Benchmarking AI models with Nvidia Aiperf and analyzing benchmark results. Use when the user wants to run performance benchmarks on LLM inference endpoints, analyze Aiperf CSV/JSON benchmark output files, generate performance reports from benchmark data, compare model performance metrics like TTFT, ITL, throughput, or set up benchmark configurations for vLLM, TGI, or other inference servers. Triggers on keywords like aiperf, benchmark, TTFT, ITL, throughput, inference performance, model benchmark.