Jake Cooper

speaker

1,106 appearances 1 recordings 1 series first heard May 2026 last heard 20 May

Jake Cooper’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in May 2026 with 1.

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Latent Space: The AI Engineer Podcast · Railway: The Agent-Native Cloud — Jake Cooper · 20 May 2026 podcast

So it's kind of nuts just in terms of like how valuable hardware and all of this stuff is, right?

If you look at especially a lot of the hyperscalers, like what they deployed like

80 billion dollars of like capital expenditures like this year and like into next it's going to be like more in general right this is massive massive scale like infrastructure bill does and you can hear that like wow that's crazy they're spending like way more than the Manhattan project but like again if you go back to every person is going to run.

you know, dozens, hundreds, whatever of agents in parallel, like you should spend more than you have.

You have like you have no conceptual idea of like how much compute is required to go in and make that experience happen.

Even if you're deeply efficient, even if you're sharing resources, even if you're doing all of these things correctly.

And that doesn't even count inference.

Yeah, so, like, we still maintain, like, cloud presence for, like, bursting, essentially.

And so what we can do is, you know, we work with AWS and GCP and a few of those, you know, other clouds.

Like, we can just rent, and then the moment we kind of get space or power or whatever, you almost just, like, compact those off the cloud, right?

Like, we... Because we started on the clouds, and then we built...

a system to allow us to migrate to our own metal.

And so there's nothing that says you can't just continually do that again, which is exactly what we do right now.

Right.

And so we we never want to be in a spot where essentially we are, you know, compute constrained.

Right.

And at the start of the year, like we actually got to a point where we were compute constrained because the one upstream provider that we were actually working with wasn't able to give us quota at the rate that we needed to.

And the hardware was like slower.

Right.

And so we had to do a bunch of different stuff.

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