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Agentic AI: 8 GPUs, 32 experts each

When the new chips arrive in about a year, the update the models get is hard to imagine.

Jensen Huang on a dark stage, pointing at a slide that reads Point-to-Point, 8 GPUs x 9 Servers, with four chip panels above it each labelled 32 Experts.

We are in the Blackwell 2-year frame. When new chips arrive in about a year, LLM models get an update unimaginable.

NVIDIA’s next chip, Rubin, will include everything we have learned since ChatGPT went global.

The new scale for running massive mixture-of-experts models:

→ 8 GPUs × 9 Servers (Point-to-Point via Ethernet)
→ Each GPU represents 32 Experts

This is the physical backbone for agentic AI at scale.

Slide: point-to-point, 8 GPUs × 9 servers, 32 experts each, from the GTC Washington keynote at 54:45.