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apiVersion: apps/v1
kind: Deployment
metadata:
  name: flower
  labels:
    app: flower
spec:
  #set up the number of replicas that you want
  replicas: 3
  selector: 
    matchLabels: 
      app: flower
  template: 
    metadata: 
      labels:
        app: flower
    spec: 
      volumes:
      - name: models
        nfs:
          server: <IP address of the server>
          path: <path/to/flowerdemo/model/files>
          readOnly: false
      containers:
        - name: flower
          ports:
          - containerPort: 8000
            name: http-triton
          - containerPort: 8001
            name: grpc-triton
          - containerPort: 8002
            name: metrics-triton
          image: "nvcr.io/nvidia/tritonserver:<latest version>"
          volumeMounts:
          - mountPath: /models
            name: models
          command: ["/bin/sh", "-c"]
          args: ["cd /models /opt/tritonserver/bin/tritonserver --model-repository=/models --allow-gpu-metrics=false --strict-model-config=false"]
          resources:
            limits:
              #this is an example using a 5GB MIG slice of A100, you can use a whole GPU too
              <nvidia.com/mig-1g.5gb: 1>

