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Serverless GPUs

Podcast |: Practical AI: Machine Learning, Data Science
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Data Science,; Interview,; Machine Learning,; Tech News,; Technology
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Feb 14, 2023
Episode Duration |: 00:38:33

Description
Content Encoded

We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application developers. Forget about servers, but don’t forget to listen to this one!

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Featuring:

Erik Dunteman – Twitter, GitHub, LinkedIn, Website
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Banana - Scale your machine learning inference and training on serverless GPUs.

Something missing or broken? ai-211.md">PRs welcome!

Timestamps:

(00:07) - Welcome to Practical AI(00:43) - Erik Dunteman(02:34) - What does serverless mean to you?(07:17) - What's the secret sauce?(09:30) - How does serverless affect our workflows?(13:21) - Sponsor: Changelog++(14:21) - What languages do you prefer?(17:20) - The Banana workflow(20:33) - The necessary minimum skills to use Banana(24:51) - A typical win(26:20) - Incompatible workflows(30:11) - Future Banana-AWS compatability?(32:53) - Tips to choose your GPU(35:23) - What's the future of serverless?(37:46) - Outro

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