<?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>FlashAttention on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/flashattention/</link><description>Recent content in FlashAttention on AI 实战派 · 从技术到赚钱</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>Wed, 07 Oct 2026 18:48:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/flashattention/index.xml" rel="self" type="application/rss+xml"/><item><title>FlashAttention 与 KV Cache：长上下文为什么这么吃显存</title><link>https://guijiagi.com/posts/2026-10-07-flashattention-kv-cache-deep-dive/</link><pubDate>Wed, 07 Oct 2026 18:48:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-07-flashattention-kv-cache-deep-dive/</guid><description>注意力是 O(N²) 的显存怪兽，KV Cache 又随并发与长度膨胀。拆解 FlashAttention 怎么省显存，以及长上下文的成本账。</description></item></channel></rss>