Corey Grant

Right, which I use all the time.

I mean...

Here's what I'll say, and I'm going to give you kind of a two-part answer, is that I'm going to break it down for the business slash data scientist, then I'll give you kind of like the normal person knowledge worker, right?

The real value, and I see this all the time, is with companies that have a data center, have some GPUs in their data center, first off, as much as people might like to think, money is not unlimited at corporations, right?

Meaning like, yeah, we might be worth billions of dollars or we did, you know, like there is money.

There's people that have to be paid.

Like there's all these things that the money is not unlimited.

And, and I'll be honest, most of the time generally is when you see things like I won't name the company, but maybe a year and a half ago, you saw maybe an airline, um, have some issues.

We won't say the name.

I fly them all the time, but that's because they, they did not update their hardware infrastructure.

And that's kind of the same thing that I've seen with AIs.

They'll buy something and won't update.

But there's more and more people that are getting excited and want to access it.

The value of local is I cannot tell you how many people I've seen that are data science developer or whatever who are like, man, I want to get some time in the data center.

They're backed out three months or they're backed out two weeks or they're like, hey, we can't afford you to run this experimentation for two days.

We will give you one day to the point where I know I'm not.

This is not an open AI comment.

It's not a meta comment, but just general companies in general.

I think AI from their development and kind of some of the stuff they're trying to do is being impacted because.

The access to the data center and those shared resources are limited and it's stifling creativity.