Asit Sharma

It has very good technology to help sling data around a GPU faster than existing methods.

They're seeing some love in the marketplace.

Thirdly, these cutting-edge storage designers, these are businesses that are building specialized memory storage that are used within AI data centers.

Your computer, my computer need memories to operate.

Actually, my brain needs memory to operate.

That's why I try to sleep at least seven hours a day.

It's not so much different within a data center.

These information workloads that move around, you need storage drives for those.

That's a commodity business, but there are a handful of companies that are at the bleeding edge.

At the end of the day, what they're doing is making storage that's faster to access, it's very configurable, and it provides a lower total cost of ownership over the life of that component to the operator of the data center.

Pure Storage, symbol PSTG.

Emily, that's a company you and I have both studied.

It's a great example of a business of this type.

There's a common thread running through all of these.

Essentially, if investors understand the inherent value of an NVIDIA or an Advanced Micro Devices, chief competitor to NVIDIA, to the AI story, I think, in some ways, much of the value is priced in.

These businesses have had a great run.

Investors are naturally looking now to suppliers within the spectrum of the value chain that exists between your keyboard, where you input a query, and your screen.

or you get the response back from chat GPT.

What happens in between?

It's not all about the GPU makers.