GKE 无法在具有 GPU 的新添加节点上调度需要 GPU 的新创建的 Pod

当使用 GPU 添加新的池节点时，Google Kubernetes Engine 无法在这些新节点上安排需要 GPU 的新创建的 Pod，应该是自动的，但我猜不是 GPU 资源，新的 Pod 永远处于“待定”状态，如何解决这个问题?

编辑：这是部署 yaml 文件，我的目标是不将部署绑定到特定节点：

    ---
    apiVersion: machinelearning.seldon.io/v1alpha2
    kind: SldDeployment
    metadata:
      labels:
        app: sld
      name: trs-sld
      namespace: trs
    spec:
      annotations:
        project_name: Trs
        deployment_version: v1.0
        seldon.io/rest-connect-retries: '5'
        seldon.io/grpc-connect-retries: '5'
        seldon.io/istio-retries: '10' 
        seldon.io/istio-retries-timeout: '12' 
      name: trs
      predictors:
      - componentSpecs:
        - spec:
            containers:
            - image: eu.gcr.io/trs-141513/trs-native:latest
              imagePullPolicy: Always
              name: classifier
              resources:
                limits:
                  nvidia.com/gpu: 2
              volumeMounts:
                - mountPath: /etc/google_storage/creds
                  name: service-account-creds
                  readOnly: true
            volumes:
              - name: service-account-creds
                secret:
                  secretName: service-account-creds
            terminationGracePeriodSeconds: 20
        graph:
          children: []
          name: classifier
          endpoint:
            type: REST
          type: MODEL
        name: model
        replicas: 1
        annotations:
          predictor_version: v1.0
    ---