Does anyone have a compose.yaml for an Nvidia GPU that works that they would like to share? Here’s my current file, it gives a white screen with “server error” on it: https://pastebin.com/AaV17cTz

I went through Jellyfin’s instructions on setting a GPU up, but the instructions weren’t clear (in my opinion) so who knows if it’s correct. I installed some Nvidia tools as a prerequisite and ‘nvidia-smi’ shows the card. I attached my Jellyfin settings from before it self-destructed according to Nvidia’s transcoding matrix (which also wasn’t descriptive enough in my opinion), do they look right for a 2080?

Update: after making this post, and changing nothing, it suddenly works

  • TRBoomEnglish
    4•13 hours ago

    Here’s mine, no judging for how I set the ip

    name: jellyfin
services:
    jellyfin:
        container_name: jellyfin.live
        networks:
            mynet:
                ipv4_address: 192.168.5.3
        ports:
            - 8096:8096
        volumes:
            - jellyfin-config:/config
            - jellyfin-cache:/cache
            - type: bind
              source: /mnt
              target: /Media Disk 1
            - type: bind
              source: /mnt
              target: /Media Disk 2
            - type: bind
              source: /mnt
              target: /Media Disk 3
        environment:
            - HEALTHCHECK_URL=192.168.5.3
        restart: unless-stopped
        deploy:
            resources:
                reservations:
                    devices:
                        - driver: nvidia
                          count: all
                          capabilities:
                              - gpu
        image: jellyfin/jellyfin:latest
networks:
    mynet:
        external: true
        name: mynet
volumes:
    jellyfin-config:
        external: true
        name: jellyfin-config
    jellyfin-cache:
        external: true
        name: jellyfin-cache

    The section on the GPU looks like yours. I had to do something to get it working, but it’s been forever.

  • @HybridSarcasm@lemmy.worldMEnglish
    4•14 hours ago

    The biggest concern here would be 1) have you installed the Nvidia container toolkit, and 2) how are you passing the GPU into the Jellyfin docker container.

    I’ve got an Ansible-playbook that takes care of the Nvidia stuff. I’ve also got a compose file I can share. Will edit this post when I can provide a link.

  • @LadyMeow@lemmy.blahaj.zoneEnglish
    1•10 hours ago

    Here are some relevant stuff, also have nvidia drivers and vids libs installed.

    Running in a podman quadlet on fedora

    After=nvidia-cdi-generator

    [Container]

    Image=docker.io/jellyfin/jellyfin

    PodmanArgs=–privileged --gpus=all

    Environment=NVIDIA_VISIBLE_DEVICES=all

    AddDevice=/dev/dri/card0:/dev/dri/card0

  • jia_tanEnglish
    3•14 hours ago

    I have an intel igpu. It was hella painful to pass through the guy into a normal container and I never figured it out. I just ended up running the container with the —privileged flag. QuickSync hwaccel works fine now, I assume it would be the same for NVENC, since the flag basically just passes everything to the container.

    • @DonutsRMeh@lemmy.worldEnglish
      3•12 hours ago

      Man, I have an intel iGPU myself, in a little Dell optiplex 7090 and it was a breeze on my Debian sever. Installed through apt and it’s running as a systemd service. No issues so far. Only one issue I had was when I played a 70GB 4k HDR movie that’s loaded with audio and subs and picture enhancements on my OLED TV. The server’s little fan was screaming and the movie kept pausing every 20 seconds. Other than that I have a ton of other movies and shows and I have no issues.

    • EbbyAEnglish
      1•13 hours ago

      I use Intel too and had a heck of a time getting things working with portainer. Turns out portainer only worked with Nvidia (at least the version I used when I set it up). If I spun up the container via terminal, it worked.

      I think a newer version may have added compatibility because I don’t remember jumping through hoops with Immich.

  • @the_shwa@programming.devEnglish
    1•11 hours ago

    This works for me, rtx 4050

       jellyfin:
     image: jellyfin/jellyfin:latest
     container_name: jellyfin
     user: 108:114
     network_mode: 'host'
     environment:
       - JELLYFIN_CACHE_DIR=/var/cache/jellyfin
       - JELLYFIN_CONFIG_DIR=/etc/jellyfin
       - JELLYFIN_DATA_DIR=/var/lib/jellyfin
       - JELLYFIN_LOG_DIR=/var/log/jellyfin
       - JELLYFIN_PublishedServerUrl=URL_REDACTED
       - NVIDIA_DRIVER_CAPABILITIES=all
       - NVIDIA_VISIBLE_DEVICES=all
     volumes:
       - /etc/jellyfin:/etc/jellyfin
       - /mnt/driveF/jellyfin/cache:/var/cache/jellyfin
       - /mnt/driveF/jellyfin/data:/var/lib/jellyfin
       - /mnt/driveF/jellyfin/log:/var/log/jellyfin
       - /mnt/Movies:/movies
       - /mnt/TV:/tv
       - /mnt/Music:/music
     runtime: nvidia
     deploy:
       resources:
         reservations:
           devices:
             - driver: nvidia
               count: all
               capabilities: [gpu]
     restart: 'unless-stopped'
     extra_hosts:
       - "host.docker.internal:host-gateway"