GPU dev environments that just work
from Practical AI Hosted by Daniel Whitenack and Chris Benson
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! 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.com Fly.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 – X Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: brev.dev DISCOUNT for our listeners 🔥: brev.dev doesn’t offer credits often, so the credit redemption button is hidden by default. Go to this link to expose the button. Upcoming Events: Register for upcoming webinars here!
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Chapters
- 0:00 Intro
- 0:45 Welcome to Practical AI
- 1:20 Nader Khalil
- 7:56 Dependency issues
- 10:22 Stepping away from the classical approach
- 13:54 Getting excited about Brev.dev
- 18:13 Multi-cloud considerations
- 24:57 Brev.dev Templates
- 31:15 Collaboration with Brev
- 32:59 Brev in private environments
- 35:30 Nader's future
- 39:04 Outro
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