My bad sorry should have thought about making an official matrix account and testing there. Based off of what I can tell my ntfy container is working because it works flawlessly with an official matrix account.

That leaves me with two ideas so far, there is something wrong with matrix dendrite container, or my vps coturn server (which I forgot to mention). It looks like traffic is coming through just fine on my co turn server though. I am curious if this is a firewall issue with my co turn server. That would make the most sense given that element call is also not working on element x.

It’s weird though because calling works on seperate networks just fine so I had assumed that my co turn server just worked. Odd.

Edit: I think it is the turn server even though my calls are going through. I went to my maytrix url with “/_matrix/client/r0/voip/turnServer” to diagnose webrtc and it says “errcode: ‘M_MISSING_TOKEN’” "error: ‘missing access token’ "

Is this within a config file for ntfy? When I access it through local host it tells me it needs to be accessed through https. Which I setup through cloudflare tunnels and the error went away.

There was no config file generated for my docker container for ntfy.

Edit: I have fixed this error but notifications still do not work.

I was able to get it working with this docker compose!! Thank you!

I can now sign inyo element x and schildi next! The only problem is none of my chats are showing up and when I create a new room it dissapears as soon as I back out into the chats tab.

Any idea on how to fix it? Do I need a seperate sub domain for the sliding sync proxy?

I am using cloudflare tunnels as of right now. I would be very appreciative if I could take a look at your settings!

In other news, shit spewing liar spews more shit and lies to get more of your money.

He thinks they’re on the wrong side of history my ass. He doesn’t care. He never cared. He will never care. The open source you and I know is completely different than the “open source” this chucklefuck is probably selling you on. “We need to figure out a different open source strategy” should be the biggest indicator here. Take everything he and his circlejerk says with the biggest fucking mountain of salt you can dream of and double it.

THANK YOU ALL!

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: so now it doesnt kick me out saying the playback failed but its just a black screen with 4k media

Edit 2: my bad forgot to enable some transcoding settings in jellyfin lol

This is what thay compose looks like now:

 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: cdi
              device_ids:
               - nvidia.com/gpu=all
            - /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]

Edit: when I try and compose up it says “yaml: lin 30 mapping values are not allowed in this context” when I remove line 30 and 31 the output is “validating /DATA/AppData/jellyfin/docker-compose.yml: services.jellyfin.deploy.resources.reservations.devices.1 must be a mapping”

I tried this and it says:

OCI runtime exec failed: unable to start container process: exec: “nvidia-smi”: executable file not found im $PATH: unknown

I ran it as two commands instead of one before and still got that error message.

However, I tried again with a different jellyfin image and the command seems to have ran fine.

Here is a pic of my nvidia-smi output:

I followed this guide and seemed to get it working.

https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html

However jellyfin transcoding sttill doesn’t work. I have tried adding the “nvidia devices= all” environment variable, it still didn’t work.

I tried using the docker conpose from here

https://jellyfin.org/docs/general/administration/hardware-acceleration/nvidia/#configure-with-linux-virtualization

But when I try and run this command: “docker exec -it jellyfin ldconfig sudo systemctl restart docker”

It says the container is restarting and to try again when the container has started.