Megan McCarty Carino

These are just all computers running right now.

That's insane.

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.

So fundamentally, you're the landlord, right?

Correct.

I mean, is that the analogy?

Yes.

A lot of the focus on data centers right now is on those hyperscale projects.

And you might not think you're using AI if you're not, say, asking Chad GPT what you can make for dinner out of what you have in your fridge.

But the more AI is integrated across the Internet into the processes of your bank, your employer, your health care provider, the more data centers like this one that we are going to need.

My guess is CoreSight wants to build.

You've got to get bigger, right?

So as you think about building here in LA, how do you think about that in terms of your sunk costs versus what you're going to be able to get in revenue?

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, right, right, right.

Right.