custom-kube-scheduler/kubernetes-v1.15.4/cluster/addons/device-plugins/nvidia-gpu/daemonset.yaml

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: nvidia-gpu-device-plugin
  namespace: kube-system
  labels:
    k8s-app: nvidia-gpu-device-plugin
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  selector:
    matchLabels:
      k8s-app: nvidia-gpu-device-plugin
  template:
    metadata:
      labels:
        k8s-app: nvidia-gpu-device-plugin
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ''
    spec:
      priorityClassName: system-node-critical
      affinity:
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: cloud.google.com/gke-accelerator
                operator: Exists
      tolerations:
      - operator: "Exists"
        effect: "NoExecute"
      - operator: "Exists"
        effect: "NoSchedule"
      volumes:
      - name: device-plugin
        hostPath:
          path: /var/lib/kubelet/device-plugins
      - name: dev
        hostPath:
          path: /dev
      containers:
      - image: "k8s.gcr.io/nvidia-gpu-device-plugin@sha256:08509a36233c5096bb273a492251a9a5ca28558ab36d74007ca2a9d3f0b61e1d"
        command: ["/usr/bin/nvidia-gpu-device-plugin", "-logtostderr"]
        name: nvidia-gpu-device-plugin
        resources:
          requests:
            cpu: 50m
            memory: 10Mi
          limits:
            cpu: 50m
            memory: 10Mi
        securityContext:
          privileged: true
        volumeMounts:
        - name: device-plugin
          mountPath: /device-plugin
        - name: dev
          mountPath: /dev
  updateStrategy:
    type: RollingUpdate