Comment on Why I moved my Plex library to Jellyfin after 14 years
tomkatt@lemmy.world 4 weeks agoThe Xeon server would be a good bet. Your other machine would be potentially bottleneck for memory. There’s a NOAVX deployment available, would be slower but should work fine. Just be sure to disable anything associated with lyric detection, it’s an absolute performance nightmare.
I ran it onaRyzen 5500u with 32 GB RAM with the standard deployment with AVX2 support and scaled up to three worker threads. For a collection of 53k tracks it was processing about 100 per hour that way with lyrics/whisper translation enabled, but once I turned that off it was doing 1300-1400 tracks per hour.
That’s cool to know, however the Xeon runs FreeBSD, so I would need to create a VM if it doesn’t work in Linuxulator, (FreeBSD’s Linux compatibility layer, works sorta like wine does)
I should do some research this weekend I reckon.
Great, now I have one more thing I gotta do this weekend. Thanks a lot. Lmao.
HiTekRedNek@lemmy.world 1 week ago
So.
I did a thing.
I have audiomuse-ai running its main, complete docker compose script, with all containers, on my 8GB Raspi5, and worker-only containers running on:
They’ve been running about a week, and I’m a little over a third of the way through
Once the initial analysis is complete, I’ll stop all worker containers and leave it all just running fully on the pi5.
I also created a worker-only addon for the 6600T machine, but as it is already running HAOS and Jellyfin, I was getting a lot of OOM-related failures when it was running.
But I also have 32G of used, eBay bought, ddr4 SODIMMs.coming for it.
Bonus: Most of my homelab is in this. The only things missing are my Sophos running OPNsense, and the raspi5. Oh, and my actual desktop machine.
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tomkatt@lemmy.world 1 week ago
Yo, that’s awesome!
Pro tip for you, ASR (whisper - lyric detection/transcription) can be kind of bad, but if you have some spare resources, it takes very little to host a local LRCLIB database and clone lrclib.net (they have a GitHub page). This massively speed up lyric analysis for me using the API against a local site instead of getting 429s against lrclib.net or relying on ASR.
HiTekRedNek@lemmy.world 5 days ago
I was bored. I’m not running it in a docker VM any more. I am now running it directly on FreeBSD using podman and FreeBSD’s Linux compatibility layer.
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