Cluster Governance for the CFO

Cluster Governance for the CFO

Reclaim your VRAM. Shrink your cluster, not your performance.

Imagine a 512×H100 inference cluster running vLLM behind a serving stack. Spend looks normal until the Efficiency Auditor lands. Within a 7-day window, sys_exit_ioctl timing reveals 30% of the fleet is memory-bound on KV-cache pre-allocation, not compute. Roofline classification per shard confirms it. The auditor issues a quantization advisory (FP16 → INT4 GGUF on 11 PIDs) and a KV-cache eviction policy change. The signed savings PDF: 31% reclaimable VRAM, $471k/year recovered at the standard 20% efficiency benchmark — without buying another GPU or shrinking the model.