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1、The container used is " tensorflow/tensorflow:2.16.1-gpu "
2、There is no configuration for the gpu application in the yaml file
3、You can see the pod pid in the nvidia-smi command
It seems that this pod will be displayed on all free graphics cards, I don't use any gpu virtualization tools, I don't know if it takes up this video card
The text was updated successfully, but these errors were encountered:
ZYWNB666
changed the title
The cuda container does not apply for gpu resources, but the pid can be found using nvidia-smi
Containers that use cuda images in k8s do not have gpu resources, but the process id can be seen using nvidia-smi
Sep 12, 2024
1、The container used is " tensorflow/tensorflow:2.16.1-gpu "
2、There is no configuration for the gpu application in the yaml file
3、You can see the pod pid in the nvidia-smi command
It seems that this pod will be displayed on all free graphics cards, I don't use any gpu virtualization tools, I don't know if it takes up this video card
The text was updated successfully, but these errors were encountered: