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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.

LLMbenchmarkinferencevLLMTensorRT-LLMGPUperformance
Published 2026-05-10 07:56Recent activity 2026-05-10 07:57Estimated read 1 min
LLM Inference Performance Benchmarking Framework: A Reproducible Evaluation Scheme Across GPU Architectures
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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.