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Jensen Huang

๐Ÿ‘ค Speaker
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5422 total appearances
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Podcast Appearances

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

That install base, when you amplify it with the velocity of our execution,

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

at the scale that we're talking about, no company in history had ever built systems of this complexity, period.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

And then to build it once a year is impossible.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

And that velocity combined with the installed base, in the developer's mind, you just can now take a developer's mind.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

From the developer's perspective, if I support CUDA,

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

Tomorrow it will be 10 times better.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

I just have to wait six months on average.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

Not only that, if I develop it on CUDA, I reach a few hundred million people, computers.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

I'm in every cloud.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

I'm in every computer company.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

I'm in every single industry.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

I'm in every single country.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

So if I create an open source package and I put it on CUDA first, I get these both attributes simultaneously.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

And not only that, I trust 100% that NVIDIA is going to keep CUDA around and maintain it and improve it and keep optimizing the libraries for as long as they shall live.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

You could take that to the bank.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

And that last part, trust.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

You put all that stuff together.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

If I were a developer today, I would target CUDA first.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

I would target CUDA most.

Lex Fridman Podcast
#494 โ€“ Jensen Huang: NVIDIA โ€“ The $4 Trillion Company & the AI Revolution

And that's the reason that I think in the final analysis is our first.