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Jellyfin on Proxmox (feddit.de)

submitted 1 year ago by glasgitarrewelt@feddit.de to c/selfhosted@lemmy.world

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I want to use Jellyfin on Proxmox, if that is a thing. After reading a post here where most people recommended Debian as host OS I want to make a VM running Debian and install Jellyfin Server there.

Now I have a few questions:

I see many people install Jellyfin via docker. Does that have any advantages? I would prefer to avoid docker as it adds a level of complexity for me.
where do I save my media? I have a loose plan to run a second VM running openMediaVault where all my HDDs are passed through and then use NFS to mount a folder on the Jellyfin VM. Is that a sane path?
what do I have to consider on Proxmox, to get the best hardware results on Jellyfin? Do I need some special passthrough magic to get it running smoothly? I don't have a dedicated GPU, does that make the configuration easier?

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[–] GunnarGrop@lemmy.ml 1 points 1 year ago (2 children)

I'm currently running Jellyfin on a VM in Proxmox and have been for a long time, it works great. My storage solution isn't glorious, but it is simple. I just have a Debian LXC container in proxmox that bind mounts a large disk and exposes that through an NFS share. Then I've installed jellyfin with Podman/Docker on a VM that has that NFS share mounted.

Also, a lot of people have already said this, but Podman/Docker only looks intimidating before you use it. It's A LOT easier to get applications running then using the "traditional way". The only thing that could potentially increase complexity for you is to expose a GPU to the docker container. But since you said you don't have a dedicated GPU I'd strongly recommend using a docker container for the job. Once you've used it, you'll never look back.

[–] Damage@feddit.it 1 points 1 year ago

Hey, since I'll be going down that same road soon, any tips on GPU passthrough? Can I simply follow the proxmox wiki?

[–] dan@upvote.au 1 points 1 year ago

The only thing that could potentially increase complexity for you is to expose a GPU to the docker container.

This isn't that difficult either. Most of it is ensuring the host system sees the GPU, and configuring the Docker container to pass through the correct device.