Ed Ludlow

Sure.

I mean, if you look at the AI value chain, a lot of focus has been around the compute resources, right?

GPUs, memory.

That's a source of compute that's generating data.

But ultimately, data needs to get stored.

That data that's generated, it needs to be stored, right?

And that's where hard drives really come to the fore.

80% of data that is stored in the cloud is stored on hard drives.

And as you look at where things are going with AI, what is happening is actually there's a structural change in how hyperscalers, the market really looks at the value of AI.

And as a result of that, as the value of data increases, by association, storage increases as well, because you need to store more and more of that data.

And a simple analogy to use is power generation.

If you think of GPUs and memory as the power generators...

data is actually the fuel that powers those power plants.

And so really that is fundamental to enable AI going forward.

So in short, if you don't have HDDs to be able to store that data that's being created.

Can we extrapolate on that analogy a little bit?

So when we think about a data center, we think of it in terms of gigawatts.

A gigawatt equates to hundreds of thousands of GPUs, depending on the stack.

Is there an equivalent that our audience can understand when it comes to storage?

So