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Practical AI
Trailer
Bonus
Episode 211
Season 1
Serverless GPUs
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 – Website, GitHub, LinkedIn, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
Banana - Scale your machine learning inference and training on serverless GPUs.
Something missing or broken? PRs welcome!
Chapters
- Welcome to Practical AI
- Erik Dunteman
- What does serverless mean to you?
- What's the secret sauce?
- How does serverless affect our workflows?
- Sponsor: Changelog++
- What languages do you prefer?
- The Banana workflow
- The necessary minimum skills to use Banana
- A typical win
- Incompatible workflows
- Future Banana-AWS compatability?
- Tips to choose your GPU
- What's the future of serverless?
- Outro