Prompt

Why do my containers fail to see the GPU on this server?

Artificial Intelligence / AI Infrastructure1 observationLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

Most often this happens because the GPU is visible to the host, but the container runtime isn’t actually passing the device into the container.

Common causes:

  1. No NVIDIA container runtime / toolkit installed

    • Docker/Podman won’t expose GPUs unless NVIDIA Container Toolkit is installed and configured.
  2. Container started without GPU access

    • For Docker you usually need something like:
      docker run --gpus all ...
      
    • Without --gpus, the container won’t see the GPU.
  3. Wrong container image

    • The image may not include NVIDIA user-space libraries or CUDA support.
    • Some images are CPU-only even if run on a GPU host.
  4. Driver mismatch

    • The host has a driver, but the container expects different CUDA/runtime versions.
    • Usually the host driver must be new enough for the CUDA version in the container.
  5. Permissions / cgroup / device access issue

    • The container may not have access to /dev/nvidia* devices.
    • Security settings, rootless Docker, or restrictive cgroups can block them.
  6. GPU driver not healthy on the host

    • Check the host first:
      nvidia-smi
      
    • If that fails on the host, containers won’t work either.

Quick checks:

  • On host:
    nvidia-smi
    docker info | grep -i nvidia
    
  • In container:
    ls -l /dev/nvidia*
    nvidia-smi
    

If you want, I can help you debug it step-by-step if you paste:

  • host OS
  • container runtime (Docker/Podman/Kubernetes)
  • output of nvidia-smi on the host
  • the exact container run command or compose file

Observation history

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