Justin Parisi

You set it up once and you're not probably going to set it up a lot after that.

So why?

Oh, there is a lot of work and maintenance and operational.

Sure.

Right.

So you could either hire an entire team that specializes in that for probably 10 X the cost or hire somebody who already has the expertise.

They already have the knowledge and they do it for you.

That's I think the draw of this type of stuff is licensing.

The expertise is really what it is.

I would imagine that conversation is very similar to whatever a crypto miner would have to talk about, right?

Because you're dealing with the same kind of sheer processing, trying to cool down this inferno of processing power with whatever you have, right?

You can't really buy a misting tent for it.

It's not going to work.

Microsoft actually did that with, I guess, some of their cloud data centers.

They just basically stuck it in the ocean.

Next.

So with agentic AI, away from the whole liquid cooling thing, but it got me thinking about data sovereignty, I would imagine there's going to be some challenges with that.

And I would imagine they're going to be very similar with the challenges that we saw with IoT.

So talk to me about how Equinix might address some of those challenges.

If there's even challenges, maybe I'm completely off base.