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| | AI基础设施撞上“墙” | | | 华尔街日报 ｜ 2026-09-26 | | | |
| 声明： 本消息或因风格和篇幅原因进行过编辑，但未经核实，也不代表我们的立场、观点或建议。如有侵权，联系秒删。[ 使用条款 ] |
scroll 0 1 AI算力竞赛正演化为涵盖互连与内存的系统级博弈。Marvell高管表示，推理模型驱动KV缓存九个月增长约10倍，单机架内存已无法满足需求，铜连接逼近极限，光学互连与内存扩展成为算力扩张核心。定制化已成行业趋势，Marvell凭借模拟SerDes、光子织物内存及全链路定制迎来红利。
AI算力竞赛正从单纯的芯片之争，演变为一场涵盖互连、内存与网络的系统级博弈。
Marvell高管近日在Six Five Summit 2026上指出，随着推理模型驱动内存需求急剧膨胀、数据中心规模突破物理极限，铜连接已逼近性能天花板，光学互连与内存扩展技术正成为下一阶段算力扩张的核心变量。Marvell定制云解决方案业务执行副总裁Will Chu表示，市场长期聚焦于XPU本身，却忽视了围绕XPU的"附着层"——包括网络、内存、存储与安全。"每一颗XPU背后，存在三到四个甚至更多的配套定制机会，"他说，"AI基础设施正在全面走向定制化。"
数据中心网络业务集团执行副总裁Dave Lazovsky则指出，推理时计算（inference time compute）的兴起使KV缓存需求在过去九个月内膨胀约10倍，内存容量已无法在单一机架内满足，规模化部署必须突破至更大的互连域。
上述判断对市场具有直接投资含义：内存厂商、光学互连供应商及定制硅片设计公司将持续受益于这一结构性需求。分析机构预测，2025年至2030年全球数据中心基础设施累计资本支出将达4至5万亿美元。
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