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Jensen Huang

👤 Person
1523 total appearances

Appearances Over Time

Podcast Appearances

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

And the reason for that is because ASICs is really fantastic when the market size is not very large.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

It's easy to have somebody be a contractor to help you put the packaging of all that stuff together and do the manufacturing on your behalf.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

And they charge you 50, 60 points of margin.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

But when the market gets large for an ASIC, there's a new way of doing things called COT.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

Customer-owned tooling.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

And who would do something like that?

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

Apple's smartphone chip, the volume is so large, they would never go pay somebody else 50%, 60% gross margin to be in ASIC.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

They do customer-owned tooling.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

And so where will TPUs go when it becomes a large business?

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

Customer-owned tooling.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

There's no question about it.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

But there's a place for ASICs.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

Video transcoders will never be too large.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

SmartNICs will never be too large.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

And so when there's 10, 12, 15 ASIC projects going on at an ASIC company, I'm not surprised by that.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

Because there are probably five SmartNICs and four transcoders.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

Are they all AI chips?

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

Of course not.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

And if somebody were to build an embedding processor for a specific recommender system, and that was an ASIC, of course you could do that.

BG2Pod with Brad Gerstner and Bill Gurley
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner

But would you do that as the fundamental compute engine for AI that's changing all the time?