this post was submitted on 07 May 2024
67 points (91.4% liked)

Selfhosted

39254 readers
189 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

  1. Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.

  2. No spam posting.

  3. Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.

  4. Don't duplicate the full text of your blog or github here. Just post the link for folks to click.

  5. Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).

  6. No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago
MODERATORS
 

Hey everyone, I'm building a new server to run Jellyfin (with a few other services like Pi-hole) and I'm stuck on GPU or CPU transcoding.

My main concern is smooth 4K HDR transcoding for 1 stream. I've been reading mixed advice online – some people say a strong CPU with good single-core performance can handle it, while others recommend a dedicated GPU.

Should I focus my budget (~$1000AUD/$658USD) on a good CPU, or spend some of it on a dedicated GPU?

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 2 points 4 months ago (1 children)

Setups for hardware decoding are based on the underlying OS. An example quite common is docker on Debian or Ubuntu. You will need to pass the appropriate /dev/ directories and at times files into your jellyfin docker container with the device environment variable. Commonly that would be /dev/dri

It gets more complicated with a vm because you are likely going to be passing the hardware directly into the vm which will prevent other devices outside the vm from using it.

You can get around this by placing docker directly on the os or placing docker in a Linux container with appropriate permissions and the same devices passed into the Linux container. In this manner system devices and other services will still have access the the video card.

All this to say it depends on your setup and where you have docker installed how you will pass the hardware into jellyfin. However jellyfin on docker will need you to pass the video card into the container with the device environment variable. Docker will need to see the device to be able to do that.

[–] [email protected] 2 points 4 months ago (1 children)

I've been using podman due to its low overhead.

[–] [email protected] 3 points 4 months ago

Nothing but love for that project. I've been using docker-ce and docker-compse. I had portainer-ce but just got tired of it. It's easier for me to just make a compose file and get things working exactly like I want.