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Jensen Huang – Will Nvidia’s moat persist?

2026-04-15 Science & Technology
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Dwarkesh Patel
Dwarkesh Patel
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Description

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! +𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkesh.com/p/jensen-huang * Apple Podcasts: https://podcasts.apple.com/us/podcast/jensen-huang-tpu-competition-why-we-should-sell-chips/id1516093381?i=1000761582962 * Spotify: https://open.spotify.com/episode/1viBRy6dQdlSw0OdFvogXB?si=bc2cdbd467ed4ee3 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 https://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 https://github.com/dwarkeshsp/ai_coworker, or get started on your own Cursor project today at https://cursor.com/dwarkesh - Jane Street spent ~20,000 GPU hours training backdoors into 3 different language models, then challenged my audience to find the triggers. They received some clever solutions—like comparing the base and fine-tuned versions and extrapolating any differences to reveal the hidden backdoor—but no one was able to solve all 3. So if open problems like this excite you, Jane Street is hiring. Learn more at https://janestreet.com/dwarkesh To sponsor a future episode, visit https://dwarkesh.com/advertise. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 – Is Nvidia’s biggest moat its grip on scarce supply chains? 00:16:25 – Will TPUs break Nvidia’s hold on AI compute? 00:41:06 – Why doesn’t Nvidia become a hyperscaler? 00:57:36 – Should we be selling AI chips to China? 01:35:06 – Why doesn’t Nvidia make multiple different chip architectures?

Top Comments (10)

@desgreene2243 2026-04-16

This in retrospect will be quite an important interview.

754 11 replies
@Rathgrams2 2026-04-15

You don’t have to move on. I’m enjoying it. -Jensen Huang

2.5k 111 replies
@VZ-ne9ut 2026-07-18

Who came here to rewatch after the Kimi 3 launch

3
@richardlau898 2026-04-15

rarely seen Jensen so angry lmao

2.5k 184 replies
@emilskovgaard5829 2026-04-15

Dwarkesh: Thank you sitting down with me Jensen: Your premise is just wrong

950 15 replies
@TurtleHermitTrader 2026-07-17

Here after K3 launch today… turns out Jenson knew a thing or two rather than being in the altruistic bubble. Jenson predicted this perfectly as to how mythos capability already exists and they just need to stack it up. And they are just the First one to do that and open source. Incredible vision of Jenson to have foreseen this. 5 Layer Cake

3
@scmah174 2026-04-20

“Do as much as needed…as little as possible”. My new parenting mantra.

131 2 replies
@gunaysoni6792 2026-04-15

To summarize Jensen's argument: We should keep the USA ahead in semiconductor technology, but we should still compete in the Chinese markets. If Nvidia chips like Vera Rubin are better than Hopper, but even Hopper is better than the Huawei chips, then we should sell Hopper to China while using Vera Rubin for ourselves. Removing Nvidia from the Chinese markets gives additional incentive for them to improve their own tech stack (which they would do regardless, but probably not at the same rate) and to try to spread their competing tech stack around the world (which poses obvious risks, as seen with telecommunications).

816 104 replies
@themartinsbash 2026-04-19

“I think your premise is wrong. I need you to comeback so I can correct your premise” 😂😂😂. Love this guy!

15 1 replies
@vitalis 2026-04-16

“As much as needed, as little as possible.” This is an interesting mental concept.

232 16 replies

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