Jensen Huang

It kind of comes down to basically intelligence is going to scale by one thing and it's computing.

For example...

These AI model architectures are being invented about once every six months, right?

And system architectures and hardware architectures kind of every three years.

And so you need to anticipate what likely is going to happen, you know, two, three years from now.

And there's a couple of ways that you could do that.

First of all, we could do research internally ourselves.

And that's one of the reasons why we have basic research.

We have applied research.

We create our own models.

And so we have hands-on life experience right here.

This is part of the co-design that I'm talking about.

We're also the only AI company in the world that works with literally every AI company in the world.

And to the extent that we can, we try to get a sense of what are the challenges that people are experiencing.

That's right.

You've got to listen and learn from everybody.

And then the last part is to have an architecture that's flexible, that can adapt and move with the wind.

And one of the benefits of CUDA is that it's, you know, on the one hand,

an incredible accelerator.

On the other hand, it's really flexible.