<?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>残值定价 on 脱水研报</title><link>https://reports.zhihai.me/tags/%E6%AE%8B%E5%80%BC%E5%AE%9A%E4%BB%B7/</link><description>Recent content in 残值定价 on 脱水研报</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 20 Sep 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://reports.zhihai.me/tags/%E6%AE%8B%E5%80%BC%E5%AE%9A%E4%BB%B7/index.xml" rel="self" type="application/rss+xml"/><item><title>🔥Silicon Data：GPU 融资成为 AI 基建核心痛点！传统折旧模型失效</title><link>https://reports.zhihai.me/posts/2026-09-20-gpu-financing-residual-pricing/</link><pubDate>Sun, 20 Sep 2026 00:00:00 +0800</pubDate><guid>https://reports.zhihai.me/posts/2026-09-20-gpu-financing-residual-pricing/</guid><description>Silicon Data 9 月 17 日发布行业分析，指出 AI 基建最大卡点已从单纯「拿卡」转向 GPU 融资难题——根源在资本市场沿用 3 年直线折旧假设，把 GPU 视为快速贬值资产，直接限制算力服务商融资能力、倒逼长约与高预付。</description></item></channel></rss>