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

  • TRBoom@lemmy.zipEnglish
    4·
    3 months 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.

  • the_shwa@programming.devEnglish
    4·
    3 months ago

    This works for me, rtx 4060

       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"
  • HybridSarcasm@lemmy.worldMEnglish
    21·
    3 months 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.

      • Kushan@lemmy.worldEnglish
        1·
        3 months ago

        In your compose file, make sure you’ve added runtime: nvidia.

        You also don’t need to deploy the resources and reserve the GPU, you can remove the entire deploy section when using the nvidia runtime.