Help Center> Cloud Container Engine> FAQs> Node> Node Running> How Do I Rectify Failures When the NVIDIA Driver Is Used to Start Containers on GPU Nodes?
Updated on 2022-08-15 GMT+08:00

How Do I Rectify Failures When the NVIDIA Driver Is Used to Start Containers on GPU Nodes?

Did a Resource Scheduling Failure Event Occur on a Cluster Node?

Symptom

A node is running properly and has GPU resources. However, the following error information is displayed:

0/9 nodes are available: 9 insufficient nvidia.com/gpu

Analysis

  1. Check whether the node is attached with NVIDIA label.

  2. Check whether the NVIDIA driver is running properly.
    Log in to the node where the add-on is running and view the driver installation log in the following path:
    /opt/cloud/cce/nvidia/nvidia_installer.log

    View standard output logs of the NVIDIA container.

    Filter the container ID by running the following command:

    docker ps –a | grep nvidia

    View logs by running the following command:

    docker logs Container ID

What Should I Do If the NVIDIA Version Reported by a Service and the CUDA Version Do Not Match?

Run the following command to check the CUDA version in the container:

cat /usr/local/cuda/version.txt

Check whether the CUDA version supported by the NVIDIA driver version of the node where the container is located contains the CUDA version of the container.

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