<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI基础设施 on 没用知识库</title><link>https://blog.alansun.host/tags/ai%E5%9F%BA%E7%A1%80%E8%AE%BE%E6%96%BD/</link><description>Recent content in AI基础设施 on 没用知识库</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><managingEditor>alansundy@gmail.com (羊羊羊)</managingEditor><webMaster>alansundy@gmail.com (羊羊羊)</webMaster><copyright>© 2026 羊羊羊</copyright><lastBuildDate>Sun, 28 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.alansun.host/tags/ai%E5%9F%BA%E7%A1%80%E8%AE%BE%E6%96%BD/index.xml" rel="self" type="application/rss+xml"/><item><title>追求二十倍回报的跨主题轮动框架：从 AI 算力、电力到太空与机器人</title><link>https://blog.alansun.host/posts/20260628_%E8%BF%BD%E6%B1%82%E4%BA%8C%E5%8D%81%E5%80%8D%E5%9B%9E%E6%8A%A5%E7%9A%84%E6%8A%95%E8%B5%84%E6%A1%86%E6%9E%B6/</link><pubDate>Sun, 28 Jun 2026 00:00:00 +0000</pubDate><author>alansundy@gmail.com (羊羊羊)</author><guid>https://blog.alansun.host/posts/20260628_%E8%BF%BD%E6%B1%82%E4%BA%8C%E5%8D%81%E5%80%8D%E5%9B%9E%E6%8A%A5%E7%9A%84%E6%8A%95%E8%B5%84%E6%A1%86%E6%9E%B6/</guid><description>构建 2026—2027 科技周期的跨主题轮动模型：沿着“算力与电力基建 → AI 应用兑现 → 机器人与太空物理部署 → 量子计算”的瓶颈迁移顺序，动态配置最强相对强弱赛道。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://blog.alansun.host/posts/20260628_%E8%BF%BD%E6%B1%82%E4%BA%8C%E5%8D%81%E5%80%8D%E5%9B%9E%E6%8A%A5%E7%9A%84%E6%8A%95%E8%B5%84%E6%A1%86%E6%9E%B6/featured.jpg"/></item><item><title>人工智能扩展取决于连接：COMPUTEX 2026 Marvell 主题演讲全录</title><link>https://blog.alansun.host/posts/20260602_%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E6%89%A9%E5%B1%95%E5%8F%96%E5%86%B3%E4%BA%8E%E8%BF%9E%E6%8E%A5/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><author>alansundy@gmail.com (羊羊羊)</author><guid>https://blog.alansun.host/posts/20260602_%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E6%89%A9%E5%B1%95%E5%8F%96%E5%86%B3%E4%BA%8E%E8%BF%9E%E6%8E%A5/</guid><description>Marvell CEO Matt Murphy 联手黄仁勋与日月光吴田玉，深度阐述 AI 算力瓶颈如何从计算、内存迁移至高速连接，以及 1.6T 相干光、100T 交换芯片与共封装光学（CPO）如何突破机架“铜墙”极限。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://blog.alansun.host/posts/20260602_%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E6%89%A9%E5%B1%95%E5%8F%96%E5%86%B3%E4%BA%8E%E8%BF%9E%E6%8E%A5/featured.jpg"/></item></channel></rss>