Data centers consume 1–2% of global electricity, and a large share is simply wasted. Kubernetes, for example, spreads pods for availability, with a scheduler blind to the power and thermal state of the hardware underneath, so every node runs at partial load, exactly where servers are least efficient, and cooling pays a proportional tax on every wasted watt.
DCIMate inverts this behaviour. It models each node’s power profile, uses greedy bin-packing to concentrate workloads onto the fewest efficient nodes, then parks the rest cordoned and pinned to their minimum P-state via DVFS, still network-reachable and one uncordon away from rotation. This session runs the full loop live on a 4-node Raspberry Pi 5 cluster with real PMIC measurement, covering the consolidation algorithm, the DVFS policy, and the safety layers that make autonomous pod migration production-viable.
The energy savings are ~10% on this cluster but because lower aggregate load reduces cooling overhead proportionally through the PUE multiplier, total facility savings can reach 20–25%.