<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>企业部署 on AI内参</title>
    <link>https://www.neican.ai/tags/%E4%BC%81%E4%B8%9A%E9%83%A8%E7%BD%B2/</link>
    <description>Recent content in 企业部署 on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Fri, 15 Aug 2025 10:10:06 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/%E4%BC%81%E4%B8%9A%E9%83%A8%E7%BD%B2/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>智算魔咒：开源AI的成本错觉与东方破晓</title>
      <link>https://www.neican.ai/insights/article-20250815101006600-4/</link>
      <pubDate>Fri, 15 Aug 2025 10:10:06 +0800</pubDate>
      <guid>https://www.neican.ai/insights/article-20250815101006600-4/</guid>
      <description>新研究揭示开源AI模型在企业级部署中可能因高昂推理成本而得不偿失，打破了“免费即便宜”的传统认知。然而，以DeepSeek为代表的新兴力量正通过架构创新和效率优化，重新定义AI的成本效益曲线，预示着全球AI竞争重心正从烧钱扩规模转向精巧降成本，重塑产业格局。</description>
    </item>
    <item>
      <title>智算魔咒：开源AI的成本错觉与东方破晓</title>
      <link>https://www.neican.ai/insights/article-20250815094030812-4/</link>
      <pubDate>Fri, 15 Aug 2025 09:40:30 +0800</pubDate>
      <guid>https://www.neican.ai/insights/article-20250815094030812-4/</guid>
      <description>新研究揭示开源AI模型在企业级部署中可能因高昂推理成本而得不偿失，打破了“免费即便宜”的传统认知。然而，以DeepSeek为代表的新兴力量正通过架构创新和效率优化，重新定义AI的成本效益曲线，预示着全球AI竞争重心正从烧钱扩规模转向精巧降成本，重塑产业格局。</description>
    </item>
  </channel>
</rss>
