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.

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
What is the tmpfs for?
Temp files for transcoding. No need to hit the disk.
Is the tmpfs on RAM?
Aye.