Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI | NVIDIA Technical Blog
What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale. These factories are now tasked with…
Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI | NVIDIA Technical Blog Technical Blog Subscribe Related Resources Data Center / Cloud Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI Jul 21, 2026 By Eduardo Alvarez , Vishal Mehta and Farshad Ghodsian Like Discuss (0) L T F R E AI-Generated Summary Like Dislike The NVIDIA Rubin GPU, central to the Vera Rubin platform, delivers up to 10x agentic throughput per unit energy compared to Blackwell, enabled by 336 billion transistors, 224 SMs, 896 Tensor Cores with expanded precision, third-generation Transfo
Explore this link on the map →related reading
- Another Giant Leap: The Rubin CPX Specialized Accelerator & Rack – SemiAnalysissemianalysis.com
- The Short Case for Nvidia Stock | YouTube Transcript Optimizeryoutubetranscriptoptimizer.com
- How to Think About GPUs | How To Scale Your Modeljax-ml.github.io
- The Architecture of Dominance: NVIDIA’s Rubin CPX and the $254 Billion Inference Warsshanakaanslemperera.substack.com
- The Best GPUs for Deep Learning in 2023 — An In-depth Analysistimdettmers.com
- The Inference Shift – Stratechery by Ben Thompsonstratechery.com
- How To Scale Your Modeljax-ml.github.io
- Real-time LLM Inference on Standard Datacenter GPUs (3,000 tokens/s per request)blog.kog.ai
- Transformer Inference Arithmetic | kipply's blogkipp.ly
- Inside NVIDIA GPUs: Anatomy of high performance matmul kernels - Aleksa Gordićaleksagordic.com
- Reiner Pope – The math behind how LLMs are trained and serveddwarkesh.com
- Accelerate AI & Machine Learning Workflows | NVIDIA Run:airun.ai