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.
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
I have an arc for transcoding, and I had to set the device to /dev/dri without the renderD128 part. If I were you, I would just use the 2060. If it’s there for llama or something I’d still try it and see how it does doing both at once, as it should be separate parts of the gpu handling that.
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I have an arc for transcoding, and I had to set the device to /dev/dri without the renderD128 part. If I were you, I would just use the 2060. If it’s there for llama or something I’d still try it and see how it does doing both at once, as it should be separate parts of the gpu handling that.