<?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>B300 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/b300/</link><description>Recent content in B300 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>Mon, 05 Oct 2026 09:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/b300/index.xml" rel="self" type="application/rss+xml"/><item><title>英伟达B300深度解析：推理时代的算力之王</title><link>https://guijiagi.com/posts/2026-10-05-ai-chip-nvidia-b300/</link><pubDate>Mon, 05 Oct 2026 09:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-05-ai-chip-nvidia-b300/</guid><description>推理性能：较H100提升约4倍 内存带宽：翻倍增长 能效比：显著提升 专为推理优化 显存容量升级 互联技术改进 推理成本大幅下降 Agent类应用爆发基础 云厂商采购转向</description></item></channel></rss>