Skip to content
Serverless GPUs (Practical AI #211) episode artwork

Feb 14, 2023 38 min

Serverless GPUs (Practical AI #211)

from Changelog Master Feed

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!

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Serverless GPUs (Practical AI #211)

0:00 38:33

Chapters

  1. 0:07 Welcome to Practical AI
  2. 0:43 Erik Dunteman
  3. 2:34 What does serverless mean to you?
  4. 7:17 What's the secret sauce?
  5. 9:30 How does serverless affect our workflows?
  6. 13:21 Sponsor: Changelog++
  7. 14:21 What languages do you prefer?
  8. 17:20 The Banana workflow
  9. 20:33 The necessary minimum skills to use Banana
  10. 24:51 A typical win
  11. 26:20 Incompatible workflows
  12. 30:11 Future Banana-AWS compatability?
  13. 32:53 Tips to choose your GPU
  14. 35:23 What's the future of serverless?
  15. 37:46 Outro

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Changelog Master Feed?

This episode is 38 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on February 14, 2023.

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this Changelog Master Feed episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.