Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
GPU dev environments that just work
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!
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- 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
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Featuring:
- Nader Khalil – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
DISCOUNT 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!
Timestamps:
(00:00) - Intro
(00:45) - Welcome to Practical AI
(01:20) - Nader Khalil
(07:56) - Dependency issues
(10:22) - Stepping away from the classical approach
(13:55) - Getting excited about Brev.dev
(18:14) - Multi-cloud considerations
(24:57) - Brev.dev Templates
(31:16) - Collaboration with Brev
(32:59) - Brev in private environments
(35:30) - Nader's future
(39:05) - Outro