Got done setting up AudioMuse-AI on my bare metal k8s cluster. For those who don’t know what AudioMuse-AI is, it is a sonic analysis tool with a web interface that can hook into your Navidrome library. This is something I have played around before and always was planning to create myself. But the community beat me to it, more time for other projects I guess. Analysis of my almost 200GB music library took about 12 hours. It was a nice workload for my cluster to show me what it got. It’s a workload that scales perfectly horizontally, it can consume any compute that you can throw at it. On my old NAS it would take days, if not a week.

Below is my current music map: a 2D projection of the track vector space color-coded by genre. TLDR, closer songs sound more simular.

Satellite Type 2
Commix