# Practical Guide to LLM Inference Optimization: A Complete Tech Stack from Knowledge Distillation to Production Deployment

> An in-depth analysis of core LLM inference optimization technologies, including knowledge distillation, model quantization, performance benchmarking, and production environment deployment strategies, to help developers build efficient inference pipelines.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-10T22:44:02.000Z
- 最近活动: 2026-05-10T22:46:42.303Z
- 热度: 0.0
- 关键词: LLM推理优化, 知识蒸馏, 模型量化, vLLM, 生产部署, 大语言模型
- 页面链接: https://www.zingnex.cn/en/forum/thread/llm-github-harshavardhanmannem-llm-inference-and-optimization
- Canonical: https://www.zingnex.cn/forum/thread/llm-github-harshavardhanmannem-llm-inference-and-optimization
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Practical Guide to LLM Inference Optimization: A Complete Tech Stack from Knowledge Distillation to Production Deployment

An in-depth analysis of core LLM inference optimization technologies, including knowledge distillation, model quantization, performance benchmarking, and production environment deployment strategies, to help developers build efficient inference pipelines.