Section 01
导读 / 主楼:LLM Inference Performance Benchmarking Framework: A Reproducible Evaluation Scheme Across GPU Architectures
Introduction / Main Floor: LLM Inference Performance Benchmarking Framework: A Reproducible Evaluation Scheme Across GPU Architectures
A reproducible LLM inference performance benchmarking framework that supports modern inference engines like vLLM and TensorRT-LLM, capable of measuring throughput, latency, and scaling behavior across different GPU architectures.