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@ivnardini Ivan Nardini
Ivan Nardini posts on X about $googl, 5x, create a, deploy the most. They currently have XXXXX followers and XXX posts still getting attention that total XXX engagements in the last XX hours.
Engagements: XXX #
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- X Month XXXXX -XX%
- X Months XXXXXXX +4,693%
- X Year XXXXXXX +25,482%
Mentions: X #
- X Week X -XX%
- X Month XX -XX%
- X Months XXX +657%
- X Year XXX +5,850%
Followers: XXXXX #
- X Week XXXXX +0.95%
- X Month XXXXX +2.60%
- X Months XXXXX +73%
- X Year XXXXX +272%
CreatorRank: XXXXXXXXX #
Social Influence #
Social category influence stocks technology brands
Social topic influence $googl, 5x, create a, deploy, infrastructure
Top assets mentioned Alphabet Inc Class A (GOOGL)
Top Social Posts #
Top posts by engagements in the last XX hours
"Great reading on how to integrate your preferred runtime with Vertex AI Agent Engine platform capabilities"
X Link @ivnardini 2025-10-14T20:18Z 1168 followers, 1452 engagements
"🚀 vLLM on TPU just got a massive upgrade Google and vLLM have announced a new unified backend for vLLM TPU using tpu-inference. It uses a single JAXXLA lowering path to run both PyTorch and JAX models performantly on TPUs. TLDR: XX% more throughput for PyTorch models (no code changes) New RPA v3 kernel: more flexible & XX% faster SPMD by Default: native XLA optimizations. Up to 5x perf gains on Llama3-8B Check out the full blog and try it on Vertex AI with the new vLLM TPU container"
X Link @ivnardini 2025-10-16T21:00Z 1169 followers, XXX engagements
"🚀 Deploying agents on Vertex AI Agent Engine with Terraform Vertex AI released the google_vertex_ai_reasoning_engine Terraform resource to deploy agents built with custom classes or the agentic frameworks like ADK directly. TLDR: 📦 Package: Just cloudpickle your agent create a requirements.txt tar your dependencies and you're set. 🔒 Secure: Built with support for VPC-SC least-privilege IAM and private networking. 🚀 Serverless: After you run terraform apply Agent Engine handles everything elsescaling patching and availability. Check out the notebook and blog post for the full code and a"
X Link @ivnardini 2025-10-15T15:00Z 1169 followers, XXX engagements
"This morning I spent some time in the Vertex AI documentation and was impressed by the open-source models available as APIs. Model as a Service (MaaS) gives you access to very large open models via a fully managed serverless Chat Completion API. The key takeaway: there's no need to provision or manage your own infrastructure. You just call the model. The list of curated models available is stacked: Llama (4 XXX XXX 3.1) Qwen3-Next gpt-oss DeepSeek and even embedding models like multilingual-e5. Check out the new documentation in 🧵 to get started"
X Link @ivnardini 2025-10-16T17:30Z 1168 followers, XXX engagements
"Blog: Docs: Notebook:"
X Link @ivnardini 2025-10-16T21:00Z 1169 followers, XX engagements