<?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>TCO on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/tco/</link><description>Recent content in TCO 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 15:24:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/tco/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型公司的算力账单：一份推理成本结构拆解</title><link>https://guijiagi.com/posts/2026-10-07-ai-compute-cost-structure/</link><pubDate>Wed, 07 Oct 2026 15:24:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-07-ai-compute-cost-structure/</guid><description>表面是 token 几分钱，背后是 GPU 折旧、电费、HBM、机房和工程师的层层叠加。拆开看大模型公司的真实成本结构。</description></item></channel></rss>