
Dwarkesh Patel interviews Jensen Huang about TPU competition, Nvidia's supply chain, and the implications of selling AI chips to China.
I asked Jensen about TPU competition, Nvidia’s lock on the ever more bottlenecked supply chain needed to make advanced chips, whether we should be selling AI chips to China, why Nvidia doesn’t just become a hyperscaler, how it makes its investments, and much more. Enjoy! Watch on YouTube ; read the transcript . Sponsors * Crusoe’s cloud runs on state-of-the-art Blackwell GPUs, with Vera Rubin deployment scheduled for later this year. But hardware is only part of the story—for inference, Crusoe’s MemoryAlloy tech implements a cluster-wide KV cache, delivering up to 10x faster TTFT and 5x better throughput than vLLM. Learn more at crusoe.ai/dwarkesh * Cursor helped me build an AI co-researcher over the course of a weekend. Now I have an AI agent that I can collaborate with in Google Docs via inline comment threads! And while other agentic coding tools feel like a total black-box, Cursor let me stay on top of the full implementation. You can try my co-researcher out at github.com/dwarkeshsp/ai_coworker , or get started on your own Cursor project today at cursor.com/dwarkesh * Jane Street spent ~20,000 GPU hours training backdoors into 3 different language models, then challenged my…
Host: Dwarkesh Patel
Guest: Jensen Huang
Crusoe, Cursor, Jane Street
Organizations: Nvidia
Products: Blackwell GPUs
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