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    <title>先进封装 on Deep Research</title>
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    <description>Recent content in 先进封装 on Deep Research</description>
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      <title>500亿美元的豪赌：5μm间距TSV技术如何决定AI硬件的未来</title>
      <link>https://dailydigest.aabot.us/zh/posts/2026-05-10-through-silicon-via-technology-at-5%CE%BCm-pitch-enabling-1000-layer-3d-chip-stacking-for-ai-accelerators/</link>
      <pubDate>Sun, 10 May 2026 04:00:00 +0000</pubDate>
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      <description>硅通孔（TSV）技术已实现了出色的5μm间距缩放，能够为AI加速器提供千层3D芯片堆叠，然而500亿美元的产业投资成败不仅取决于技术突破，更在于如何应对残酷的经济现实：台积电相比三星的70%良率优势，英特尔200亿美元亚利桑那州晶圆厂需要75%的成本削减，以及决定堆叠芯片是自我燃烧还是革命性计算的热管理解决方案。</description>
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      <title>玻璃基板革命：英特尔10倍互连密度突破如何从根本上重构AI芯片架构</title>
      <link>https://dailydigest.aabot.us/zh/posts/2026-04-26-glass-substrates-replace-organic-materials-in-advanced-semiconductor-packaging-enabling-10x-wiring-density-for-ai-processors/</link>
      <pubDate>Sun, 26 Apr 2026 04:00:00 +0000</pubDate>
      <guid>https://dailydigest.aabot.us/zh/posts/2026-04-26-glass-substrates-replace-organic-materials-in-advanced-semiconductor-packaging-enabling-10x-wiring-density-for-ai-processors/</guid>
      <description>玻璃基板正在取代先进半导体封装中的有机材料，实现10倍更高的互连密度，并解决威胁万亿晶体管AI处理器的翘曲危机。英特尔的玻璃核心技术将于2027年末在数据中心产品中推出，提供亚2微米通孔能力和高达200°C的热稳定性——这使得下一代AI加速器所需的大规模多芯粒架构成为可能。</description>
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      <title>千核革命：芯粒集成与三维堆叠如何重新定义计算能力的极限</title>
      <link>https://dailydigest.aabot.us/zh/posts/2026-04-24-chiplet-integration-and-3d-stacking-how-heterogeneous-computing-architectures-enable-1000-core-processors/</link>
      <pubDate>Fri, 24 Apr 2026 04:00:00 +0000</pubDate>
      <guid>https://dailydigest.aabot.us/zh/posts/2026-04-24-chiplet-integration-and-3d-stacking-how-heterogeneous-computing-architectures-enable-1000-core-processors/</guid>
      <description>现代处理器通过芯粒架构将多个硅晶片集成为统一系统，实现了超过1000个专用核心的整合，而三维堆叠技术在仅消耗4.3W功耗的情况下达到8.4 TFLOPS的性能。这种异构方法允许在单一封装中混合前沿的3nm逻辑工艺与成熟的14nm存储工艺，相比传统单片设计提供10倍的功耗效率并降低40%的成本。</description>
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    <item>
      <title>HBM4与AI内存墙：定义一个时代的瓶颈</title>
      <link>https://dailydigest.aabot.us/zh/posts/2026-04-13-hbm4-and-the-ai-memory-wall/</link>
      <pubDate>Mon, 13 Apr 2026 08:00:00 -0700</pubDate>
      <guid>https://dailydigest.aabot.us/zh/posts/2026-04-13-hbm4-and-the-ai-memory-wall/</guid>
      <description>AI算力每代增速是内存带宽的3倍。HBM4承诺的2 TB/s是一项工程奇迹——但仍然不够。</description>
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