I’m using nvidia right now with a 3060. It doesnt use much power, I got it for pretty cheap on ebay, and it encodes/decodes everything except for av1 encoding which I dont have use for. Looking at the charts in the link below, if you need to encode av1 you’ld need a 4000 series.

https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new

I’ve found nvidia to work pretty well for jellyfin, I use docker with the nvidia container toolkit and it just worked with hardware encoding out of the gate. I also have some other docker containers running gen ai and the 3060 handles them well as long as the modle will fit in vram.

Dang I wish I knew about this a month ago, I just built a NAS myself. Thanks for the link!

Interesting read, thanks for posting. I hadn’t considered how predictive text works in a terminal emulator and its cool to see how that works as well as getting a better understanding of child processes and what commands would/wouldn’t start one

I threw this on my server to see how it runs, I’m not able to see any of my library( I think this is the connection to jellyfin) or any way that it connects to my sonarr/radarr services? I tripple checked that the api keys are correct but I’m still not seeing anything. I saw that someone else said that it does browser caching and I have a large library so maybe that is the issue. I look forward to seeing how this project progresses because I host all of these services and it will be nice to have one place to go for them.