nvidia ds with time slicing aks

deploy.yaml

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: nvidia-device-plugin-daemonset
  namespace: kube-system
spec:
  selector:
    matchLabels:
      name: nvidia-device-plugin-ds
  updateStrategy:
    type: RollingUpdate
  template:
    metadata:
      labels:
        name: nvidia-device-plugin-ds
    spec:
      tolerations:
      - key: nvidia.com/gpu
        operator: Exists
        effect: NoSchedule
      # Mark this pod as a critical add-on; when enabled, the critical add-on
      # scheduler reserves resources for critical add-on pods so that they can
      # be rescheduled after a failure.
      # See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/
      priorityClassName: "system-node-critical"
      containers:
      - image: nvcr.io/nvidia/k8s-device-plugin:v0.14.0
        name: nvidia-device-plugin-ctr
        env:
          - name: CONFIG_FILE
            value: "/opt/config/config.yaml"
        securityContext:
          privileged: true
        volumeMounts:
        - name: device-plugin
          mountPath: /var/lib/kubelet/device-plugins
        - name: config
          mountPath: "/opt/config"
      volumes:
      - name: device-plugin
        hostPath:
          path: /var/lib/kubelet/device-plugins
      - name: config
        configMap:
          name: nvidia-config
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: nvidia-config
  namespace: kube-system
  labels:
    app: nvidia
data:
  config.yaml: |-
    version: v1
    flags:
      migStrategy: "none"
      failOnInitError: false
      nvidiaDriverRoot: "/"
      plugin:
        passDeviceSpecs: true
    sharing:
      timeSlicing:
        resources:
        - name: nvidia.com/gpu
          replicas: 10