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Squawk on the Street

SOTS+ NVIDIA Founder and CEO Jensen Huang 3/19/24

Squawk on the Street

CNBC

Investing, News, Business

4.1567 Ratings

🗓️ 19 March 2024

⏱️ 10 minutes

🧾️ Download transcript

Summary

Nvidia CEO Jensen Huang joins CNBC's Jim Cramer to discuss what Nvidia’s doing with its next-generation semiconductors, the theory behind accelerated computing, and more. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Transcript

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0:00.0

Yes, I am with Jensen Wong and we are at what some people are calling Jensen, the woodstock of AI.

0:07.9

But isn't it much more than that?

0:09.5

Isn't about a change in everything we do when it comes to digital?

0:14.7

When it comes to creating, it comes to thinking.

0:18.4

You're changing that.

0:19.8

Isn't that what we're doing out here?

0:21.6

Yeah, this is an incredible conference. This is NVIDIA's developer conference.

0:25.6

Everything that we do starts with software. Everything we do starts with software and everything

0:30.6

we do is in service of all the software developers who are solving these really difficult algorithms.

0:36.6

We are represented by $100 trillion of industry here.

0:41.4

Healthcare is here, financial services are here, manufacturing, industrial automotive,

0:47.2

climate tech, you know, holy cow, communications is here, consumers are here.

0:53.5

But people always think of you as hardware.

0:55.5

You're talking about a different platform, a system that, frankly, may be unassailable from competitors.

1:02.9

Because once all these companies get involved with you, they're going to stick with NVIDIA.

1:06.9

It's a very specialized way of doing computing called accelerated computing.

1:10.6

And what we do is this. Jim, this is the observation a long time ago.

1:16.0

30 years ago, we observed that the CPU is really good at many things, but there are some things

1:21.2

it's surprisingly ungood at, parallel things, things that you could distribute across a large number of processors.

1:29.3

And so what we did was we added Nvidia to a CPU, we connected it to a CPU, offload the work

1:36.9

that the CPU is not good at. And we run that work insanely fast. Well, surprisingly, that work that the CPU is not good at represents 95% of the time

1:49.2

that is spent in computing. We offload that 95% of the time, and we run it 100 times faster.

...

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