Running Ray on Kubernetes with KubeRay

Kubernetes Bytes

Innhold levert av Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Kubernetes Bytes, Ryan Wallner, and Bhavin Shah eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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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:

Kai's LinkedIn: https://www.linkedin.com/in/kaihsun1996/
KubeRay doc: https://docs.ray.io/en/latest/cluster/kubernetes/index.html
Ray Summit registration: https://raysummit.anyscale.com/flow/anyscale/raysummit2024/reg/createaccount (code: KaiHsunC15)
KubeRay repository: https://github.com/ray-project/kuberay
Ray repository: https://github.com/ray-project/ray
Ray Slack workspace: https://docs.google.com/forms/d/e/1FAIpQLSfAcoiLCHOguOm8e7Jnn-JJdZaCxPGjgVCvFijHB5PLaQLeig/viewform

Timestamps:

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

88 episoder

#Tech #Bhavin Shah #Ryan Wallner #Kubernetes Bytes #Kuberentes #Cloud IT #CONTAIN #Cloud Native #Software