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

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