Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI

Rubin's specs set the near-term ceiling for agentic inference economics: 288GB of HBM4 at 22TB/s, 50 PFLOPS of NVFP4, NVLink 6 at 3,600GB/s, and a claimed 10x agentic throughput per watt over Blackwell.

• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
• transformer — The neural network architecture behind modern AI models, built on attention — letting every word directly consider every other word in parallel.

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