I have a QNAP TS-253D (Celeron J4125, 4GB RAM) hosting all my files. I used to have Jellyfin running on it in a Docker container, but it performed really poorly (which is expected ig). It used to take forever to stream a 1080p movie, and seeking back and forth would freeze the whole thing.
Then I moved my Jellyfin setup to my desktop PC (i9-10850k, 16GB RAM, 2080 Super), the files are still on my NAS. It performs much better now, streaming is a breeze and it almost never freezes or anything.
Problem is, it eats up all my RAM. My RAM usage is 99% almost all the time someone uses Jellyfin and it significantly hampers my regular work on my desktop. I can upgrade my RAM to 32 or 64 GB, but would that solve the problem?
If not, what is the cheapest mini PC or home setup that I can do that’d free up my desktop but still give me similar or at least good enough performance?
Thank you for your advice.
Fyi this sub here is about selfhosting software services, not about any hardware purchase or upgrade advice.
Consider subs like /r/HomeServer /r/Homelab /r/BuildaPC for that.
Very odd: on my computer it never uses more than 1GB of RAM. As for the limitations of your first setup, that sounds like a bottleneck when it comes to transcoding, which can occur because of a lack of GPU or CPU power, depending on whether or not you had hardware acceleration enabled. I would expect it to run much better on your new setup, but the RAM thing is worth investigating. I was running Jellyfin on 12GB of RAM until recently, and never hit 100% usage.
Something is wrong if Jellyfin is using more than 2gb max.
How is your RAM being used? Look at CPU-X in the “System” tab. If the memory is mostly used for buffers and cache then it’s not a problem, you want it to be used like that.
I ran my NAS for years off an i5 (Kaby Lake) with 4 GB of RAM and 32 GB of NVMe storage and it handled any of the usual media servers just fine. I’ve used them all, Plex, Emby and now Jellyfin.
Have a look at this table, get the cheapest used Intel CPU you can find that fits your transcoding requirements, slap it on a board with enough SATA connectors and 4 GB of RAM and you should be good to go.
Docker should not have a large impact, I have 15 containers running right now and they only use 2.5 GB of RAM in total (for reals, without buffers/cache).