MLOps is NOT Real (Practical AI #176) episode artwork

EPISODE · Apr 26, 2022 · 45 MIN

MLOps is NOT Real (Practical AI #176)

from Changelog Master Feed

We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.

Episode metadata supplied by the publisher feed · Published Apr 26, 2022

Embed this episode

NOW PLAYING

MLOps is NOT Real (Practical AI #176)

0:00 45:57

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Changelog Master Feed?

This episode is 45 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on April 26, 2022.

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.
URL copied to clipboard!