<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>KV Cache on LoopRouter Blog</title><link>https://blog.looprouter.com/tags/kv-cache/</link><description>Recent content in KV Cache on LoopRouter Blog</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Fri, 11 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.looprouter.com/tags/kv-cache/index.xml" rel="self" type="application/rss+xml"/><item><title>DeepSeek V4.1-Flash 参数翻倍却更省:一文看懂 KV Cache 重构如何压低长上下文推理成本</title><link>https://blog.looprouter.com/docs/deepseek-v4-1-flash-kv-cache-cost/</link><pubDate>Fri, 11 Sep 2026 00:00:00 +0000</pubDate><guid>https://blog.looprouter.com/docs/deepseek-v4-1-flash-kv-cache-cost/</guid><description>&lt;blockquote&gt;&#10;&lt;p&gt;本文基于 InfoQ 中文(2026-09-10,作者褚杏娟)对 DeepSeek 技术报告的报道整理与二次分析,加入 LoopRouter 的模型选型与成本视角;数据均转述自该报道,笔者未独立复现原始报告。原文见文末链接。&lt;/p&gt;</description></item></channel></rss>