Glenn Dekheyser

Yeah, from a liquid cooling perspective, I think that's one of the things that's going to drive a lot of the Neocloud success.

And I like to put this in terms of, if you're a storage guy, you'll get this.

We've dealt with a lot of it with NetApp in the SnapMirror world, both Sync, SnapMirror, and Async, right?

MetroCluster.

I've had conversations with CIOs who say, I want zero RTO, zero RPO.

I want it automated too.

As soon as there's a small disaster, I want it failing over.

I'm like, okay, you want me to propose that solution for you?

You sure about that?

And you want the solution, here's what we're going to do.

I'm going to charge you $25,000 to make that proposal for you.

If you go for the proposal, that $25,000 will be credited.

If you don't, you owe me $24,000 because I guarantee you, you're not going to want to do this.

And they never do because the conversation always goes,

they get the proposal for the zero, zero, and they go, oh, maybe I could deal with two hours downtime, or maybe I could deal with 15 minutes of lost data on some of those data sets.

I'm like, uh-huh, right?

And I think the same thing with liquid, you're going to get the same thing with the AI on liquid cooling.

So you think you want

a super pod of Grace Blackwell.

Okay, maybe you need it.