Running Ray on Kubernetes with KubeRay

Kubernetes Bytes

Konten disediakan oleh Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Kubernetes Bytes, Ryan Wallner, and Bhavin Shah atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.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 episode

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