ray-cluster.no-dashboard.yaml

# 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