(Replay) Degrees of Change: How Quantum Could Transform AI Infrastructure

So we had talked about AI infrastructure in the past, and I have... wanted for a while to talk about how things might change with the advent of quantum computing or hybrid quantum classical computing.

And so we wanted to talk about sort of not only the impact on the data center build out, which we've talked about before, and we've also talked about before how those data centers for AI house chips that make the AI run, all the power they take, all the water that they take.

All of these things are necessary just as infrastructure to make the AI models sort of whiz and whir and do their thing.

But now what we're going to do is we're going to sort of step back from that and talk about how the investments and then advancements in quantum computing intersect with AI and might, just might, actually impact some of that infrastructure.

So we'll first, I think, give a quick background on actually what quantum computing is, which will help frame up that discussion.

But the big idea here is that because quantum computing is supposed to be so much more efficient, that it's going to significantly amplify the compute power that's available.

But it's a complicated story.

It's not likely to be some magic bullet for our power needs in the near future.

It will increase efficiencies alongside the classical computing workloads that power AI today and that we previously talked about on the podcast.

Right.