Mitchell Hartman

Compute is thousands and thousands of computers all in sync, all supporting whatever the business requires.

Those are single-tenant buildings.

It's all Microsoft.

It would be all Google.

And those can sit somewhere where there's a low cost of power, low cost of real estate, but they're connecting back to the Google network or the Microsoft network.

Because we have one of the largest user populations that sit here in Los Angeles that need access to all of it.

When you're using your phone and you have access to all the different applications on your phone, from whether you're depositing a check on your Wells Fargo application or you're ordering Uber or whatever it might be, that is all being accessed from a data center like CoreSight.

So this room is going to have a lot of infrastructure that CoreSight provides to support powering and cooling the servers that you see racked and stacked across all of the rows that sit inside this room.

Yes.

So there's a couple things to think about when we're developing more data centers.

First of all, we have to continue to support our customers' growth and scalability.

But when we think about building another building,

We are looking at the, you know, how much power do we think we need, tethering it back to the existing campus and building out liquid-cooled solutions to support these higher density.

And when I say density, I'm talking about more power to the cabinet.

Right.

Well, so let's say it this way.

Companies have been building data centers for years and years and years.

There's an evolution of the data center because of the fact that AI is now requiring more power.

However, the most efficient place is a co-location facility like this.

It's not good for every single enterprise anymore to build their own data center.