Jensen Huang

And so I could render multiple parts of the screen at the same time.

Not completely true because, you know, maybe the way lighting works or the way shadow works, there's a lot of dependency and such.

But computer graphics with all the pixels, I should be able to process everything simultaneously.

And so we...

We took this embarrassingly parallel problem called computer graphics and we applied it to this new way of doing computing, NVIDIA's accelerated computing.

We put it in all of our graphics cards.

Kids were buying it to play games.

You probably don't know this, but we're the largest gaming platform in the world today.

Oh, okay.

Okay.

That's super cool.

Oh, yeah, man.

I used to be a Quake junkie.

Oh, that's cool.

Yeah.

Okay.

So SLI, I'll tell you the story in just a second and how it led to Elon.

I'm still answering the question.

And so anyways, these two kids trained this model using the technique I described earlier on our GPUs because our GPUs could process things in parallel.

It's essentially a supercomputer in a PC.