Jellyfin hardware acceleration docker issues.

https://lemmy.world/post/20015319

Jellyfin hardware acceleration docker issues. - Lemmy.World

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 [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.

Isn’t your GPU an Nvidia RTX 2060? Why are you trying to use the Intel GPU acceleration method? I’m confused
It just seemed the easiest route, but I may just give using the GPU a go.
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
QSV is the highest quality video transcoding hardware acceleration out there. It’s worth using if you have a modern Intel CPU (8th gen or newer)