After 14 years with Plex, I finally moved my video library to Jellyfin. Why rising costs, feature restrictions and digital ownership pushed me towards FOSS.
I’ve been considering audiomuse, but I have old equipment available.
My options are my media server, which is an old Xeon E3-1275v3 with 32G of RAM, which also hosts Navidrome, my arr stack and the associated downloaders, or my Home Assistant and Jellyfin box, which is a Lenovo M700 Tiny which is an i5 6600T but has only 8G of ram.
Or, an 8G Pi5 with an SSD (using the pi SSD hat)
I’m not sure either of those 3 options would handle audiomuse AI all that well…
The Xeon server would be a good bet. Your other machine would be potentially bottleneck for memory (though it meets min spec if the server isn’t doing anything else). There’s a NOAVX docker 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 on a Ryzen 5500u mini-PC 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.
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Edit - the 6600T would work too. I found with lyrics disabled, each worker only used between 500MB and 2 GB of RAM. Long as the server isn’t under load while scanning I think that would work, and would be faster for having AVX2 support.
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 have 120k tracks. I like music.
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.
I’ve been considering audiomuse, but I have old equipment available.
My options are my media server, which is an old Xeon E3-1275v3 with 32G of RAM, which also hosts Navidrome, my arr stack and the associated downloaders, or my Home Assistant and Jellyfin box, which is a Lenovo M700 Tiny which is an i5 6600T but has only 8G of ram.
Or, an 8G Pi5 with an SSD (using the pi SSD hat)
I’m not sure either of those 3 options would handle audiomuse AI all that well…
The Xeon server would be a good bet. Your other machine would be potentially bottleneck for memory (though it meets min spec if the server isn’t doing anything else). There’s a NOAVX docker 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 on a Ryzen 5500u mini-PC 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.
——
Edit - the 6600T would work too. I found with lyrics disabled, each worker only used between 500MB and 2 GB of RAM. Long as the server isn’t under load while scanning I think that would work, and would be faster for having AVX2 support.
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 have 120k tracks. I like music.
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.