Google Datalab安装Nvidia驱动后Docker容器启动失败求助

Hey there, let's tackle this issue you're facing—your Datalab GPU instance created successfully, but the cos-gpu-installer containers are exiting with code 2. Exit code 2 here almost always points to a problem with GPU driver installation, so let's walk through the most common fixes:

• Double-check GPU Quotas & Instance Compatibility
  First off, make sure your GCP project has enough GPU quota for the region you're using, and that the instance type you picked supports the GPU model you selected (e.g., N1 instances work with Tesla K80, T4, etc.). Also, some regions might have temporary GPU stock shortages, which can block driver installation from completing.

• Dig Into Container Logs for Exact Errors
  Exit code 2 is a generic failure signal—you need to see the actual log output to know what's broken. Grab the logs for one of the failed containers with:

  docker logs e44d71c07f6e  # Swap in your container's ID here
  

  Common culprits here include mismatched driver versions with the COS image, network issues preventing driver downloads, or missing API permissions for GPU-related services.

• Manually Re-Run the GPU Installer Container
  If the logs show a temporary network glitch or download failure, you can manually restart the installer with the right privileges:

  docker run --privileged --net=host -v /var/lib/nvidia:/var/lib/nvidia -v /usr/lib/nvidia:/usr/lib/nvidia gcr.io/cos-cloud/cos-gpu-installer:latest
  

  The --privileged flag is critical here—installing GPU drivers needs system-level access to the host machine.

• Verify GPU Hardware is Detected
  Log into your instance and run this command to check if the GPU is even being recognized by the system:

  lspci | grep -i nvidia
  

  If you get no output, that means the GPU wasn't properly attached to the instance. You'll need to delete and recreate the instance, making sure you correctly select the GPU configuration during setup.

• Check Instance Startup Logs
  Datalab GPU instances run an automated startup script to set up the GPU environment. Head to the instance's details page in the GCP Console, go to the Logs section, and search for entries related to "gpu-installer"—this might reveal exactly where the setup process is failing.

内容的提问来源于stack exchange，提问作者sethmuss