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Hi, The training operator failed to start in OpenShift cluster v4.10.30 with error:
# oc -n kubeflow get pod NAME READY STATUS RESTARTS AGE training-operator-5cc8cdfdd6-fpthk 0/1 CreateContainerError 0 2m29s
Warning Failed 113s kubelet Error: container create failed: time="2022-09-14T11:35:13Z" level=error msg="runc create failed: unable to start container process: container init was OOM-killed (memory limit too low?)"
System info: OCP - v4.10.30 Worker node - NVIDIA DGX A100
The proposed solution to resolve the issue to increase the limit in daemonset deployment to:
resources: limits: cpu: 500m memory: 300Mi
Best regards, Vitaliy
The text was updated successfully, but these errors were encountered:
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Hi,
The training operator failed to start in OpenShift cluster v4.10.30 with error:
System info:
OCP - v4.10.30
Worker node - NVIDIA DGX A100
The proposed solution to resolve the issue to increase the limit in daemonset deployment to:
Best regards,
Vitaliy
The text was updated successfully, but these errors were encountered: