Kernel-grade FinOps.
For AI fleets.

A scoped memory-wall audit, typically 1–3 weeks. We hook sys_exit_ioctl and measure the nanosecond gap between every MEMCPY at the driver level — zero observer-effect latency. The output: a savings PDF showing exactly how much of your fleet is memory-bound, not compute-bound, what to quantize, and what to reclaim.

• ✓On-prem · read-only · no agent SDK installed
• ✓Roofline classification · per-PID, per-GPU, per-shard
• ✓Sharding-aware · auto-detects Tensor Parallelism (TP) degree
• ✓vLLM-aware · KV-cache vs weight-load distinction
• ✓Quantization advisor · FP16 → INT4 / GGUF guidance
• ✓Output · savings PDF · roofline + waste score + reclaim plan