I built a distributed compute grid where your idle laptop runs ML jobs — the orchestrator behind it

I built a distributed compute grid where your idle laptop runs ML jobs — the orchestrator behind it

The pitch: a single FastAPI hub takes compute jobs from ML researchers, and a fleet of home PCs and gaming rigs (RTX 4090s, M2 MacBooks, anything with a GPU and a Python interpreter) polls in, picks up work, and ships results back. A 20% platform fee funds the hub. An interactive dashboard shows the mesh in real time.

I have been living inside this codebase for a few weeks. This post is about the part that actually determines whether the thing works or does not — the orchestrator. No frontend, no marketing — just the brain.

Live dashboard: man44.zo.space/compute-pool

Repo: github.com/AmSach/ComputePool-Grid