Jensen Huang

based on the capability they need, they could use our GPUs for a very, very long time.

Now remember, A100 is six years old.

However, it is still an order of a magnitude faster than any CPU could put to bear.

So it is still the best computer, it is still the best processor for much of the workload in the cloud.

And most people misunderstand that because unlike

Unlike us, most accelerators are kind of singular use.

Because they don't have diversity, because they don't have versatility, because they're not great at every phase of AI, once they're used for whatever they were designed to do, their value falls off a cliff.

That is not true with NVIDIA.

Oh, thank you.

Billions of dollars.

Billions of dollars.

Yeah.

And so for our Vera Rubin system, a one gigawatt data center is probably something along the lines of 50 to 55.

And NVIDIA's contribution is probably about 35 of that.

That's a great question.

The difference between percentages and billions is a big deal.

Yeah, it's in billions.

You know, I always have to preface that, you know.

We shouldn't take civilization for granted.

So long before you exhaust potential energy sources on Earth, long before, meaning like I think even perhaps in the four or five year time frame, the lowest cost way to do AI compute will be with solar powered AI satellites.