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Browse files- podcreate.yaml +59 -0
podcreate.yaml
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apiVersion: v1
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kind: Pod
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metadata:
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name: speedtest
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namespace: speedtest
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labels:
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app: dev
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spec:
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restartPolicy: Never
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containers:
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- name: dev-container
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image: registry.hd-02.alayanew.com:8443/liujw/pytorch:1.0.0
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imagePullPolicy: Always
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resources:
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requests: # Added resource requests
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memory: "400G"
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cpu: "26"
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nvidia.com/gpu-h100-80gb-hbm3: 2
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rdma/rdma_shared_device_a: 1
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rdma/rdma_shared_device_b: 1
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limits:
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memory: "400G" # Added memory limit
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cpu: "26" # Added CPU limit
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nvidia.com/gpu-h100-80gb-hbm3: 2
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rdma/rdma_shared_device_a: 1
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rdma/rdma_shared_device_b: 1
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env:
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- name: NCCL_IB_DISABLE
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value: "0"
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- name: NCCL_SOCKET_IFNAME
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value: "eth0"
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- name: NCCL_IB_HCA
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value: "ib7s"
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ports: # 添加端口映射
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- containerPort: 80 # 容器内应用的端口
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name: http-port
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protocol: TCP
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command: ["sh", "-c", "tail -f /dev/null"]
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volumeMounts:
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- name: workspace
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mountPath: "/workspace"
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- name: dshm
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mountPath: /dev/shm
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imagePullSecrets:
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- name: harbor-secret
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volumes:
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- name: workspace
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persistentVolumeClaim:
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claimName: pvc-capacity-userdata
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- name: dshm
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emptyDir:
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medium: Memory
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sizeLimit: 400G
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tolerations:
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- key: nvidia.com/gpu
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operator: Exists
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effect: NoSchedule
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