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Indhold leveret af Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Kubernetes Bytes, Ryan Wallner, and Bhavin Shah eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Training Machine Learning (ML) models on Kubernetes

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Indhold leveret af Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Kubernetes Bytes, Ryan Wallner, and Bhavin Shah eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Bernie Wu, VP Strategic Partnerships and AI/CXL/Kubernetes Initiatives at Memverge. They discuss about how Kubernetes is the most popular platform to run AI model training and model inferencing jobs. The discussion dives into model training, talking about different phases of a DAG, and then talk about how Memverge can help users with efficient and cost-effective model checkpoints. The discussion goes into topics like saving costs by using spot instances, hot restart of training jobs, reclaiming unused GPU resources, etc.

Check out our website at https://kubernetesbytes.com/

Episode Sponsor: Nethopper

Cloud Native News:

  • https://www.aquasec.com/blog/linguistic-lumberjack-understanding-cve-2024-4323-in-fluent-bit/
  • https://kubernetes.io/blog/2024/05/20/completing-cloud-provider-migration/
  • https://thenewstack.io/introducing-aks-automatic-managed-kubernetes-for-developers/
  • https://www.harness.io/blog/harness-to-acquire-split

Show Links:

  • https://www.linkedin.com/in/berniewu/
  • https://criu.org/Main_Page
  • https://memverge.com/
  • https://youtu.be/tY8YOMRuqWI?si=yB3hHqLUpYPZ-KWN
  • https://youtu.be/ND4seSKpJHI?si=shh0iuA9qC-dO6eb

Timestamps:


  continue reading

88 episoder

Artwork
iconDel
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on March 03, 2025 17:11 (9M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 421319868 series 3332465
Indhold leveret af Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Kubernetes Bytes, Ryan Wallner, and Bhavin Shah eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Bernie Wu, VP Strategic Partnerships and AI/CXL/Kubernetes Initiatives at Memverge. They discuss about how Kubernetes is the most popular platform to run AI model training and model inferencing jobs. The discussion dives into model training, talking about different phases of a DAG, and then talk about how Memverge can help users with efficient and cost-effective model checkpoints. The discussion goes into topics like saving costs by using spot instances, hot restart of training jobs, reclaiming unused GPU resources, etc.

Check out our website at https://kubernetesbytes.com/

Episode Sponsor: Nethopper

Cloud Native News:

  • https://www.aquasec.com/blog/linguistic-lumberjack-understanding-cve-2024-4323-in-fluent-bit/
  • https://kubernetes.io/blog/2024/05/20/completing-cloud-provider-migration/
  • https://thenewstack.io/introducing-aks-automatic-managed-kubernetes-for-developers/
  • https://www.harness.io/blog/harness-to-acquire-split

Show Links:

  • https://www.linkedin.com/in/berniewu/
  • https://criu.org/Main_Page
  • https://memverge.com/
  • https://youtu.be/tY8YOMRuqWI?si=yB3hHqLUpYPZ-KWN
  • https://youtu.be/ND4seSKpJHI?si=shh0iuA9qC-dO6eb

Timestamps:


  continue reading

88 episoder

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