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

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[–] 3 points 8 months ago* (last edited 8 months ago)

Jellyfin isn’t the most secure piece of software out there, I would avoid giving it permissions it doesn’t need.


Step 1) Check /dev/dri for the GPU

user@debian:~/compose$ ls /dev/dri
total 0
drwxr-xr-x  3 root root        120 Jan 25 11:50 .
drwxr-xr-x 18 root root       3360 Feb 11 03:03 ..
drwxr-xr-x  2 root root        100 Jan 25 11:50 by-path
crw-rw----  1 root video  226,   0 Jan 25 11:50 card0
crw-rw----  1 root video  226,   1 Jan 25 16:39 card1
crw-rw----  1 root render 226, 128 Jan 25 11:50 renderD128

Documentation indicates renderDXXX typically refers to Intel GPU’s

Make sure at least one renderD* device exists in /dev/dri. Otherwise upgrade your kernel or enable the iGPU in the BIOS.

  1. Edit your docker-compose.yaml and add this In your Jellyfin block
devices:
 - /dev/dri/renderD128:/dev/dri/renderD128
  1. Start your container and enter it to verify the device is recognized.

sudo docker compose up -d; sudo docker exec -it jellyfin bash

Once inside ls /dev/dri to confirm the GPU is recognized inside the container, once you confirm it then you can exit the container.

user@debian:~/compose$ sudo docker exec -it jellyfin bash
I have no name!@jellyfin:/$ ls /dev/dri
renderD128
I have no name!@jellyfin:/$ exit
exit
user@debian:~/compose$
  1. On the Jellyfin dashboard go to the hardware acceleration page and follow the notes left by Jellyfin devs.

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