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Homelab census: 41 containers, one 6 GB GPU, and where my AI agents run

Today I asked my LLM box what it was doing, and it told me it had a 27-billion-parameter model loaded. Total footprint 18.3 GB. Amount of that on the graphics card: 0.5 GB.

  • 41 Docker and LXC containers running across four homelab boxes
  • One 6 GB VRAM GPU determines AI task routing
  • i7-10875H system with 6 GB GPU hosts AI agents

How I turned Docker incidents into game levels (with postmortems)

Every tutorial teaches you how to start a container. Almost none teach you what to do when one is down at 3am and people are waiting.

  • "DockerLinux" game teaches Linux and Docker troubleshooting in simulated server environment.
  • Game runs in browser, replaying solutions against fresh broken servers to verify fixes.

Premultiplied alpha didn't remove my cutout's white fringe

A background-removed PNG dropped onto a dark page often shows a thin grey-white rim. The usual advice is to composite with premultiplied alpha.

  • Premultiplied alpha didn't remove white fringe around cutout
  • White fringe appeared as luminance of 75.4 on test cutout
  • Fringe fixed by changing data to separate subject color from mix

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