NVIDIA's AIPerf benchmarks LLM inference at scale with multiprocess load testing
NVIDIAAI · x · 2026-09-19
NVIDIA published a technical blog introducing AIPerf, a replacement for GenAI-Perf:
- Multiprocess architecture: prevents the benchmarking client from becoming a bottleneck under high concurrency, sidestepping Python's GIL.
- 15+ endpoint types: ships with public datasets like ShareGPT and trace replay formats from Mooncake, Baseten, and WEKA AgentX for realistic workload testing.
- Configurable arrival patterns: constant, Poisson, and gamma distributions with tunable burstiness to match production traffic.
- Metrics: TTFT, ITL, request latency, and output token throughput with percentile breakdowns, plus GPU telemetry via DCGM/pynvml.
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