01-22T13:05Z 201K followers, [----] engagements
"Set Up a Graphic Design AI Agent in [--] Minutes with NVIDIA NIM Harness the power of AI agents for content creation and digital illustration using NVIDIA NIMa set of easy-to-use microservices designed for secure reliable deployment of high-performance AI models inferencing across clouds data centers and workstations. Zenodia Charpy senior deep learning data scientist and solution architect at NVIDIA walks you through how to set up two AI agentsone for content generation and another for digital graphic design. This process uses Llama [---] 405B alongside stable diffusion models and server-side"
YouTube Link 2024-11-21T21:55Z 200K followers, 6.9M engagements
"Introduction to Physical AI & Robotics at NVIDIA This session will provide a high-level overview of NVIDIA's comprehensive approach to robotics emphasizing how our open models frameworks libraries and hardware are empowering developers to build intelligent and autonomous systems. Attendees will learn about the fundamental components of NVIDIA's robotics ecosystem"
YouTube Link 2025-12-20T17:01Z 201K followers, [----] engagements
"DGX Spark Live: Backend Development with Local LLM Inference In this episode well explore various ways DGX Spark can help engineering teams building Generative AI applications by iterating faster and managing their own development infrastructure. Topics covered include: open source inference engineers; open source models; use cases and opportunities. Getting Started with DGX Spark: https://nvda.ws/49TaaNs Demos shown available here: https://github.com/abdelrahmanhosny/embedded-ai"
YouTube Link 2025-12-05T06:27Z 200K followers, [----] engagements
"First Look: NVIDIA DGX SuperPOD with DGX GB200 Systems An exclusive first look at an NVIDIA DGX SuperPOD with eight DGX GB200 systems. See everything -- from Grace Blackwell Superchips to InfiniBand and Spectrum-X networking and liquid cooling -- that makes it a record-setting system. Straight from an Equinix data center in Silicon Valley. Read the blog: https://nvda.ws/3FOL1GG"
YouTube Link 2025-04-07T20:30Z 201K followers, 25.3K engagements
"NVIDIA Cosmos Cookbook: Tips for the Egocentric Social and Physical Reasoning Recipe Learn how to get more out of NVIDIA Cosmos with tips straight from the authors behind our Cosmos Cookbook recipes. Watch the livestream 👉 https://www.addevent.com/calendar/ss55fmjpm04t Explore the Cosmos Cookbook 👉 https://nvda.ws/4k7EmaN Register for the hackathon 👉 https://nvda.ws/4qP4sly #NVIDIACosmos #WorldFoundationModels #CosmosCookbook #PhysicalAI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI NVIDIA Cosmos World Foundation Models Cosmos Cookbook Physical AI"
YouTube Link 2026-02-03T16:55Z 201K followers, [----] engagements
"Introduction to the Nsight Tools Ecosystem CUDA Developer Tools GPU acceleration enables faster and smarter applications and CUDA enables you to harness acceleration on NVIDIA GPUs. But debugging profiling and optimizing CUDA can be challengingespecially if you cant see the hardware processes interfacing with CUDA. To help you fully harness CUDA acceleration NVIDIA offers tools to make development easier and more efficient. This tutorial is an introduction to the NVIDIA Nsight Developer Tools ecosystem a suite of software libraries SDKs and IDE tools that help you use CUDA to accelerate your"
YouTube Link 2023-09-22T15:43Z 200K followers, 12.4K engagements
"DGX Spark Live: Powering Higher Education and Research Join NVIDIA and Stanford researchers for an exciting look at Biomni a next-generation biomedical AI agent transforming how labs explore data and design experiments. Discover how Biomni running on NVIDIA DGX Spark turns complex biomedical workloads into fast automated insights giving teams a powerful launchpad for rapid experimentation evaluation and seamless scaling"
YouTube Link 2026-02-10T22:52Z 201K followers, [--] engagements
"Set Up Your NVIDIA RTX [----] GPU for AI Development on Linux with PyTorch This step-by-step guide walks you through setting up your Ubuntu environment for deep learning using NVIDIA RTX [----] GPU PyTorch and Hugging Face. Learn how to install NVIDIA drivers verify installation install PyTorch and Hugging Face Transformers and run a state-of-the-art large language model. More specifically youll learn how to: ✔ Install the latest NVIDIA [----] drivers on Ubuntu [-----] LTS for optimal performance. ✔ Install PyTorch Torchaudio and Torchvision nightly with NVIDIA Blackwell support and validate GPU"
YouTube Link 2025-02-10T21:33Z 201K followers, 21.9K engagements
"AI Warehouse: AMR Visual Navigation with Isaac Sim & Isaac ROS Autonomous machines are forecasted to dramatically increase the efficiency of warehouses factories and other industrial environments. NVIDIA Isaac ROS GEMs enable novel applications by empowering robots to intelligently perceive complex 3D environments. In this video we showcase a camera-based navigation pipeline in which a robot uses NVIDIAs GPU-accelerated visual SLAM algorithm (https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_visual_odometry) to find its location in the world. GPU-accelerated real-time 3D scene reconstruction"
YouTube Link 2022-03-22T16:59Z 201K followers, 26.8K engagements
"How to Build a Voice Agent with RAG and Safety Guardrails This tutorial provides a step-by-step guide on how to build a voice agent using the latest NVIDIA Nemotron models. Youll learn how to integrate four core components: multimodal RAG to retrieve relevant text and images automatic speech recognition (ASR) to convert live audio into text a safety model to filter safe or unsafe content and long-context reasoning to generate accurate grounded responses. 📝 Tech blog: https://nvda.ws/4snwyFz ➡ Learn more: https://nvda.ws/4jjQgxL 📥 Download:"
YouTube Link 2026-01-05T22:10Z 201K followers, [----] engagements
"Tensor Cores in a Nutshell This video gives a brief introduction to the Tensor Core technology inside NVIDIA GPUs and how its important to maximizing deep learning performance. https://developer.nvidia.com/tensor-cores NVIDIA AI GPU Tensor Core Tensor Cores Tensorcore Tensorcores Deep Learning DL Deep Learning Training AI Training CNN DNN Mixed-Precision Training Mixed-Precision Mixed Precision Mixed Precision Training FP-16 FP-32 FP16 FP32 NVIDIA AI GPU Tensor Core Tensor Cores Tensorcore Tensorcores Deep Learning DL Deep Learning Training AI Training CNN DNN Mixed-Precision Training"
YouTube Link 2019-01-30T18:26Z 201K followers, 106.4K engagements
"Getting Started with the NVIDIA Riva Parakeet NIM Learn how to get started with the NVIDIA Riva Parakeet NIM to create more natural and intuitive voice-powered applications from enhancing the accuracy of virtual assistants to enabling seamless real-time communication. Parakeet is a major step forward in the evolution of conversational AI. Its exceptional accuracy coupled with the flexibility and ease of use offered by NIM empowers developers to create endless possibilities. 00:00 - Part 1: Introduction 00:17 Part 2: API Catalog Demo at ai.nvidia.com 01:35 Part 3: NVIDIA Riva Parakeet NIM on"
YouTube Link 2024-07-05T16:51Z 190K followers, [----] engagements
"Advancing HPC and AI Energy Efficiency with AWS and NVIDIA Data center resources face increasing strain from escalating energy demands particularly for large-scale HPC and generative AI workloads. Innovative solutions include cloud-based accelerated computing to sustain operations while minimizing environmental impact. In this video Srinivas Tadepalli of AWS explains how to address HPC and generative AI workload needs shares customer use cases and offers three ways to achieve energy efficiency. Learn more about energy efficiency for HPC workloads on AWS with accelerated computing from NVIDIA:"
YouTube Link 2024-04-26T18:10Z 194K followers, [----] engagements
"Double Your Deep Learning Performance with JetPack [---] Learn how to double your deep learning performance with JetPack [---]. Our latest SDK for the Jetson TX1 packs a lot of punch so developers can add complex AI and deep learning abilities to intelligent machines. This all-in-one package bundles and installs all system software tools optimized libraries and APIs along with providing examples so developers can quickly get up and running with their innovative designs. Key features include TensorRT cuDNN [---] CUDA [--] and multimedia API. Download it today. We cant wait to see what you build with"
YouTube Link 2016-11-11T23:50Z 190K followers, 11.7K engagements
"Whats New in Clara Train [---] In the field of medicine advancements in artificial intelligence are constantly evolving. To keep up with the pace of innovation means adapting and providing the best experience to researchers clinicians and data scientists. To this end NVIDIA Clara Train an application framework for training medical imaging models has undergone significant changes for its upcoming release in May with extensive product enhancements for better AI model training. Learn more about three of our most significant features introduced in Clara Train 4.0: [--]. We've upgraded the underlying"
YouTube Link 2021-04-12T17:31Z 193K followers, [----] engagements
"NVIDIA Tegra System Profiler - Introduction An introduction to the latest NVIDIA Tegra System Profiler. Includes an UI workthrough and setup details for Tegra System Profiler on the NVIDIA Jetson Embedded Platform. Download and learn more at http://developer.nvidia.com/tegra-system-profiler"
YouTube Link 2015-11-17T00:54Z 189K followers, 21.7K engagements
"Preview: Accelerated Exploratory Data Analysis and Visualization with pandas and NVIDIA RAPIDS"
YouTube Link 2025-02-14T20:39Z 160K followers, [---] engagements
"What Inspired You to Become a Developer 👨💻 👩💻 ✨ Minecraft too 🎉 Happy International #ProgrammersDay #developer #programmer #programmersday"
YouTube Link 2024-09-12T16:00Z 194K followers, [----] engagements
"3 Tips on Winning Kaggle Challenge from Grandmaster Chris Deotte 🏎 What does it take to win a Kaggle competition The top solution wasnt just accurate it was fast. 🏁 👀 Kaggle Grandmaster Chris Deotte details the exact stacking strategy that powered his first-place finish using GPU-accelerated modeling with cuML for the April [----] challenge. 📝 Youll learn a powerful pro tip: how to explore hundreds of diverse models quickly and combine them into a layered ensemble that outperforms the rest. ➡"
YouTube Link 2025-05-24T21:00Z 193K followers, [----] engagements
"Building AI with Clara Toolkits for Medical Imaging NVIDIA's David Nola walks through how to integrate Clara Train and Clara Deploy medical imaging tools into existing AI infrastructure. Learn more about Clara AI: https://nvda.ws/2NIagz1 Download Clara SDKs here: Clara Train - https://nvda.ws/2lgbcgg Clara Deploy - https://nvda.ws/2ldfqVX Clara SDKs are for developmental purposes only and cannot be used directly for clinical procedures"
YouTube Link 2019-07-08T18:16Z 161K followers, 28.2K engagements
"BTS: How NVIDIA's KGMoN Team Won Kaggle ARC Prize [----] How did the ARC AGI [----] first-place winners incorporate synthetic data in their solution Go behind the scenes with Jean-Franois Puget and Ivan Sorokin from the KGMoN team at NVIDIA as they break down their cutting-edge strategy for solving the ARC-AGI [--] few-shot reasoning benchmark. Discover how they used synthetic data test-time training and NVIDIA NeMo tools including NeMo RL and NeMo Skills to build a smart efficient model that beat much larger systems"
YouTube Link 2025-12-05T18:02Z 195K followers, [----] engagements
"Getting Started with NVIDIA Torch-TensorRT Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of NVIDIA TensorRT on NVIDIA GPUs. With just one line of code it provides a simple API that gives up to 6x performance speedup on NVIDIA GPUs. The integration also offers a fallback to native PyTorch when segments of the model aren't supported by TensorRT. This video will help you get started with Torch-TensorRT. Torch-TensorRT Container on NGC: https://nvda.ws/2ZISBh7 Documentation: https://nvidia.github.io/Torch-TensorRT/ Learn more about TensorRT:"
YouTube Link 2021-12-02T16:57Z 189K followers, 48.3K engagements
"Customizing AI Agents for Tool Calling with NVIDIA NeMo Microservices AI agents rely on tools to execute complex tasks effectively. As the number of available tools expands from tens to hundreds customizing the underlying models for tool calling becomes increasingly critical to maintain efficiency and accuracy. Learn how to customize AI agents for precise function calling with this end-to-end example with NVIDIA NeMo microservices. ➡ Learn more about NVIDIA NeMo: https://nvda.ws/3YfbGU9 📖 Read our new how-to technical blog: https://nvda.ws/4jwCKpl 📝 Tutorial:"
YouTube Link 2025-04-23T13:01Z 193K followers, [----] engagements
"Search Through Your Video Dataset in Seconds"
YouTube Link 2025-11-19T18:03Z 194K followers, [----] engagements
"Get Started with NVIDIA Jetson Nano Developer Kit NVIDIA Jetson Nano Developer Kit is a small powerful computer that lets you run multiple neural networks in parallel for applications like image classification object detection segmentation and speech processing. Learn more at: https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Join the NVIDIA Developer Program: https://nvda.ws/3OhiXfl Read and subscribe to the NVIDIA Tech Blog: https://nvda.ws/3XHae9F"
YouTube Link 2019-03-18T23:26Z 195K followers, 560.7K engagements
"DGX Spark Live: Powering EPRIs AI Research Join EPRI a nonprofit research organization dedicated to advancing the science that powers a reliable affordable and resilient energy future. Discover how EPRI is innovating with NVIDIA DGX Spark to run advanced openweight models such as gptoss120b and Qwen3Embedding8B to drive a secure AI-powered document research assistant. Get started with DGX Spark: https://nvda.ws/4o2rDHn"
YouTube Link 2025-11-13T03:45Z 193K followers, [--] engagements
"Supercharge Pandas GroupBy & Aggregation with NVIDIA GPUs Grouping and aggregation in pandas are significantly faster on NVIDIA GPUs. In this tutorial we explore three different Pandas groupBy and aggregation syntaxes demonstrating how to accelerate these operations using NVIDIAs open-source data frame acceleration library cuDF. Learn how to take full advantage of GPU acceleration for faster more efficient data processing"
YouTube Link 2025-03-13T21:58Z 188K followers, [----] engagements
"How to Perform Large-Scale Image Classification Grandmaster Series E2 In episode two of the Grandmaster Series learn how participating members of the Kaggle Grandmasters of NVIDIA (KGMON) built large-scale image classification models to win the Google Landmark Recognition [----] Kaggle competition. In this landmark recognition challenge the team had to build models that recognize the correct landmark (if any) in a dataset of complicated test images. This is easier said than done given landmark recognition contains a much larger number of classes. For example there were more than [-----] classes"
YouTube Link 2020-11-17T16:01Z 192K followers, 48.4K engagements
"NVIDIA Releases NIM Microservices to Safeguard Applications for Agentic AI NVIDIA NeMo Guardrails includes new NVIDIA NIM microservices to enhance accuracy security and control for enterprises building AI across industries. Read blog: https://nvda.ws/3Pvhgwh Read technical blog: https://nvda.ws/4hadILw Agentic AI AI Agent AI Agents Generative AI Safeguard AI AI Guardrails"
YouTube Link 2025-01-16T14:00Z 194K followers, [----] engagements
"Unboxing the NVIDIA Jetson TX1 developer kit Get an inside view of the new NVIDIA Jetson TX1 DevKit. It is the newest member of the Jetson platform with even more performance and power efficiency than its predecessor the Jetson TK1. As you will see the TX1 features a module design plugged into a carrier board. It features the NVIDIA Maxwell GPU with [---] CUDA cores a Quad-core ARM A57 Processor [--] GB LPDDR4 core memory [--] GB flash storage and it is Wi-Fi Bluetooth and Ethernet ready. The DevKit comes preflashed with Linux for Tegra. And best of all the module is ready to be integrated into your"
YouTube Link 2015-11-19T21:04Z 189K followers, 37.7K engagements
"BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects CVPR [----] We present a near real-time method for 6-DoF tracking of an unknown object from a monocular RGBD video sequence while simultaneously performing neural 3D reconstruction of the object. Our method works for arbitrary rigid objects even when visual texture is largely absent. The object is assumed to be segmented in the first frame only. No additional information is required and no assumption is made about the interaction agent. Key to our method is a Neural Object Field that is learned concurrently with a pose"
YouTube Link 2023-06-01T16:48Z 175K followers, [----] engagements
"Scale AI Applications to the Data Center and Cloud with NVIDIA Nsight Systems Applications are harnessing generative AI and scaling out to the GPU-accelerated data center and cloud. To help you build software in today's large-scale computing environment NVIDIA Nsight Systems introduces new features that support application developers using microservices. Key features include: Multi-node analysis with scripts called recipes that visualize your applications execution with a Jupyter Notebook integration. Recipes guide you in optimizing GPU use CUDA kernel time and more. New recipes are available"
YouTube Link 2024-03-18T22:00Z 192K followers, [----] engagements
"Getting Started: NVIDIA AI Enterprise on Microsoft Azure Marketplace Learn how to launch NVIDIA AI Enterprise from Microsoft Azure Marketplace in [--] easy steps. The NVIDIA AI Enterprise marketplace offer on Microsoft Azure includes a VMI which provides a standard optimized run time for easy access to the NVIDIA AI Enterprise software and ensures development compatibility between clouds and on premises infrastructure. Develop once run anywhere. Learn more:"
YouTube Link 2023-05-24T15:34Z 188K followers, [----] engagements
"NeRD 🤓 Advances Robotics (Neural Robot Dynamics) Meet NeRD 🤓: Neural Robot Dynamics for modern robots. By combining neural dynamics with analytical modules NeRD generalizes to new tasks and environments while keeping predictions stable. Ready to close the gap between simulation and reality Give NeRD a spin in Newton physics engine. From #NVIDIAResearch"
YouTube Link 2025-09-30T15:35Z 194K followers, [----] engagements
"Train AI Agents for Command Line Tasks with Synthetic Data and Reinforcement Learning Nemotron Labs What if your computer-use agent could learn a new command-line tooloperating it safely without writing files or free-typing shell commands With NVIDIA Nemotron open models you can quickly train specialized agents for any CLI using synthetic data and reinforcement learningno usage logs required. Curious how it can be adapted for your own proprietary CLI environment Join us live for a developer-focused livestream. In this interactive livestream well cover: - A live demo: Generating synthetic"
YouTube Link 2025-11-22T04:09Z 194K followers, [--] engagements
"Beyond the Algorithm with NVIDIA: Simplify Deployment for a World of LLMs with NVIDIA NIM NVIDIA NIM microservice containers provide everything AI teams need to deploy the latest AI models from NVIDIA and the community with a simple docker run command. NVIDIA now provides a single NIM container designed to work with the most popular open source LLM architectures including over [------] LLMs on Hugging Face. With multiple inference backends including NVIDIA TensorRT-LLM vLLM and SGLang built-in the LLM-agnostic NIM container automatically pairs your choice of LLM with an optimal inference"
YouTube Link 2025-07-10T00:24Z 189K followers, [----] engagements
"Build Powerful AI Agents with Qwen3-Next Meet Qwen3-next the open-source LLM powering next-gen AI agents Qwen3-next is a powerful open-source language model designed for advanced reasoning and coding that is fast scalable and works great with NVIDIA GPUs. In this video we'll show you how to run Qwen3-next with vLLM or SGLang for blazing-fast inference. Then see the Qwen3-next reasoning model in action with a data analyst agent application where you can upload your data ask questions in plain English and get instant insights and visualizations with no coding needed. ➡ Try out the model with"
YouTube Link 2025-10-01T16:34Z 188K followers, [----] engagements
"Live from NeurIPS: Meet the Researchers Nemotron Labs 📱 Join us live from NeurIPS for an inside look at groundbreaking research built with NVIDIA Nemotron a family of open models with open weights training data and recipes. During the livestream youll hear directly from NVIDIA researchers advancing the frontiers of AI: An introduction and insights from their NeurIPS-accepted research paper shaping new directions in machine learning The motivations and challenges behind their work Real-time answers to audience questions via live chat How these discoveries can be applied extended and"
YouTube Link 2025-11-22T03:55Z 194K followers, [--] engagements
"Dynamo Office Hours Join us for our Dynamo Office Hours your opportunity to get hands-on support ask questions and explore NVIDIA Dynamo workflows with our experts. Whether you're just getting started or looking to dive deeper this session is here to help you level up your skills and understanding. ✅ Meet service level objectives and balance time to first token and inter-token latency when serving OpenAI's new gpt-oss with NVIDIA Dynamo. 📈 Using disaggregated serving Dynamo delivers [--] better interactivity for long ISLs with no extra GPU cost. Dynamo supports major backends and brings"
YouTube Link 2025-08-08T12:57Z 194K followers, [----] engagements
"Distributed Inference 101: Disaggregated Serving with NVIDIA Dynamo Disaggregated serving enables developers to serve large language models (LLMs) with maximum throughput given their latency requirements by separating prefill and decode phases of the LLM and executing them independently on GPUs. In this video we demonstrate: How to harness the power of disaggregated serving Introduce more advanced features offered by NVIDIA Dynamo such as auto-discovery and conditional disaggregation. Explore and Download https://github.com/ai-dynamo/dynamo #Inference #datacenter #AI #disaggregatedserving"
YouTube Link 2025-03-18T18:49Z 194K followers, [----] engagements
"GTC [----] Keynote Teaser NVIDIA CEO Jensen Huang's keynote is a must-see for anyone who wants to stay up-to-date on the latest discoveries in AI. Tune in to #GTC23 to discover the #AI breakthroughs that are shaping our future--online on March [--] [--] a.m. PDT Learn more: https://www.nvidia.com/gtc/keynote/ncid=so-othe-310624"
YouTube Link 2023-03-14T22:26Z 194K followers, [----] engagements
"Transforming AI: GTC Panel Hosted by Jensen Huang ✨Don't miss the insights from all [--] authors of the groundbreaking paper "Attention is All You Need" that introduced transformers to the world. 👀 Hear from the experts on the technology that helped build every major #AI model. Join us at #GTC24 ➡ https://nvda.ws/3uS5mps"
YouTube Link 2024-02-29T21:07Z 193K followers, [---] engagements
"Fine-Tuning and Customizing LLMs with NVIDIA RTX Virtual Workstation Discover how to create AI projects with NVIDIA RTX Virtual Workstation and easily fine-tune customize and export large language models (LLMs) on a virtual desktop in minutes. This video covers the process of setting up the virtual environment with NVIDIA RTX Virtual Workstation and building your projects on NVIDIA AI Workbench to successfully customize your LLMs. 00:00 Introduction 0:58 Setup 1:48 Cloning and Building the Project 📝 Learn more about NVIDIA RTX Virtual Workstation: https://nvda.ws/437pnam 📝 Check out our"
YouTube Link 2025-02-21T01:23Z 179K followers, [----] engagements
"Whats ahead in the next year of AI innovation 🧭🤖 We caught up with Stanford Professor and distinguished scientist Yejin Choi at #NeurIPS2025 to hear her [----] predictions"
YouTube Link 2025-12-05T23:52Z 195K followers, [----] engagements
"Accelerating Feature Engineering with NVIDIA cuDF and cuML In this short tutorial Chris Deotte Kaggle Grandmaster of NVIDIA walks you through how GPU-accelerated feature engineering can significantly speed up data processing and improve model performance. You'll learn how to: ✔ Use NVIDIA cuDF & cuML to accelerate data processing ✔ Apply cuML target encoding to enhance predictions ✔ Optimize your XGBoost model for higher AUC scores Join us at NVIDIA GTC for expert talks and hands-on workshops on cutting-edge AI & ML advancements https://nvda.ws/43RFj0C ➡ Claim a free hands-on Data Science"
YouTube Link 2025-03-14T23:14Z 188K followers, [----] engagements
"Getting Started with ChatRTX in Three Steps Get started with Chat RTX today. This step-by-step tutorial walks you through downloading installing launching and using ChatRTX. Create a personalized chatbot with the Chat with RTX tech demo. Accelerated by TensorRT-LLM and Tensor Cores you can quickly get tailored info from your files and content. Try it now. Appendix A - Short Story: https://drive.google.com/file/d/1NZQ3D37nM1FN794Die6xjaKeJp5hxJ4A/viewusp=sharing Available to download now for GeForce RTX [--] and [--] Series owners: https://www.nvidia.com/en-us/ai-on-rtx/chatrtx/ Learn more about"
YouTube Link 2024-05-23T11:27Z 192K followers, [----] engagements
"GPU Accelerated Polars Learn how Polars Lazy Evaland NVIDIA GPU acceleration can accelerate your Data Science. These two tools create a powerful backend that builds an optimized query plan and parallelizes execution on NVIDIA GPUs. Get started in Google Colab or locally. #datascience #polars #gpu #python"
YouTube Link 2025-04-25T19:27Z 193K followers, [----] engagements
"Office Hours - Nemotron Have questions on NVIDIA's Nemotron models Want to provide your thoughts on the models directly to NVIDIA RSVP to attend office hours and drop any questions you have on our Discord channel https://discord.com/channels/1019361803752456192/1407781691698708682 or in the comments below"
YouTube Link 2025-09-05T00:34Z 195K followers, [----] engagements
"AI Physics Deep Dive Industrial Engineering Live Stream Series Interested in AI Physics Join our "AI Physics Deep Dive" livestream to learn about the latest ML architectures for computational engineering workloads and for a hands-on tour of NVIDIA PhysicsNeMo including practical recipes of how to train and test the latest in AI Physics models. Well cover step by step: - A live demonstration of building and running NVIDIA PhysicsNeMo platform for industrial engineering problems such as CFDstructural analysis and more. - Walkthroughs of the pros and cons of using graph neural networks neural"
YouTube Link 2025-10-30T12:55Z 193K followers, [----] engagements
"Get Started with cuTile Python The release of NVIDIA CUDA [----] introduces tile-based programming for GPUs making it one of the most fundamental additions to GPU programming since CUDA was invented. Learn how you can write GPU tile kernels that allows you to write your algorithm at a higher level than a single instruction multiple thread (SIMT) model and the compiler and runtime handle the partitioning of work onto threads under the covers. Resources and Links: 🔗 cuTile Python GitHub Repository: https://github.com/NVIDIA/cutile-python 📖 Official cuTile Python Documentation:"
YouTube Link 2025-12-04T22:23Z 196K followers, [----] engagements
"NVIDIA DGX Station: Desktop Tour Watch this short video to see the highlights of the DGX OS Desktop environment. https://nvda.ws/2V7zA02"
YouTube Link 2019-03-28T18:59Z 193K followers, 12.3K engagements
"Why Is NVIDIA AI-Q the Top-Rated Open Portable AI Agent for Deep Research NVIDIA AI-Q is now #1 among open and portable AI agents on the Deep Research Bench leaderboard achieving a best-in-class score of [-----]. The portability of AI-Q enables organizations to build agents that operate anywheredata center or cloud. Agents that operate locally within enterprise data centers can reduce latency and improve security. Open and built with models like NVIDIA Llama Nemotron the AI-Q blueprint is completely customizable enabling organizations to adapt the deep research for their unique use cases. AI-Q"
YouTube Link 2025-08-04T16:59Z 195K followers, [----] engagements
"Course Introduction: How to Build a RAG Agent Build smarter RAG systems that reason adapt and retrieve information autonomously. This course takes you from traditional RAG to agentic RAG AI agents that go beyond simple retrieval to actively reason through complex information tasks. Learn the architecture build the pipeline and deploy your own RAG agent using NVIDIA tools. What you'll learn in the full module: How to Build RAG Agent https://developer.nvidia.com/topics/how-to-build-agentic-ai-rag Key differences between traditional and agentic RAG systems How to architect a complete RAG"
YouTube Link 2025-10-27T02:53Z 193K followers, [----] engagements
"Train AI Agents for CLI Tasks using Synthetic Data & Reinforcement Learning Nemotron Labs What if your computer-use agent could learn a new command-line tooloperating it safely without writing files or free-typing shell commands With NVIDIA Nemotron open models you can quickly train specialized agents for any CLI using synthetic data and reinforcement learningno usage logs required. Curious how it can be adapted for your own proprietary CLI environment Join us live for a developer-focused livestream. In this interactive livestream well cover: - A live demo: Generating synthetic training data"
YouTube Link 2025-11-22T04:10Z 194K followers, [--] engagements
"Getting started on NVIDIA-Powered Data Science Workstations Walk through getting started on NVIDIA-Powered Data Science Workstations powerful systems featuring pre-installed CUDA-X AI software libraries and NVIDIA Quadro RTX [----] GPUs. See a demo on how these systems unlock new levels of performance and productivity for data scientists. Learn more about RAPIDS: https://rapids.ai Learn more about Data Science Workstations: https://nvidia.com/data-science-workstation"
YouTube Link 2019-07-01T22:15Z 194K followers, 10K engagements
"What is Word Error Rate (WER) and how do I properly calculate it to benchmark ASR models Word Error Rateor WERmeasures how many words a speech-to-text system gets wrong compared to a human transcript. NVIDIAs open source automatic speech recognition (ASR) models Canary-Qwen-2.5B and Parakeet-TDT-0.6B-V2 which reflect the openness philosophy of Nemotron with open datasets weights and recipes hold top spots on the new ArtificialAnalysis (AA) ASR leaderboard for record WER. 🏆 Leaderboard ➡ https://artificialanalysis.ai/speech-to-text 📥 Canary Qwen 2.5B ➡"
YouTube Link 2025-09-25T18:13Z 190K followers, [----] engagements
"Dynamo KVBM - Managing Memory at Scale Got questions about KV cache management in your LLM deployment Join us for a session on Dynamo's KV Block Manager (KVBM)- a system that decouples memory management from run-time logic to enable memory-efficient high-throughput LLM systems. Well dive into architecture integration with LLM inference runtimes integration with NIXL and our roadmap. Come ready to chat drop your questions in the comments and learn more from the engineers building KVBM. Be part of the journey and contribute on github: https://bit.ly/dynamoKVBM"
YouTube Link 2025-10-28T01:05Z 190K followers, [--] engagements
"NVIDIA AI Tech Workshop at NeurIPS Expo [----] - Session 5: Applied Deep Learning This session from the NVIDIA AI Tech Workshop at NeurIPS Expo [----] highlighted by NVIDIA Research includes: - Building Speech Recognition with Synthetic Speech - Optimization of training neural collaborative filtering systems Presentation slides will be uploaded soon for reference"
YouTube Link 2018-12-05T19:30Z 189K followers, [----] engagements
"Deploy and Scale AI Workloads with NVIDIA Run:ai on Azure Kubernetes Service (AKS) NVIDIA Run:ai on Azure Kubernetes Service empowers organizations to unlock fast scalable and efficient AI infrastructure for large language models and generative AI applications. In this demo you will discover how NVIDIA Run:ai on Azure Kubernetes Service transforms deployment with its intelligent orchestration of GPU resources enabling real-time training and inference for enterprise workloads. The video highlights the seamless integration between NVIDIA Run:ai and Microsoft Azure making AI infrastructure"
YouTube Link 2025-10-30T16:27Z 190K followers, [---] engagements
"Ray Tracing Essentials Part 1: Basics of Ray Tracing In Part 1: Basics of Ray Tracing NVIDIA's Eric Haines runs through the basics of ray and path tracing. To begin he defines a ray and notes how it is useful for different operations in computer graphics. Rays can be cast to test for shadows for example. In [----] Whitted introduced the idea of recursive ray casting known as ray tracing. Cook and others in [----] explored how bursts of rays could create more elaborate effects such as soft shadows and glossy reflections. Kajiya introduced the Rendering Equation in [----] showing how it could be"
YouTube Link 2019-12-20T01:56Z 195K followers, 142K engagements
"Transforming AI NVIDIA GTC [----] Panel Hosted by Jensen Huang The Transforming AI panel from GTC [----] features the authors of Attention Is All You Need" the groundbreaking paper that introduced the transformer neural network architecture. Transformers have since dominated all areas of AI revolutionizing the industry. The discussion covers the following topics: The development and impact of the Transformer model. The evolution of computing and its democratization. The future of AI technology and its potential applications. The role of accelerated computing. The potential for AI to revolutionize"
YouTube Link 2024-04-08T23:30Z 194K followers, 117.6K engagements
"NVAITC Webinar: Introduction to Convolutional Neural Networks Understand and discuss implementations of common convolutional and residual neural networks. Learn more: https://developer.nvidia.com/deep-learning-examples"
YouTube Link 2020-11-30T17:07Z 189K followers, [----] engagements
"Train a Reasoning-Capable LLM in One Weekend Have you ever wanted to build your own reasoning models such as NVIDIA Nemotron but thought it was too complicated or required massive resources Think again. With NVIDIAs powerful tools and datasets you can train a small effective reasoning model in about [--] hours all on a single GPU. Explore a simple and computationally efficient recipe for training reasoning models with small amounts of training data curated from the Llama Nemotron Post-Training Dataset. Learn the strategy based on LoRA adapter training and the key considerations and"
YouTube Link 2025-07-30T16:14Z 191K followers, 16.8K engagements
"Implementing Real-time Vision AI Apps Using NVIDIA DeepStream SDK Learn how companies around the world are modernizing their existing infrastructure with IoT sensors such as cameras to extract rich insights. Whether its a patient fall detection monitoring system in a hospital understanding how traffic flows through a city or a retailer looking to understand customer purchasing sentiments and behavior real-time video analysis plays a pivotal role. Learn how various companies are building high-performance apps using DeepStream SDK for real-time video and image understanding. We'll show you the"
YouTube Link 2021-01-16T16:30Z 190K followers, 30.4K engagements
"NVIDIA Jetson Partner Stories: Jibo Makes Its Robot More Social with the Jetson Platform The Jetson TK1 has been an accelerant to the design and development process of the Jibo the world's first consumer social robot for the home. The increased processing power of the Jetson TX1 will help the creators of Jibo to do some very special things with vision processing beyond simple facial recognition such as the ability to leverage more sophisticated object detection leading to a faster and more responsive robot for consumers"
YouTube Link 2015-11-11T17:03Z 189K followers, 15.1K engagements
"Quansight and RAPIDS Push Data Science Performance Travis Oliphant CEO of Quansight and early contributor to RAPIDS explains the work being done to integrate GPUs with data"
YouTube Link 2018-11-07T23:03Z 188K followers, [----] engagements
"Run NVIDIA GPU Cloud Containers in Singularity This video covers (1) Installing and configuring Singularity (2) Pulling and saving NGC containers and (3) Running NGC containers in an HPC environment. Learn more: https://nvda.ws/2QXzzKm"
YouTube Link 2018-10-18T17:15Z 191K followers, [----] engagements
"GTC Silicon Valley Preview: Media & Entertainment NVIDIAs GPU Technology Conference (GTC) is the premier AI and deep learning conference providing training insights and direct access to media and entertainment experts. Here's a preview of the some of the Media & Entertainment sessions you can attend. https://nvda.ws/2CWq34u"
YouTube Link 2019-01-30T21:56Z 188K followers, [----] engagements
"From a Robot's Perspective: Teaching Robots to Grasp We are teaching our robot arm to grasp commonly used objects with diverse appearances. We trained our models purely in simulation and they now achieve 88% success rate in the real world without any extra steps. https://arxiv.org/pdf/1905.10520.pdf"
YouTube Link 2019-08-28T20:23Z 162K followers, [----] engagements
"How to Autoscale Efficiently with Disaggregated Serving How can you use GPUs efficiently with disaggregated serving This video explains how NVIDIA Dynamo and its open-source planner help you serve models at large scale while meeting your service level objectives (SLOs) like time to first token and inter-token latency. Learn how prefill and decode steps are split across dedicated GPUs and why scaling shouldnt be reactionary. With time series forecasting NVIDIA Dynamo automatically scales the number of prefill or decode machines based on workload demands whether youre summarizing long documents"
YouTube Link 2025-08-12T17:01Z 192K followers, [----] engagements
"Real-Time Digital Twin - Deep Dive Industrial Engineering Livestream Series 📱 Join our Real-Time Digital Twin (RTDT) Deep Dive livestream to learn about how to build RTDTs using Omniverse APIs kit-CAE extension and NVIDIA PhysicsNeMo. This session includes live walk-through of the code base and examples for automotive aerospace and data-center design. Well cover step by step: A live demonstration of building and using the NVIDIA Omniverse kit-CAE extension for industrial engineering problems integrating data from CFD structural analysis and more. Walkthroughs of the different data importers"
YouTube Link 2025-11-19T03:48Z 194K followers, [--] engagements
"XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies New #NVIDIAResearch Paper: XCube (X3): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies by Xuanchi Ren Jiahui Huang Xiaohui Zeng Ken Museth Sanja Fidler Francis Williams Abstract: We present X3 (pronounced XCube) a novel generative model for high-resolution sparse 3D voxel grids with arbitrary attributes. Our model can generate millions of voxels with a finest effective resolution of up to [-----] in a feed-forward fashion without time-consuming test-time optimization. To achieve this we employ a"
YouTube Link 2023-12-08T16:46Z 189K followers, [----] engagements
"Simplicits: Mesh-Free Geometry-Agnostic Elastic Simulation NVIDIA Research The proliferation of 3D representations from explicit meshes to implicit neural fields and more motivates the need for simulators agnostic to representation. We present a data- mesh- and grid-free solution for elastic simulation for any object in any geometric representation undergoing large nonlinear deformations. We note that every standard geometric representation can be reduced to an occupancy function queried at any point in space and we define a simulator atop this common interface. For each object we fit a small"
YouTube Link 2024-07-27T17:00Z 192K followers, [----] engagements
"NVIDIA Jetson Partner Stories: Fellow Robots -- LoweBot NAVii Fellow Robots CTO Thavidu Ranatunga presents LoweBot a Jetson TX1-powered NAVii robot designed to guide Lowes Hardware customers to their item of choice via voice recognition or an onboard touchscreen display. LoweBot navigates the aisles autonomously and in an often Wi-Fi denied environment using cameras and odometry alone to find its destination. During off-hours LoweBot helps store employees by tracking depleted or missing inventory with a high-resolution camera and LED light source recognizing items using a Deep Learning-based"
YouTube Link 2017-03-08T02:09Z 193K followers, 35.8K engagements
"Accelerated Machine Learning with XGBoost on NVIDIA GPUs Accelerated Data Science Series Learn how to get a 25x performance increase of XGBoost training inference and feature engineering with pandasall accelerated with RAPIDS running in Google Colab. In this demo GPUs are used to accelerate workflows using real-world taxi fare data build baseline models and incrementally improve model accuracy with advanced feature engineering. All of this is done directly in Google Colab where RAPIDS and XGBoost are pre-installed for seamless access. 📗 Try this yourself on Google Colab:"
YouTube Link 2025-02-21T20:47Z 179K followers, [----] engagements
"Deep Reinforcement Learning in Robotics with NVIDIA Jetson Discover the creation of autonomous reinforcement learning agents for robotics in this NVIDIA Jetson webinar. Learn about modern approaches in deep reinforcement learning for implementing flexible tasks and behaviors like pick-and-place and path planning in robots. Learn more at https://developer.nvidia.com/embedded/twodaystoademo#advanced-deep_reinforcement Buy the latest Jetson products at https://developer.nvidia.com/buy-jetson"
YouTube Link 2019-06-11T17:08Z 192K followers, 21.7K engagements
"Get Started with NVIDIA IGX Orin Developer Kit for Scalable Edge AI Solutions Learn how to quickly configure your NVIDIA IGX Orin Developer Kit an industrial-grade platform for developing and deploying real-time edge AI inference applications. Watch this video for an overview of the system and the different ways you can use it. Youll also learn how to: ⚬ Unbox and power up your system ⚬ Set up your system ⚬ Install the NVIDIA Holoscan SDK ⚬ Run your first Holoscan application Discover more about NVIDIA IGX Orin: https://www.nvidia.com/en-us/edge-computing/products/igx/ Read the NVIDIA IGX"
YouTube Link 2023-10-30T17:39Z 194K followers, 10.1K engagements
"Google's Gemma2 SLM on NVIDIA Jetson Orin Nano: The Future of Conversational Edge AI Dive into Google's Gemma2 SLM on Jetson Orin Nano with these easy beginner-friendly demoseven if you have ZERO experience with Jetson In this video Ill walk you through simple steps to bring powerful conversational AI to life on a small efficient device. From setup to real-time interaction see how easy it is to get started with advanced AI at the edge. Heres what youll learn: - Step-by-step setup for Gemma2 SLM on Jetson Orin Nano perfect for beginners. - Real-time conversational AI demos including"
YouTube Link 2024-10-28T22:09Z 188K followers, 14.6K engagements
"DGX Spark Live: Installation & First Run Guide for Robotics Developers 📱 This is the essential live session for robotics developers ready to leverage NVIDIA Isaac Sim on the powerful DGX Spark platform. We'll guide you through the initial steps to get your high-fidelity simulation environment up and running on the aarch64 architecture. What You'll Learn & Do: Installation Walkthrough: Follow along with the official documentation process including the specific details for the DGX Spark where the ARM build is generated by default. Launch & Verification: We'll show you how to properly launch"
YouTube Link 2025-12-09T00:35Z 195K followers, [--] engagements
"How to Build an AI Agent: Course Introduction Learn to build autonomous AI agents that plan reason and solve complex problems. This introduction covers Agentic AI Foundations from core concepts to building your first working agent. We'll explore what makes AI systems "agentic" real-world applications and design principles that matter. What you'll learn in the full module: https://developer.nvidia.com/topics/how-to-build-an-ai-agent What Agentic AI is and how it differs from single-shot generation How agents plan reason and tackle multi-step problems autonomously Real-world examples across"
YouTube Link 2025-10-27T07:15Z 193K followers, [----] engagements
"Turn Any PC into a SMPTE ST [----] Compliant Source with NVIDIA RivermaxDisplay Simplify your transition to SMPTE ST [----] with NVIDIA RivermaxDisplay. See how this software application turns any PC into a SMPTE ST [----] compliant source with NMOS support. Try NVIDIA RivermaxDisplay Today: https://nvda.ws/4aFxAnE Join the NVIDIA Developer Program: https://nvda.ws/3OhiXfl Read and subscribe to the NVIDIA Technical Blog: https://nvda.ws/3XHae9F #NVIDIARivermaxDisplay #SMPTEST2110 #NVIDIA"
YouTube Link 2024-01-03T18:18Z 194K followers, [----] engagements
"Digital Humans and AI Design with NVIDIA NIM on RTX PCs Microsoft Build [----] Discover how to create powerful agentic workflows for RTX AI PCsquickly efficiently and backed by NVIDIA NIM microservices. With NVIDIA NIM and RTX PCs and Workstations you can quickly build advanced AI workflows that are fast local and leverage the AI model innovations. We'll showcase and guide developers on the use of NVIDIA NIM microservices to kickstart AI experimentation. Learn more about AI on NVIDIA RTX PCs: https://developer.nvidia.com/ai-apps-for-rtx-pcs Access AI Models for RTX AI PCs:"
YouTube Link 2025-06-03T17:16Z 192K followers, [----] engagements
"Training and Inferencing with NVIDIA AI Enterprise on VMware vSphere NVIDIA AI Enterprise is a comprehensive suite of software that's optimized certified and supported on VMware vSphere [--] and industry-leading servers. This end-to-end platform is designed to provide the easiest solution for enterprises to enable AI in their core data center. In this demo we'll show some examples of the features and capabilities of this stack as well as some example workloads such as multi-node AI training as well as multiple inferencing workloads. Learn more about NVIDIA AI Enterprise here:"
YouTube Link 2021-09-15T18:57Z 194K followers, [----] engagements
"NVIDIA Developer How To Series: Accelerating Recommendation Systems with TensorRT NVIDIA TensorRT is a high-performance deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications. You can import trained models from every deep learning framework into TensorRT and easily create highly efficient inference engines that can be incorporated into larger applications and services. This video demonstrates the steps for using NVIDIA TensorRT to optimize a Multilayer Perceptron based Recommender System that is trained on the"
YouTube Link 2018-08-03T22:56Z 188K followers, [----] engagements
"NVIDIA Announces Aerial A Software-defined Stack for Telco Systems At Mobile World Congress Los Angeles NVIDIA unveiled Aerial a set of SDKs that enables GPU-accelerated software defined 5G wireless radio access network (RAN). Today NVIDIA Aerial provides two critical new SDKs: CUDA Virtual Network Functions (cuVNF) and CUDA Baseband (cuBB). These SDKs simplify building highly programmable and scalable software-defined 5G RANs using commercial off-the-shelf (COTS) servers with NVIDIA GPUs. https://news.developer.nvidia.com/cubb-software-defined-stack-for-telco/"
YouTube Link 2019-10-21T23:49Z 194K followers, [----] engagements
"Unified Whole-Body Control for Humanoids with MaskedMimic from NVIDIA Project GR00T MaskedMimic is part of NVIDIA Project GR00T for enabling development of generalized humanoid robots. This research work contributes to GR00T-Control a suite of advanced motion planning and control libraries models policies and reference workflows for whole-body control. MaskedMimic is a single unified controller for physically simulated humanoids. Our system is capable of generating a wide range of motions across diverse terrains from intuitive user-defined intents. In this work we show several applications"
YouTube Link 2024-12-04T00:31Z 193K followers, [----] engagements
"SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation Physically-simulated models for human motion can generate high-quality responsive character animations often in real-time. Natural language serves as a flexible interface for controlling these models allowing expert and non-expert users to quickly create and edit their animations. Many recent physics-based animation methods including those that use text interfaces train control policies using reinforcement learning (RL). However scaling these methods beyond several hundred motions has remained"
YouTube Link 2024-07-28T21:00Z 196K followers, [----] engagements
"Accelerate Your End-to-End AI Data Analytics and HPC Workflows with the NVIDIA NGC Catalog The NGC catalog is a hub of GPU-optimized AI high-performance computing (HPC) and data analytics software that simplifies and accelerates end-to-end workflows. Explore NGC: https://nvda.ws/3liOEYA With enterprise-grade containers pre-trained AI models and industry-specific SDKs that can be deployed on premises in the cloud or at the edge enterprises can build best-in-class solutions and deliver business value faster than ever before. Learn More: https://nvda.ws/3dpy6JC Contact Us:"
YouTube Link 2021-04-14T17:30Z 194K followers, 17.9K engagements
"Set Up a Data Flywheel to Self-Optimize AI Models and Agents The NVIDIA Data Flywheel Blueprint provides a systematic automated solution to refine and redeploy optimized models that maintain accuracy targets while lowering resource demands. This blueprint establishes a self-reinforcing data flywheel using production traffic logs and institutional knowledge to continuously improve model efficiency and accuracy. 00:00 - 01:20 Introduction and System Overview 01:21 - 02:10 Architecture and Orchestrator 02:11 - 03:00 Model Evaluation and Cost Optimization 03:01 - 04:00 Deployment and Cloud Setup"
YouTube Link 2025-07-23T16:07Z 191K followers, [---] engagements
"How to Deploy Hugging Face Models Using a Single NVIDIA NIM This video walks you through how to deploy different LLMs from Hugging Face with a single LLM-agnostic NVIDIA NIM container. NIM microservices are your go-to for deploying the latest AI models from NVIDIA and the community quickly and reliably. They leverage NVIDIA TensorRT-LLM to accelerate and optimize inference alongside popular community backends like vLLM and SGLang to seamlessly deploy a massive range of community LLMs. Get ready for high-performance inference on NVIDIA GPUs with rapid reliable deployment for a broad range of"
YouTube Link 2025-07-01T18:32Z 193K followers, [----] engagements
"NVIDIA DGX Station: Unboxing Watch this short video to see how easy it is to unbox a NVIDIA DGX Station https://nvda.ws/2V7zA02"
YouTube Link 2019-03-28T18:57Z 195K followers, 11.7K engagements
"NVIDIA Networking: Learn the Basics of LinkX Cables and Transceivers The NVIDIA LinkX product lineup encompasses a wide range of interconnect solutions including cables and transceivers all aimed at maximizing the efficiency of data center operations. In this video we'll take a look at the various types of LinkX solutions on offer and highlight their features and abilities. To learn more about NVIDIA Data Center Networking for Administrators: https://academy.nvidia.com/en/training-by-topic/training_by_topic=10"
YouTube Link 2023-08-14T10:22Z 190K followers, [----] engagements
"Create a RAG Chatbot Using NVIDIA AI Workbench In this video youll learn how to create your own retrieval-augmented generation (RAG) chatbot using NVIDIA AI Workbench. With this unified easy-to-use developer toolkit you can create test and customize pretrained AI models on NVIDIA RTX-powered AI workstations. Start your AI projects locally on workstations and scale them effortlessly to any data center or cloud with just a few clicks. Start your AI projects locally on workstations and scale them effortlessly to any data center or cloud with just a few clicks. Learn more about NVIDIA AI"
YouTube Link 2024-10-10T17:24Z 191K followers, [----] engagements
"Jetson AI Fundamentals - S1E1 - First Time Setup with JetPack Learn to set up the NVIDIA Jetson Nano Developer Kit for the first time with JetPack. This enables you to load Docker container applications for projects in Jetson AI Fundamentals. 00:00:00 - Introduction - Setting up Jetpack with Jetson Nano 00:00:33 - Jetson Nano Developer Kit 00:01:56 - Step 1: Flashing OS onto an SD card with a computer 00:08:18 - Step 2: Configure OS on Jetson Nano 00:10:53 - Setting SWAP to 4GB 00:13:44 - Conclusion Getting Started with AI on Jetson Nano - https://nvidia.com/dli Jetson AI Fundamentals -"
YouTube Link 2020-10-13T20:44Z 189K followers, 266.9K engagements
"NVIDIA GPU-accelerated Path Rendering - SVG Part [--] Mark Kilgard gives a short demonstration of NVIDIA's GPU-Accelerated Path Rendering this is part three of a three part series on the different ways to render SVG samples using the new NVIDIA GPU-Accelerated Path Rendering SDK Read more at http://developer.nvidia.com/nv-path-rendering"
YouTube Link 2011-08-26T04:03Z 193K followers, [----] engagements
"How Accelerated Compute is Driving Scientific Discovery For [--] years weve been building CUDA-X libraries to accelerate discovery across scientific disciplines. Today with more than [---] libraries and frameworks CUDA-X is the foundation for some of the worlds fastest breakthroughs. In this video we demonstrate how CUDA-X is reshaping science today and creating the innovations needed to power the latest scientific discoveries. Join us at Supercomputing [----] to explore our latest contributions to scientific discovery. Check out the links below to learn more Life Science: Driving Toward"
YouTube Link 2025-11-10T21:56Z 195K followers, [----] engagements
"Reinvent Video Conferencing Content Creation & Streaming with AI Using NVIDIA Maxine NVIDIA Maxine is a GPU-accelerated SDK with state-of-the-art AI features for developers to build virtual collaboration and content creation applications such as video conferencing and live streaming. Developers from video conferencing content creation and streaming providers such as Notch Headroom Be.Live and Touchcast are using the Maxine SDK to create real-time video-based experiences easily deployed to PCs data centers or in the cloud. Learn more about NVIDIA Maxine: https://nvda.ws/3cSIRVC"
YouTube Link 2021-04-14T17:29Z 195K followers, [----] engagements
"DGX Spark: Powering EPRIs AI Research 📱 Join EPRI a nonprofit research organization dedicated to advancing the science that powers a reliable affordable and resilient energy future. Discover how EPRI is innovating with NVIDIA DGX Spark to run advanced openweight models such as gptoss120b and Qwen3Embedding8B to drive a secure AI-powered document research assistant. Get started with DGX Spark: https://nvda.ws/4o2rDHn"
YouTube Link 2025-11-11T01:46Z 192K followers, [--] engagements
"From Data to Deployment: Building European AI at Scale Improved audio version available here: https://youtu.be/KwSwxb2GBOM Moderated by tech futurist and AI expert Sarah Rojewsky join us live with technical experts from DeepL and NVIDIA as we explore the journey of building sovereign AI capabilities in Europe. Get a behind-the-scenes look at the technical and operational challenges of large-scale AI training and inference and discover the steps involved in developing robust AI products from choosing the right technology to model deployment. Our moderators will be on hand to answer questions"
YouTube Link 2025-10-25T01:30Z 193K followers, [----] engagements
"What is the most underrated research area in AI world foundation models 🤔 Ming-Yu Liu VP of Research at NVIDIA responds with insights into how it wont be humans who will benefit most from whats coming in [----]. Watch his key takeaways from #NeurIPS2025 👀"
YouTube Link 2025-12-05T15:01Z 195K followers, [----] engagements
"Cinematic Climate Visualization with NVIDIA Omniverse #Climate simulations produce large amounts of inherently 3D data and yet the analysis is often limited to 2D projections. In addition to climate #scientists climate data also needs to be accessible by laypersons. Therefore intuitive photorealistic renderings are desirable. The NVIDIA Omniverse platform enables the fusion of large-scale scientific data with cinematic #rendering capabilities allowing for interactive exploration of complex climate phenomena. In this demo we'll show the power of Omniverse to visualize high-resolution climate"
YouTube Link 2020-11-11T19:19Z 193K followers, 41.8K engagements
"Train AI Agents for CLI Tasks using Synthetic Data & Reinforcement Learning Nemotron Labs 📱 What if your computer-use agent could learn a new command-line tooloperating it safely without writing files or free-typing shell commands With NVIDIA Nemotron open models you can quickly train specialized agents for any CLI using synthetic data and reinforcement learningno usage logs required. Curious how it can be adapted for your own proprietary CLI environment Join us live for a developer-focused livestream. In this interactive livestream well cover: - A live demo: Generating synthetic training"
YouTube Link 2025-11-22T04:10Z 194K followers, [--] engagements
"Distributed Inference 101: Monitoring Data Center Performance and Metrics Learn the fundamentals of monitoring performance of your Dynamo deployment at scale using Grafana dashboard. 📥 Explore and download https://github.com/ai-dynamo/dynamo #Inference #datacenter #AI #GTC25 ➡ Join the NVIDIA Developer Program: https://nvda.ws/3OhiXfl ➡ Read and subscribe to the NVIDIA Technical Blog: https://nvda.ws/3XHae9F"
YouTube Link 2025-03-18T18:46Z 193K followers, [----] engagements
"Ray Tracing Essentials Part 2: Rasterization versus Ray Tracing In Part 2: Basics of Ray Tracing NVIDIA's Eric Haines runs through the basics of rasterization and ray tracing. For decades rasterization also known as the Z-buffer has been the method of choice for rendering 3D images at interactive rates. This talk contrasts and compares it with ray tracing showing how the operations have a certain symmetry. More details about this video can be found here: http://bit.ly/nvrttalk2 You can watch the all of the videos in the series on this YouTube Playlist:"
YouTube Link 2020-02-27T22:06Z 192K followers, 163.1K engagements
"How to Insert HTML Documents into a Multimodal Retriever Collection Using NVIDIA NIM Simplify your multimodal retrieval systems with NVIDIA NIM. This guide walks you through building a #VLM-based system with LangGraph plus #Llama models. Fast efficient and ideal for experimental pipelines. In this video you will learn how to insert a set of HTML documents into a multimodal retriever collection. 📝 Learn more about NIM: https://nvda.ws/431sEb4 📝 Find the source code in the NVIDIA Generative AI Examples repo on GitHub: https://nvda.ws/417z067 ➡ Join the NVIDIA Developer Program:"
YouTube Link 2025-02-25T00:01Z 161K followers, [---] engagements
"AI Startup Speeds Disease Research With Lab in the Loop BrainStorm Therapeutics a San Diego-based startup is accelerating the development of cures for neurological disorders using AI-powered computational drug discovery paired with lab experiments using organoids: tiny 3D bundles of brain cells created from patient-derived stem cells. This hybrid iterative method where clinical data and AI models inform one another to accelerate drug development is known as lab in the loop"
YouTube Link 2025-04-22T12:55Z 194K followers, [----] engagements
"7 Questions with Jeremy Howard (Answer.ai fast.ai) on Open Source AI and Agents Jeremy Howard the founder of fast.ai and co-founder of Answer.ai shares his thoughts on the future of open source AI the rise of AI agents and why humans should stay at the center of innovation. Interview took place after his keynote at the PyTorch Conference [----] in San Francisco CA"
YouTube Link 2025-10-24T21:23Z 190K followers, [---] engagements
"Cosmos Cookbook Recipe: Sports Video Generation with LoRA Post Training This NVIDIA Cosmos Cookbook serves as a practical guide to the Cosmos open models offering step-by-step workflows technical recipes and concrete examples for building adapting and deploying WFMs. Todays recipe shows you how to generate and build realistic physically accurate and rule-aware sports videos with smooth player motions using LoRA post-trained on Cosmos Predict [---]. Read the full recipe 📖 https://nvidia-cosmos.github.io/cosmos-cookbook/recipes/post_training/predict2_5/sports/post_training.html Download Cosmos"
YouTube Link 2025-12-03T21:01Z 195K followers, [----] engagements
"Introduction of disaggregated serving in TensorRT-LLM Learn from our experts about disaggregated serving in TRT-LLM. You will learn about the potential benefits of disaggregated serving about how to run disaggregated serving with TensorRT-LLM and about current performance for popular models"
YouTube Link 2025-09-18T00:11Z 190K followers, [----] engagements
"Top 5: GPU-Accelerated Supercomputers & More In this weeks edition of the Developer Top [--] we revisit the top developer stories of the week. From a new GPU-accelerated supercomputer in France new AI NGC containers to cutting edge medical research. https://nvda.ws/2RRvmfS"
YouTube Link 2019-01-26T00:54Z 194K followers, [----] engagements
"Jetson AI Fundamentals - S1E2 - Hello Camera Get started with the camera widgets in the free DLI course "Getting Started with AI on Jetson Nano". You'll learn to securely log in to your NVIDIA Jetson Nano and launch the course from a Docker container. 00:00:00 - Introduction - Setting up Docker container and webcam for DLI course 00:00:28 - DLI course overview 00:01:04 - Getting Started with AI on Jetson Nano 00:02:55 - Headless device mode 00:08:26 - Inside the container 00:09:30 - Inside Jupyter lab environment 00:14:28 - Conclusion Getting Started with AI on Jetson Nano -"
YouTube Link 2020-10-07T02:32Z 189K followers, 154.6K engagements
Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing