[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @BennettBui1 Bennett Bui ./ 🌐 Bennett Bui ./ 🌐 posts on X about gradient, inference, deai, open ai the most. They currently have XXXXX followers and XX posts still getting attention that total XXXXX engagements in the last XX hours. ### Engagements: XXXXX [#](/creator/twitter::1558223799036055552/interactions)  - X Week XXXXX +124% - X Month XXXXX -XX% ### Mentions: X [#](/creator/twitter::1558223799036055552/posts_active)  - X Week XX +400% - X Month XX +111% ### Followers: XXXXX [#](/creator/twitter::1558223799036055552/followers)  - X Week XXXXX -XX% - X Month XXXXX -XX% ### CreatorRank: XXXXXXX [#](/creator/twitter::1558223799036055552/influencer_rank)  ### Social Influence [#](/creator/twitter::1558223799036055552/influence) --- **Social category influence** [technology brands](/list/technology-brands) XXXXX% [cryptocurrencies](/list/cryptocurrencies) XXXXX% [finance](/list/finance) XXXXX% [stocks](/list/stocks) XXXX% **Social topic influence** [gradient](/topic/gradient) 50%, [inference](/topic/inference) 33.33%, [deai](/topic/deai) 16.67%, [open ai](/topic/open-ai) 16.67%, [decentralized](/topic/decentralized) 16.67%, [solana](/topic/solana) 16.67%, [nvidia gpus](/topic/nvidia-gpus) 8.33%, [realtime](/topic/realtime) 8.33%, [beta](/topic/beta) 8.33%, [gpu](/topic/gpu) XXXX% **Top accounts mentioned or mentioned by** [@gradienthq](/creator/undefined) [@rdhxlzrdyy](/creator/undefined) **Top assets mentioned** [Solana (SOL)](/topic/solana) [Bittensor (TAO)](/topic/bittensor) ### Top Social Posts [#](/creator/twitter::1558223799036055552/posts) --- Top posts by engagements in the last XX hours "Heterogeneous Hardware Integration in Gradient Gradient Network is a pioneering DeAI platform distinguished by its ability to integrate diverse hardware such as NVIDIA GPUs AMD and Apple Silicon creating an efficient distributed AI inference environment without relying on centralized infrastructure. Challenges and Solutions Traditional AI systems are limited by vendor-specific technologies (NVIDIA CUDA AMD ROCm Apple MLX) causing difficulties in distributed environments. Gradient decompose large models (like Qwen3-235B) into small parts running them on non-uniform devices with high fault"  [@BennettBui1](/creator/x/BennettBui1) on [X](/post/tweet/1949720840611987898) 2025-07-28 06:37:27 UTC 1286 followers, XXX engagements "4. Gradient vs Akash: AI-Specific And Accessible Akash offers general cloud compute via GPU marketplaces but with complex setups. Gradient is user-friendly with browser-based Sentry Nodes (over 20K in beta). Advantage: Lattica and Parallax optimize for AI with encryption and scalability reducing real-time latency"  [@BennettBui1](/creator/x/BennettBui1) on [X](/post/tweet/1948606184946368544) 2025-07-25 04:48:12 UTC 1814 followers, XX engagements "Weak Privacy in Centralized AI and the Decentralized Future Sam Altman CEO of OpenAI revealed that users share personal details with ChatGPT unaware that these chats can be used as legal evidence. This highlights a major flaw in centralized AI: user data stored on central servers is vulnerable to legal access or misuse. Centralized models like ChatGPT rely on single entities controlling data increasing risks of breaches or exploitation. In contrast decentralized AI ( Gradient ) using blockchain or distributed systems empowers users with end-to-end encrypted data minimizing legal and security"  [@BennettBui1](/creator/x/BennettBui1) on [X](/post/tweet/1949418769950072954) 2025-07-27 10:37:07 UTC 1286 followers, 1692 engagements "Lattica supports resilient data motion (2 billion connections across XXX regions); Parallax decomposes large models fault-tolerant and XX% cheaper than AWS. These features democratize AI surpassing competitors' latency and complexity issues. Gradient leads in edge-based inference promising to transform DeAI with Solana integration and expanding protocols"  [@BennettBui1](/creator/x/BennettBui1) on [X](/post/tweet/1948606189228752986) 2025-07-25 04:48:13 UTC 1808 followers, XX engagements "2. Gradient vs Petals: Superior Performance Petals enables running large LLMs on volunteer GPUs based on Hugging Face. Gradient outperforms with Parallax: End-to-end latency 3.1x lower and inter-token latency 5.3x lower than Petals (Qwen2.5-72B). Advantage: Lattica provides resilient connections (530K requests from XXX regions); Parallax adds verifiable outputs and privacy"  [@BennettBui1](/creator/x/BennettBui1) on [X](/post/tweet/1948606175546933502) 2025-07-25 04:48:10 UTC 1809 followers, XX engagements "1. Gradient vs Bittensor: Inference Vs Training Bittensor excels in training ML models through subnets and peer-to-peer incentives with over XX subnets. Gradient prioritizes inference on edge devices reducing latency and enhancing privacy. Advantage: Lattica moves data quickly (98ms latency) supporting AI agents; Parallax decomposes large models saving costs and ensuring local security"  [@BennettBui1](/creator/x/BennettBui1) on [X](/post/tweet/1948606170878673006) 2025-07-25 04:48:09 UTC 1808 followers, XX engagements "Gradient and other AI Projects: Advantages of Lattica And Parallax In the exploding landscape of decentralized AI (DeAI) Gradient emerges as a pioneering platform on the Solana blockchain focusing on open AI infrastructure based on edge devices. With its two core protocols Lattica (P2P data transmission) and Parallax (distributed inference) Gradient aims to distribute intelligence globally without relying on large data centers competing with Bittensor Petals Gensyn and Akash. @Gradient_HQ"  [@BennettBui1](/creator/x/BennettBui1) on [X](/post/tweet/1948606165954560333) 2025-07-25 04:48:07 UTC 1286 followers, 1326 engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
@BennettBui1 Bennett Bui ./ 🌐
Bennett Bui ./ 🌐 posts on X about gradient, inference, deai, open ai the most. They currently have XXXXX followers and XX posts still getting attention that total XXXXX engagements in the last XX hours.
Engagements: XXXXX #
- X Week XXXXX +124%
- X Month XXXXX -XX%
Mentions: X #
- X Week XX +400%
- X Month XX +111%
Followers: XXXXX #
- X Week XXXXX -XX%
- X Month XXXXX -XX%
CreatorRank: XXXXXXX #
Social Influence #
Social category influence technology brands XXXXX% cryptocurrencies XXXXX% finance XXXXX% stocks XXXX%
Social topic influence gradient 50%, inference 33.33%, deai 16.67%, open ai 16.67%, decentralized 16.67%, solana 16.67%, nvidia gpus 8.33%, realtime 8.33%, beta 8.33%, gpu XXXX%
Top accounts mentioned or mentioned by @gradienthq @rdhxlzrdyy
Top assets mentioned Solana (SOL) Bittensor (TAO)
Top Social Posts #
Top posts by engagements in the last XX hours
"Heterogeneous Hardware Integration in Gradient Gradient Network is a pioneering DeAI platform distinguished by its ability to integrate diverse hardware such as NVIDIA GPUs AMD and Apple Silicon creating an efficient distributed AI inference environment without relying on centralized infrastructure. Challenges and Solutions Traditional AI systems are limited by vendor-specific technologies (NVIDIA CUDA AMD ROCm Apple MLX) causing difficulties in distributed environments. Gradient decompose large models (like Qwen3-235B) into small parts running them on non-uniform devices with high fault"
@BennettBui1 on X 2025-07-28 06:37:27 UTC 1286 followers, XXX engagements
"4. Gradient vs Akash: AI-Specific And Accessible Akash offers general cloud compute via GPU marketplaces but with complex setups. Gradient is user-friendly with browser-based Sentry Nodes (over 20K in beta). Advantage: Lattica and Parallax optimize for AI with encryption and scalability reducing real-time latency" @BennettBui1 on X 2025-07-25 04:48:12 UTC 1814 followers, XX engagements
"Weak Privacy in Centralized AI and the Decentralized Future Sam Altman CEO of OpenAI revealed that users share personal details with ChatGPT unaware that these chats can be used as legal evidence. This highlights a major flaw in centralized AI: user data stored on central servers is vulnerable to legal access or misuse. Centralized models like ChatGPT rely on single entities controlling data increasing risks of breaches or exploitation. In contrast decentralized AI ( Gradient ) using blockchain or distributed systems empowers users with end-to-end encrypted data minimizing legal and security" @BennettBui1 on X 2025-07-27 10:37:07 UTC 1286 followers, 1692 engagements
"Lattica supports resilient data motion (2 billion connections across XXX regions); Parallax decomposes large models fault-tolerant and XX% cheaper than AWS. These features democratize AI surpassing competitors' latency and complexity issues. Gradient leads in edge-based inference promising to transform DeAI with Solana integration and expanding protocols" @BennettBui1 on X 2025-07-25 04:48:13 UTC 1808 followers, XX engagements
"2. Gradient vs Petals: Superior Performance Petals enables running large LLMs on volunteer GPUs based on Hugging Face. Gradient outperforms with Parallax: End-to-end latency 3.1x lower and inter-token latency 5.3x lower than Petals (Qwen2.5-72B). Advantage: Lattica provides resilient connections (530K requests from XXX regions); Parallax adds verifiable outputs and privacy" @BennettBui1 on X 2025-07-25 04:48:10 UTC 1809 followers, XX engagements
"1. Gradient vs Bittensor: Inference Vs Training Bittensor excels in training ML models through subnets and peer-to-peer incentives with over XX subnets. Gradient prioritizes inference on edge devices reducing latency and enhancing privacy. Advantage: Lattica moves data quickly (98ms latency) supporting AI agents; Parallax decomposes large models saving costs and ensuring local security" @BennettBui1 on X 2025-07-25 04:48:09 UTC 1808 followers, XX engagements
"Gradient and other AI Projects: Advantages of Lattica And Parallax In the exploding landscape of decentralized AI (DeAI) Gradient emerges as a pioneering platform on the Solana blockchain focusing on open AI infrastructure based on edge devices. With its two core protocols Lattica (P2P data transmission) and Parallax (distributed inference) Gradient aims to distribute intelligence globally without relying on large data centers competing with Bittensor Petals Gensyn and Akash. @Gradient_HQ" @BennettBui1 on X 2025-07-25 04:48:07 UTC 1286 followers, 1326 engagements