Kwasi Ankomah

So the next natural bottleneck, of course, is going to be power.

So that's why, you know, we've kind of, we're really focusing on those problems and we're trying to see, you know, it's, it's not just, it's not just your chips.

There's, you know, there's having the whole ecosystem makes a big difference, but we can, we, we know that that is a message that's definitely landing well.

And we see, we see that only getting more important as, as time goes on.

100%.

No, for sure.

And I think there's all those amazing reasons to keep the power down.

I think designing from that way up, I think, is making a huge difference.

And we want to make sure that our whole stack, our whole ecosystem is as...

is as efficient as possible for those reasons.

Yeah.

So I think this is kind of super interesting, right?

When I talk about where the future of AI agents and AI applications in general.

So I do think that there is a mixture of both.

I think the common pattern that we're going to start to see is that

you're going to feel like, okay, how can I make this work?

So let's take an example.

One of the best OSS models at the moment, you've got GPT-4 OSS, you've got DeepSeq R1.

These models are frontier level models.

They cost more to host, but their levels of intelligence are great and their tokens per second are manageable.