Fourteen Cases, Three Defects: Letting the Workloads Tune the Scheduler 26 August 2026 · 7 min We wrote the expected route for every kind of work the cluster does before sending a single request. The first run was 6 hits, 5 misses, 3 gaps. Every miss was a scheduler defect nobody had noticed for weeks — including … Scheduling GPU Workloads at Home: A Capacity Model That Scales 31 May 2026 · 8 min A rigorous capacity model for home GPU clusters — one that works on a single node today and extends naturally when new hardware arrives. Built around three state vectors, six diagnostic metrics, and the actual implementa…