this post was submitted on 16 Oct 2023
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NVIDIA GPU on a docker headless system (lemmy.world)
submitted 1 year ago* (last edited 1 year ago) by Trincapinones@lemmy.world to c/selfhosted@lemmy.world
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Hi there! I have an old pc that I use as a server (I use Ubuntu Server) and I would like to add a NVIDIA 1050 to it (for jellyfin and guacamole).

In the past I tried to do it and somehow I corrupted the system when installing the video drivers, I have always had complications when installing NVIDIA drivers on Linux.

Could any of you help me know what is the right way to install the video drivers on a headless system and use it correctly with docker compose?

Thanks in advance πŸ˜„

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[–] Trincapinones@lemmy.world 1 points 1 year ago (1 children)

Thank you! Last time I used the official desktop drivers because most guides recommended them. When I install the NVIDIA Container Toolkit, I can include the GPU in the runtime of the container and it should work, right?

[–] fraydabson@sopuli.xyz 3 points 1 year ago* (last edited 1 year ago)

I used the desktop drivers as well (on arch from the extra repo) for my headless arch server.

Regarding nvidia container toolkit once it was installed I added this to my Jellyfin docker compose:

deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              capabilities: [gpu]

Then to confirm, I did docker exec -it jellyfin nvidia-smi Which responded with my GPU. Note that (for me) the "processes" part of nvidia-smi comes up blank, even when Jellyfin is using it. I can tell it is working though from jellyfin logs and when it is not using it, instead of being blank it says "no processes"

Edit for formatting and to add that I believe I also had to add an environment variable to jellyfin (I am using lsio's version)

      - NVIDIA_DRIVER_CAPABILITIES=all
      - NVIDIA_VISIBLE_DEVICES=all