Listen "GPU dev environments that just work"
Episode Synopsis
Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! brev.dev is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Nader Khalil – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:brev.devDISCOUNT for our listeners 🔥:Use coupon code “practical-ai-2023” for 5 hours of free GPU compute!brev.dev doesn’t offer credits often, so the credit redemption button is hidden by default. Go to this link to expose the button.Something missing or broken? PRs welcome!
More episodes of the podcast Practical AI
The AI engineer skills gap
10/12/2025
Technical advances in document understanding
02/12/2025
Beyond note-taking with Fireflies
19/11/2025
Autonomous Vehicle Research at Waymo
13/11/2025
Are we in an AI bubble?
10/11/2025
While loops with tool calls
30/10/2025
Tiny Recursive Networks
24/10/2025
Dealing with increasingly complicated agents
16/10/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.