Satya Nadella

Or is it a winner take all or not?

Like, because that you got to get right.

Because categories, you want, I like to enter categories, which are big TAMs,

where you don't have to even have the risk of it all being winner take all.

The best news to be is in a big market that can accommodate a couple of winners and you're one of them.

That's what I meant by the hyperscale.

Got it.

In the model layer, one is models need ultimately to run on some hyperscale compute.

So that's sort of that nexus I feel is sort of going to be there forever, right?

Because again, it's just not the model, but the model needs state.

That means it needs storage and it needs to regular compute for running these agents and the agent environments.

And so that's kind of how I think about why the limit of one person running away with one model and building it all

It may not happen.

It's a good point.

I mean, like, so the way...

We have built out, at least the way we want to build out the fleet is, in some sense, ride Moore's law.

I think that this will just be like what we have done with everything else in the past, which is you kind of every year sort of keep refreshing the fleet.

You depreciate it over whatever the lifetime value of these things are, and then get very, very good at the placement of the fleet such that you can run different jobs at it with high utilization, right?

So sometimes they are very big training jobs that need to have highly concentrated peak flops that are provisioned to it.

that also need to cohere or what have you, that's great.