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Published · transcript-backedNader Khalil: preference
10 Mar 2026 Latent Space NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)
“I feel like coding agents have been so much more effective than general purpose agents. And I think a large part of that is it just has access to the terminal, like you said, and that means it has access to everything that you’ve installed into your terminal.”
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- Speaker
- Nader Khalil
- Attribution
- Verified speaker
- Claim type
- preference
- Recorded
- 10 Mar 2026
- Publisher
- Latent Space
Transcript context
…is. Yeah. You dunno what the task is like, or just like, you don’t even know what the judging categories are and then you give it the judging categories. Like, try as much as possible. It’s great though. It turns into like, yeah, so let’s build something on dining party. It’s a great business. See, anyway, funny story. Actually, we have a couple of people at Nvidia, we’ve been working with security to like bring agents really close to compute. So we now have like stuff where we can like tell Dynamo, like go run some experience with Dynamo, like on, X cluster and just like try it right now, like queue up once you get queued, like, send this request load and we’ve actually been able to like, just like, you know, like one shot problems like. We used to have this problem where you know, with Dynamo you have to like find the right configurations and we, sort of do it automatically for some parts of it, but you have to like a good initial configuration that you want to use. And we’ve just had like an agent just completely one shot that it goes, it gets the compute, it like runs a couple experiments. It’s like this is the best, this is this, these are part of the ER frontier. Go run this. And then we just like give that to people and it’s like faster than anything that they have. Agent UX and agent marketing are super important. There’s stuff that we’ve been thinking a lot about. Um, Alec is like redoing the entire Brev CLI, um, so that you can fetch all the different compute types that are available. I don’t know, it’s gonna be really soon, but then you can, you can just browse what GPUs are available and then provision one say to it right there. And you can pipe all the commands. But I think it goes back to like the Alex CLI, like if you, coding agents. It’s kind of funny. I feel like coding agents have been so much more effective than general purpose agents. And I think a large part of that is it just has access to the terminal, like you said, and that means it has access to everything that you’ve installed into your terminal. It can run. So, you know, it would write code and, and it can compile the code and if there are errors, it can fix it, it can run your suite of tests because that’s all just in your terminal. And so that, you know, then for the idea, what come me really excited about the CLI, we’re now just turning through building CLI for the entire, like for the entire business. We Slack, building Slack, also. Workday, C-L-I-S-A Go. I, I’ve also done that for myself first. Really? Yeah. Yeah. Um, we’re gonna, we’re gonna open source all of this. And like yeah, all the, the I they’re just they’re the C yeah. CLI for the business applications. We would love for someone to run with this and like build like, I don’t know, like open CLI foundation in or something. Yeah. We, I Nvidia would love to support, uh, anyone that’s doing this. Like e every Devrel tool should really have good CLI support at this point. Yeah. Like at one point it was, you want your docs to be. Like accessible by an LM, right? You want LM Good dog. No, every, everything needs some CLI. Yeah. It’s kind of funny, right? Like we, like computing began with a terminal with a shell, but we said that it’s not empathetic to, uh, humans. So we built these nice user interfaces and then now we have LMS navigating our user interfaces. And ironically, we’re not empathetic to the machine anymore. Yeah.…
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