<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>SGLang on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/sglang/</link><description>Recent content in SGLang on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 16 Jul 2026 11:39:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/sglang/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型推理引擎横评：vLLM、SGLang、TensorRT-LLM</title><link>https://guijiagi.com/posts/b1-f50aea03/</link><pubDate>Thu, 16 Jul 2026 11:39:00 +0800</pubDate><guid>https://guijiagi.com/posts/b1-f50aea03/</guid><description>对比分析三大主流推理引擎的架构设计、性能特征与适用场景，给出选型建议</description></item><item><title>大模型推理部署方案对比：vLLM、SGLang与TensorRT-LLM</title><link>https://guijiagi.com/posts/b2-e0dd1517/</link><pubDate>Thu, 16 Jul 2026 10:38:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-e0dd1517/</guid><description>深度对比2026年三大主流大模型推理引擎的架构设计、性能表现与适用场景</description></item><item><title>大模型推理加速 2026：vLLM、SGLang、TensorRT-LLM 深度对比</title><link>https://guijiagi.com/posts/inference-framework-comparison-2026/</link><pubDate>Tue, 30 Jun 2026 17:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/inference-framework-comparison-2026/</guid><description>2026年主流大模型推理框架深度对比：vLLM、SGLang、TensorRT-LLM、TGI的性能、功能与选型指南</description></item><item><title>大模型推理加速2026：vLLM vs SGLang vs TensorRT-LLM</title><link>https://guijiagi.com/posts/llm-inference-speedup-2026/</link><pubDate>Tue, 30 Jun 2026 11:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-inference-speedup-2026/</guid><description>全面对比2026年三大推理引擎vLLM、SGLang和TensorRT-LLM的性能与特性</description></item><item><title>SGLang 2026：结构化生成的高性能推理引擎</title><link>https://guijiagi.com/posts/sglang-2026-inference-engine/</link><pubDate>Sun, 28 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/sglang-2026-inference-engine/</guid><description>深入探索 SGLang 2026 版本的 RadixAttention、结构化输出、推理优化与生产部署实践</description></item><item><title>大模型推理加速 2026：vLLM vs SGLang vs TensorRT-LLM</title><link>https://guijiagi.com/posts/llm-inference-acceleration-2026-vllm-sglang-tensorrt/</link><pubDate>Sun, 28 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-inference-acceleration-2026-vllm-sglang-tensorrt/</guid><description>三大推理引擎全面对比：vLLM、SGLang、TensorRT-LLM在2026年的性能与功能评测</description></item><item><title>SGLang推理框架解析</title><link>https://guijiagi.com/posts/sglang-inference-framework/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/sglang-inference-framework/</guid><description>SGLang推理框架解析</description></item><item><title>vLLM vs SGLang性能基准</title><link>https://guijiagi.com/posts/vllm-vs-sglang-benchmark/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/vllm-vs-sglang-benchmark/</guid><description>vLLM vs SGLang性能基准</description></item><item><title>SGLang 探理引擎：结构化生成的高性能方案</title><link>https://guijiagi.com/posts/sglang-inference/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/sglang-inference/</guid><description>深入解析 SGLang 推理引擎的核心技术原理、性能优势与生产部署实践，涵盖 RadixAttention、结构化生成、并发处理等关键特性。</description></item><item><title>SGLang vs vLLM：新一代推理引擎之争</title><link>https://guijiagi.com/posts/sglang-vs-vllm/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/sglang-vs-vllm/</guid><description>从 RadixAttention 到缓存共享，深度对比 SGLang 与 vLLM 的架构差异、性能表现与适用场景。</description></item><item><title>SGLang 掐理引擎指南：超越 vLLM 的新选择</title><link>https://guijiagi.com/posts/sglang-inference-engine/</link><pubDate>Wed, 24 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/sglang-inference-engine/</guid><description>SGLang 原理详解、与 vLLM/TensorRT-LLM 性能对比、安装使用、适用场景分析</description></item></channel></rss>