Running Ray on Kubernetes with KubeRay

Kubernetes Bytes

Kubernetes Bytes, Ryan Wallner, and Bhavin Shah에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Kubernetes Bytes, Ryan Wallner, and Bhavin Shah 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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 에피소드

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