Having a bit of trouble getting hardware acceleration working on my home server. The cpu of the server is an i7-10700 and has a discrete GPU, RTX 2060. I was hoping to use intel quick sync for the hardware acceleration, but not having much luck.

From the guide on the jellyfin site https://jellyfin.org/docs/general/administration/hardware-acceleration/intel

I have gotten the render group ID using “getent group render | cut -d: -f3” though it mentions on some systems it might not be render, it may be video or input which i tried with those group ID’s as well.

When I run “docker exec -it jellyfin /usr/lib/jellyfin-ffmpeg/vainfo” I get back

libva info: VA-API version 1.22.0
libva info: Trying to open /usr/lib/jellyfin-ffmpeg/lib/dri/nvidia_drv_video.so
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/nvidia_drv_video.so
libva info: Trying to open /usr/lib/dri/nvidia_drv_video.so
libva info: Trying to open /usr/local/lib/dri/nvidia_drv_video.so
libva info: va_openDriver() returns -1
vaInitialize failed with error code -1 (unknown libva error),exit

I feel like I need to do something on the host system since its trying to use the discrete card? But I am unsure.

This is the compose file just in case I am missing something

version: "3.8"
services:
  jellyfin:
    image: jellyfin/jellyfin
    user: 1000:1000
    ports:
      - 8096:8096
    group_add:
      - "989" # Change this to match your "render" host group id and remove this comment
      - "985"
      - "994"
    # network_mode: 'host'
    volumes:
      - /home/hoxbug/Docker/jellyfin/config:/config
      - /home/hoxbug/Docker/jellyfin/cache:/cache
      - /mnt/External/Movies:/Movies
    devices:
      - /dev/dri/renderD128:/dev/dri/renderD128
networks:
  external:
    external: true

Thank you for the help.

  • bobslaede@feddit.dk
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    4 hours ago

    This is how mine works, with a Nvidia GPU

    services:
      jellyfin:
        volumes:
          - jellyfin_config:/config
          - jellyfin_cache:/cache
          - type: tmpfs
            target: /cache/transcodes
            tmpfs:
              size: 8G
          - media:/media
        image: jellyfin/jellyfin:latest
        restart: unless-stopped
        deploy:
          resources:
            reservations:
              devices:
                - driver: nvidia
                  device_ids:
                    - "0"
                  capabilities:
                    - gpu
    
  • Saiwal@hub.utsukta.org
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    6 hours ago

    On my system i was able to use my integrated iGPU wit the follwing:

        devices:     - /dev/dri:/dev/dri
    

    The rest of your compose looks fine.

  • Sneezycat@sopuli.xyz
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    5 hours ago

    Isn’t your GPU an Nvidia RTX 2060? Why are you trying to use the Intel GPU acceleration method? I’m confused

      • __ghost__@lemmy.ml
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        55 minutes ago

        From personal experience intel QSV wasn’t worth the trouble to txshoot on my hardware. Mine is a lot older than yours though. Vaapi has worked well on my arc card