Dwarkesh Kheterpal

So is it possible that ads might not be it?

Yeah, how do you think about this?

Lambda is the cloud for AI developers.

They have over 50,000 Nvidia GPUs ready to go for startups, enterprises, and hypersalers.

Compute seems like a commodity though, so why use Lambda over anybody else?

Well, unlike other cloud providers, Lambda's only focus is AI.

This means their GPU instances and on-demand clusters have all the tools that AI developers need pre-installed.

No need to manually install CUDA drivers or manage Kubernetes.

And if you only need GPU compute, you can save a ton of money by not paying for the overhead of general-purpose cloud architectures.

Lambda even has contracts that let enterprises use any type of GPU in their portfolio and easily upgrade to the next generation.

For all of you wanting to build with Lama 4, Lambda has a serverless API without rate limits.

It's built with rapid scaling in mind.

Users have 1,000x their inference consumption without ever having to apply for a quota or even speak to a human.

Head to lambda.ai slash thwarkash for a free trial of their inference API, featuring the best open source models like DeepSeq and Lama4 at the lowest prices in the industry.

All right, back to Zach.

How do you keep track of... You've got all these different projects, some of which we've talked about today.

I'm sure there's many I don't even know about.

As the CEO overseeing everything, there's a big spectrum between like, you know, going to the Lama team and here's the hyperparameters you should use to just giving like a mandate, like go make the AI better.

And there's many different projects.

How do you think about the way in which you can best deliver your value add and oversee all these things?