All right, it's five o'clock.

So we're gonna go ahead and get started with uh this evening's study session.

Uh the first item is a presentation on data centers from Sean Waldron with Secure Cyber.

So I'll invite you to the podium.

Thanks, Mr.

Mayor.

Uh my name is Sean Walden.

I'm the CEO of Secure Cyber.

Sorry.

Um Good evening.

Uh my name is Sean Waldman.

I'm the CEO of Secure Cyber.

Um I'm here to, like the uh presentation says, I'm here to help separate fact from fear.

Uh this is a uh can be highly volatile topic.

Uh I've been up and down um I-71 and in the New Albany area twice in the last week, so I've been able to witness a lot of the construction up there.

Uh so I don't have a ton of time.

I do have a prepared presentation.

I would like to lean more towards answering your questions.

Uh obviously you receive this ahead of time, and I even took a stab at trying to anticipate what some of your questions might be.

You might have more.

So I'd like to not do a whole gigawatt, megawatt conversation and gallon hundreds of thousands of gallons of water, but kind of push through this and then lean towards answering your questions as fast as we can, just in the for time.

So uh that is what we're going to do today is just talk about kind of what a data center actually is.

Um there was the data drain article that I looked at.

Um, some misconceptions and facts.

I believe, just my opinion, a lot of what's going on in the data center space as well as other topics uh that are popular right now, it's just a ton of myths and disinformation.

Uh I believe people are not uh properly educated on what these topics are, what they do, how they work.

Um there's a lot that you'll read about that are older data center technologies, especially when we start talking about water usage and some of the decibel levels and those types of things.

So we'll go over that.

Um House Bill 646 is out there as well.

So obviously things didn't go too well in Ohio where they shut down the tax incentives and some other things.

And the governor put together a committee to evaluate some of the topics that we'll talk about today.

Uh so we'll talk about that.

The Kentucky model zoning ordinance was also provided to me, and we'll look at that.

I've also consumed my fair share of YouTube videos uh and and read some of the stuff that's out there.

And I'll tell you, probably not that you don't already know this, but one of the most difficult things about doing any bit of research like this is are you consuming the right information?

And is who's presenting the information to you?

Are they providing accurate information as well?

So it can be very difficult to read and listen and watch and think that you're getting the right information when that information was specifically put out there to derail you.

So I would like to think that in my 30 years, uh, one of the things that I'm good at is detecting um kind of what is good information and what isn't.

So I that's probably one of the main reasons I'm here is to help help through that.

Uh and then you know, I'll talk about what Vandalia should ask uh before you get any proposal or approval.

Um again, just my opinion from the research that I've done.

So and then we'll we'll do some QA.

So uh what is a data center really?

Um they're really divided into for the sake of simplicity, they're divided into three sectors.

You've got small edge, which is not what we're talking about.

Small edge might be um uh you know, maybe the city has a data center, and you've got some servers in a room that's cooled and they're performing services, you know, for the city.

That's definitely not what we're talking about.

Um mid-scale data centers.

Mid-scale data centers are more probably what you would see.

Um a developer would approach the city of Andalia and say, hey, we've got a mid-scale data center project, and that's what we want to present to you.

Hyperscale.

Hyperscale are large mega metropolis data centers.

These things are absolutely massive.

There's one in Louisiana, um, there's one in Texas.

These things, uh one of them, the one down in Hyperion, the one down at Louisiana, uh, which is a meta data center, is about the size of Long Island, if you put it on it, like it would fit on on Long Island.

Um a lot of the research that I found shows that um a lot of what I think people have been reading are the hyperscale numbers and the hyperscale data being set out there without actually telling you that that's what it is.

Uh next slide.

Uh hyperscale versus mid scale.

Hyperscale versus mid scale, so the scale that matters, it's it's just talking about in more specifics in the mid-scale range.