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▶ 16:32 · $NVDA · Nvidia building full-stack robotics platform following LLM playbook with compute flywheel
episode briefing
Sequoia Capital

Robotics' End Game: Nvidia's Jim Fan

2026-04-30 · 5 company · 4 thematic
sentiment
5 bull0 bear0 neu
speakers
jim fan

Jim Fan leads Nvidia's embodied AI/robotics research group. He joined as an intern in 2016 when Jensen Huang delivered the first DGX-1 to OpenAI, and has driven the 'great parallel' strategy applying LLM scaling laws to robotics through world models, simulation, and massive RL.

quote
“So, the new post-training paradigm for robotics is a massively parallel RL system that runs on a few real robot stations, a bunch of graphics cores running world scans, and heavy inference compute running world models. Or, as this equation…”
—jim fan

episode shorts · 1

95% sure robotics is fully solved by 2040 | NVIDIA's Jim Fan

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