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CUDA-specific environment variables are dynamically set by the nvidia kubernetes operator and the node's kubelet when a command in a pod or kubectl exec -it ... is run. This allows the user to access the GPU in their python programs and through nvidia-smi.
Currently, these environment variables are currently not set when we run ssh mycluster. As a result, the GPU is unavailable when the user ssh's into the cluster for debugging.
This is related to #2287 and should be closed by #2435.
The text was updated successfully, but these errors were encountered:
CUDA-specific environment variables are dynamically set by the nvidia kubernetes operator and the node's kubelet when a command in a pod or
kubectl exec -it ...
is run. This allows the user to access the GPU in their python programs and throughnvidia-smi
.Currently, these environment variables are currently not set when we run
ssh mycluster
. As a result, the GPU is unavailable when the user ssh's into the cluster for debugging.This is related to #2287 and should be closed by #2435.
The text was updated successfully, but these errors were encountered: