I am running ubuntu with casa os. I was previously running an intel apu (the name has slipped me I will update the post when I can with this info). Recently I got a 1650 that I installed for nvenc transcoding. It seems all the proper drivers are installed but my jellyfin container still fails playback anytime with it turned on.
I have reinstalled the container with the nvidia device variable and no dice. I have also tried installing the nvidia cintainer toolkit but that didn’t work either. I am at a loss for trying to get nvenc to work.
Any help is appreciated!
EDIT: here is the ffmpeg log file
EDIT 2: It was a problem with my docker compose file! I didn’t list the needed devices from the jellyfin documentation. I thought the Container was detecting the gpu but it wasn’t. Docker exec <container-name> nvidia-smi is your friend!
EDIT 3: so now it doesnt kick me out saying the playback failed but its just a black screen with 4k media
EDIT 4: nvm i just didnt have the proper jellytin transcode settings set lol
What’s the output of nvidia-smi on host? What is “casa os”? Do you have the Nvidia container cuda runtime installed? What’s your docker-compose.yml look like?
For me on Debian it worked pretty much out of the box, I just installed the cuda toolkit, blacklisted nouveau, and added this to docker-compose.yml:
environment: NVIDIA_DRIVER_CAPABILITIES: all NVIDIA_VISIBLE_DEVICES: all deploy: resources: reservations: devices: - capabilities: [gpu]
It works both in Immich and Jellyfin.
Casaos is just a server ui for ubuntu to manage docker and other settings:
https://casaos.io/
Here is the output of nvidia-smi (sorry for the picture if my monitor. It’s late and I blanking on my lemmy pass and cannot sign in on the pc itself to send a screen cap lol):
I used several different jellyfin images posted in casaos appstore along with the official nvidia documentation. It still does not want to work:
services: jellyfin: image: jellyfin/jellyfin user: 1000:1000 network_mode: 'host' volumes: - /DATA/AppData/jellyfin/config:/config - /DATA/AppData/jellyfin/cache:/cache - /DATA/AppData/jellyfin/media:/media - /mnt/drive1/media:/mnt/drive1/media - /mnt/drive2/Jellyfin:/mnt/drive2/Jellyfin - /mnt/drive3:/mnt/drive3 - /mnt/drive4/media:/mnt/drive4/media - /mnt/drive5/jellyfin:/mnt/drive5/jellyfin - /mnt/drive6/jellyfin:/mnt/drive6/jellyfin runtime: nvidia deploy: resources: reservations: devices: - driver: nvidia - /dev/nvidia-caps:/dev/nvidia-caps - /dev/nvidia0:/dev/nvidia0 - /dev/nvidiactl:/dev/nvidiactl - /dev/nvidia-modeset:/dev/nvidia-modeset - /dev/nvidia-uvm:/dev/nvidia-uvm - /dev/nvidia-uvm-tools:/dev/nvidia-uvm-tools count: all capabilities: [gpu] ```
Have you tried removing all that stuff?
I’m talking about:
- driver: nvidia - /dev/nvidia-caps:/dev/nvidia-caps - /dev/nvidia0:/dev/nvidia0 - /dev/nvidiactl:/dev/nvidiactl - /dev/nvidia-modeset:/dev/nvidia-modeset - /dev/nvidia-uvm:/dev/nvidia-uvm - /dev/nvidia-uvm-tools:/dev/nvidia-uvm-tools count: all
And just leave it with:
deploy: resources: reservations: devices: count: all capabilities: [gpu]
Finally, make sure you have the cuda docker toolkit installed.
https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
Make sure to then test with:
sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
As per:
https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/sample-workload.html
EDIT: NVM see you fixed it! Could you post your final docker-compose.yml for reference? I would like to dive deep and figure out why some people need to add more to their docker-compose.yml and some don’t.