Jon Parrella

You're going to have AI corridors throughout the world, and the AI corridors are going to be like major highways where you've got transmission lines and everything where they build 10 or 20 or 50 megawatt little smaller data centers to enable things like automated driving or automated flying or things where you need low latency to be able to get to response time.

And so to me, distributed AI, I think, is going to be more the way we're going to see things move quickly.

There's already companies we're working with like Dell and these other big companies that are doing all these like containerized AI in a box, just like Bitcoin got to, right?

Whether you could find pockets of power and you could deploy smaller data centers.

to get the GPUs working faster.

And a lot of those get underneath the hurdle of the regulatory where, you know, in Texas it's 75 megawatts and above is large load.

So if you build, you know, 5, 10, 25, 50 megawatts smaller data centers, you can build them much faster, you can get them online faster, and you create less of a liability to the grid.

And that's where you find pockets where you can hyperlocate next to substations and use up the capacity of those.

I think that's the way we're going to see.

And so we see not – because here's the other problem.

If you look at the Stargate 1 project, by the time they completed building the first few buildings, they were already like four GPU generations behind.

Right.

And so the difficulty with building these massive structures and building a whole city around it is, one, the staffing you need in a specific location, and two, the capital, and then three, the lead time to everything.

When you do modularize like AI in a box that you can just drop the container off, and when that container becomes out of date, you pick it up, take it back to the factory and drop another one off, I think you're going to see kind of the AI factory change dramatically.

And listen, I just got back from Data Center World Conference in Washington, D.C., and we saw just that.

There were like where there was maybe one, now there's like seven or eight containerized AI companies now building that.

So we're seeing a lot of that as well.