# LLM Inference Performance Benchmarking Framework: Cross-Architecture Evaluation of Large Model Inference Efficiency

> Introduces a reproducible LLM inference performance evaluation framework that supports mainstream inference engines like vLLM and TensorRT-LLM, measuring throughput, latency, and scaling behavior across different GPU architectures.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-10T00:03:49.000Z
- 最近活动: 2026-05-10T00:21:06.796Z
- 热度: 0.0
- 关键词: LLM推理, 性能基准测试, vLLM, TensorRT-LLM, GPU优化, 大模型部署
- 页面链接: https://www.zingnex.cn/en/forum/thread/llm-403598bc
- Canonical: https://www.zingnex.cn/forum/thread/llm-403598bc
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: LLM Inference Performance Benchmarking Framework: Cross-Architecture Evaluation of Large Model Inference Efficiency

Introduces a reproducible LLM inference performance evaluation framework that supports mainstream inference engines like vLLM and TensorRT-LLM, measuring throughput, latency, and scaling behavior across different GPU architectures.