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| # This example config does not specify resource requests or limits. | |
| # For examples with more realistic resource configuration, see | |
| # ray-cluster.complete.large.yaml and | |
| # ray-cluster.autoscaler.large.yaml. | |
| apiVersion: ray.io/v1alpha1 | |
| kind: RayCluster | |
| metadata: | |
| labels: | |
| controller-tools.k8s.io: "1.0" | |
| # An unique identifier for the head node and workers of this cluster. | |
| name: raycluster-mini | |
| spec: | |
| rayVersion: '2.4.0' # should match the Ray version in the image of the containers | |
| # Ray head pod template | |
| headGroupSpec: | |
| # The `rayStartParams` are used to configure the `ray start` command. | |
| # See https://github.com/ray-project/kuberay/blob/master/docs/guidance/rayStartParams.md for the default settings of `rayStartParams` in KubeRay. | |
| # See https://docs.ray.io/en/latest/cluster/cli.html#ray-start for all available options in `rayStartParams`. | |
| rayStartParams: | |
| include-dashboard: "False" | |
| dashboard-host: '0.0.0.0' | |
| #pod template | |
| template: | |
| spec: | |
| containers: | |
| - name: ray-head | |
| image: rayproject/ray:2.4.0 | |
| resources: | |
| limits: | |
| cpu: 1 | |
| memory: 2Gi | |
| requests: | |
| cpu: 500m | |
| memory: 2Gi | |
| ports: | |
| - containerPort: 6379 | |
| name: gcs-server | |
| - containerPort: 8265 # Ray dashboard | |
| name: dashboard | |
| - containerPort: 10001 | |
| name: client |
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