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ray/doc/source/cluster/cluster_under_construction/ray-clusters-on-kubernetes/user-guides/k8s-cluster-setup.md
Dmitri Gekhtman 4d87e8112a
[docs][kubernetes] GPU user guide (#27360) 
Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com>

This PR

adds a page of guidance on GPU deployment with Ray/K8s. This page is a modified and slightly expanded version of the existing page https://docs.ray.io/en/latest/cluster/kubernetes-gpu.html
moves managed K8s service intro links to their own page
2022-08-02 15:58:23 -07:00

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(kuberay-k8s-setup)=

Managed Kubernetes services

We collect a few helpful links for users who are getting started with a managed Kubernetes service.

:::{tabbed} GKE (Google Cloud) You can find the landing page for GKE here. If you have an account set up, you can immediately start experimenting with Kubernetes clusters in the provider's console. Alternatively, check out the documentation and quickstart guides. To successfully deploy Ray on Kubernetes, you will need to configure pools of Kubernetes nodes; find guidance here. :::

:::{tabbed} EKS (Amazon Web Services) You can find the landing page for EKS here. If you have an account set up, you can immediately start experimenting with Kubernetes clusters in the provider's console. Alternatively, check out the documentation and quickstart guides. To successfully deploy Ray on Kubernetes, you will need to configure groups of Kubernetes nodes; find guidance here. :::

:::{tabbed} AKS (Microsoft Azure) You can find the landing page for AKS here. If you have an account set up, you can immediately start experimenting with Kubernetes clusters in the provider's console. Alternatively, check out the documentation and quickstart guides. To successfully deploy Ray on Kubernetes, you will need to configure pools of Kubernetes nodes; find guidance here. :::