Jensen Huang

Of course, over the years, people have speculated about diversion.

We've chased down every single person.

uh... concern uh... we've repeatedly uh... tested and sampled uh... data centers around the world and uh... found no uh... diversion this is a this is an area that that will continue to be rigorous on

And there's a lot of different ways to comply.

And one of them, of course, is to have it be run by American cloud.

Another way is just to make sure that we have measures put in place, whether technology or processes, to ensure that no diversion happens.

When you're growing at the rate and scale of Nvidia, remember we're growing some 60% a year.

Just quarter to quarter growth of our company is $10 billion.

We grew an entire size of a company just in one quarter.

And so the scale and the rate at which we're growing, everything's a challenge, which is the reason why NVIDIA has to be world-class at our supply chain, working with incredible providers and suppliers like TSMC and the memory partners and all of our systems partners, but also working downstream to work with

Energy providers, power generator companies, all of the land power and shell providers so that we could make sure that as we launch into the marketplace, as we deploy into the marketplace, land power and shell will be ready for us.

One of our great advantages is that we have such a large network of go to market.

We're in every single cloud, every single cloud service provider is a customer of ours.

We're in every single GPU cloud.

And so we have a large network and not to mention OEMs, not to mention all around the world.

Our customer base, our network of partners is so large that we will find nooks and crannies of power in large scale, medium scale, small scale.

in different parts of the world.

And so this is a huge advantage of ours.

And it stems from the fact, Ed, that NVIDIA's architecture literally runs every model.

And today, yesterday, we announced a big news with Anthropic.