Open Todoroki02 opened 1 year ago
root@ttogpu:~# kubectl describe pod triton-inference-server-5b6c7f889c-f54c6 Name: triton-inference-server-5b6c7f889c-f54c6 Namespace: default Priority: 0 Service Account: default Node: <none> Labels: app=triton-inference-server pod-template-hash=5b6c7f889c Annotations: <none> Status: Pending IP: IPs: <none> Controlled By: ReplicaSet/triton-inference-server-5b6c7f889c Containers: triton-server: Image: triton_server:latest Ports: 8000/TCP, 8001/TCP, 8002/TCP Host Ports: 0/TCP, 0/TCP, 0/TCP Limits: nvidia.com/gpu: 1 Requests: nvidia.com/gpu: 1 Environment: DP_DISABLE_HEALTHCHECKS: xids Mounts: /models from model-repository (rw) /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-sczwq (ro) Conditions: Type Status PodScheduled False Volumes: model-repository: Type: HostPath (bare host directory volume) Path: /path/to/host/model/directory HostPathType: kube-api-access-sczwq: Type: Projected (a volume that contains injected data from multiple sources) TokenExpirationSeconds: 3607 ConfigMapName: kube-root-ca.crt ConfigMapOptional: <nil> DownwardAPI: true QoS Class: BestEffort Node-Selectors: <none> Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s node.kubernetes.io/unreachable:NoExecute op=Exists for 300s nvidia.com/gpu:NoSchedule op=Exists Events: Type Reason Age From Message ---- ------ ---- ---- ------- Warning FailedScheduling 2m58s default-scheduler 0/1 nodes are available: 1 Insufficient nvidia.com/gpu. preemption: 0/1 nodes are available: 1 No preemption victims found for incoming pod..
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