quality-performance

Benchmark runtime performance by auditing latency and throughput gaps across multiple profiles and hardware configurations. The audit captures cold-start, router, and profile-switch costs to identify stability issues affecting multi-model orchestration.

Profile latency metrics by collecting per-profile timings for both cold-start and warm states. The audit enforces measurement requirements and thresholds, capturing active backend counts and memory footprints to surface cold-start bottlenecks.

Yes, you can measure VRAM and RAM footprints across hardware configurations. The audit spans multiple profiles to collect memory footprints and active backend counts, enforcing threshold comparisons to verify infrastructure baselines.

Audit profile-switch costs and router latency by running a baseline performance audit on your deployment. The process enforces measurement requirements and reporting formats, collecting per-profile timings to surface throughput gaps and hot paths.

Docker environments are included in runtime performance benchmarking across hardware configurations. The audit captures dry-run metrics and enforces threshold comparisons to identify latency and throughput gaps within your specific Docker deployment setup.

Run a GPU performance audit for baseline capture when verifying infrastructure across hardware configurations. The audit enforces measurement requirements, collecting VRAM footprints and active backend counts to support trend analysis and hot-path planning.