Find the expensive part of the real path.
This report shows the shape of a first-pass review using an eight-request fixture. It is a screening artifact, not a savings promise. A paid diagnostic replaces the fixture with a representative workload and a quality metric.
Signals worth investigating
Average GPU utilization is 49.6%.
Next: Check batching, request-shape fragmentation, placement, and queue starvation before adding hardware.
p95 latency is 2,460 ms.
Next: Separate prefill and decode time, then inspect long-context requests and tool-call fan-out.
Success rate is 75.0%.
Next: Partition model, retrieval, tool, and infrastructure failures so the fix is measurable.
Average tool calls per request is 1.625 with a 75.0% success rate.
Next: Trace retries and tool-call branches before optimizing kernels.
Want this on your workload?
Start with a $1,500 diagnostic. If there is a clear lever, the fee credits toward the $7,500 five-business-day implementation sprint.
Method note: all figures above are generated from the local sample fixture. Validate every intervention against representative traffic, a quality metric, and an agreed decision rule.