Sergii Gerasymovych

then you need to interconnect all of that mind to smaller AI data centers that are called inference data centers.

Inference, or sometimes they're also referred to as edge data centers.

The data center which is located at the edge.

At the edge of what?

At the edge of the city, at the edge of the town, at the edge of location where it's being consumed, that data is being consumed.

So that mind that was trained is transferred basically to the smaller clusters.

And that's where we start using our phone and asking GPT the things immediately.

And we receive the answer pretty fast.

So those data centers have to be located closer to metropolitan areas.

Any areas where there's population, that's where they want to be.

That's where the whole business happening in perspective of usage.

Because for AI data center or for CHED GPT, what matters is how many people are using it.

So basically, more people are using it in the area where more people leave.

That's how it is.

So inference is a very important part of the business, and edge data centers is just a new huge industry, meaning the data centers will be coming up more to metropolitan areas, but they will still going to be on the edge outside of the cities.

I don't believe the idea of sending something into the space is even viable.

I mean, Elon Musk is a big genius of his time and he has done a lot of good stuff.

But at the end of the day, even he has the limits.

You don't need to go to space for this.

It's very expensive.