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Contenuto fornito da Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Kubernetes Bytes, Ryan Wallner, and Bhavin Shah o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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Running Ray on Kubernetes with KubeRay

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Contenuto fornito da Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Kubernetes Bytes, Ryan Wallner, and Bhavin Shah o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Kai-Hsun Chen, Software Engineer at Anyscale and maintainer of the KubeRay project. The discussion focuses on how the open source Ray project can help organizations use a single tool for data prep, model training, fine tuning and model serving workflows, both for their predictive AI and generative AI models. The discussion also dives into the KubeRay project and how it provides three different Kubernetes CRDs for Data Scientists to deploy Ray clusters on demand.

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

Cloud Native News:

  • https://azure.github.io/AKS/2024/08/23/fine-tuning-language-models-with-kaito
  • https://orca.security/resources/blog/kubernetes-testing-environment/
  • https://www.redhat.com/en/about/press-releases/red-hat-openstack-services-openshift-now-generally-available

Show links:

Timestamps:

  • 00:02:40 Cloud Native News
  • 00:07:20 Interview with Kai
  • 00:49:15 Key takeaways
  continue reading

88 episodi

Artwork

Running Ray on Kubernetes with KubeRay

Kubernetes Bytes

30 subscribers

published

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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 438351754 series 3332465
Contenuto fornito da Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Kubernetes Bytes, Ryan Wallner, and Bhavin Shah o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Kai-Hsun Chen, Software Engineer at Anyscale and maintainer of the KubeRay project. The discussion focuses on how the open source Ray project can help organizations use a single tool for data prep, model training, fine tuning and model serving workflows, both for their predictive AI and generative AI models. The discussion also dives into the KubeRay project and how it provides three different Kubernetes CRDs for Data Scientists to deploy Ray clusters on demand.

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

Cloud Native News:

  • https://azure.github.io/AKS/2024/08/23/fine-tuning-language-models-with-kaito
  • https://orca.security/resources/blog/kubernetes-testing-environment/
  • https://www.redhat.com/en/about/press-releases/red-hat-openstack-services-openshift-now-generally-available

Show links:

Timestamps:

  • 00:02:40 Cloud Native News
  • 00:07:20 Interview with Kai
  • 00:49:15 Key takeaways
  continue reading

88 episodi

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