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"title": "突破记忆体限制?光互连HBM崛起 供应链谁将受益?",
"shortTitle": "突破记忆体限制?光互连HBM崛起 供应链谁将受益?",
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"description": "随着 AI 运算需求爆发,Optical HBM 逐渐成为市场关注焦点,透过光互连技术将传统 HBM 从 GPU 紧耦合架构,升级为可扩展记忆体资源池,有望重塑 AI 记忆体、矽光子、先进封装与半导体供应链格局,并带动 SK 海力士、三星、台",
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"content": "<p>随着 AI 运算架构持续升级,市场开始将「Optical HBM」视为可能改变记忆体与互连方式的重要技术方向。其核心概念,是将传统靠电讯号、紧贴 GPU 运作的 HBM,进一步演进为透过光互连实现的可扩展高频宽记忆体架构。这种变化不仅可能重塑 HBM 本身的定位,也有望进一步影响整个 AI 硬体供应链的分工与价值分配。</p>\n<p style=\"text-align:center;\"><img src=\"https://cimg.cnyes.cool/prod/news/6518709/l/6fb2590d5fe6667857459f05849504e1.jpg\" alt=\"突破记忆体限制?光互连HBM崛起 供应链谁将受益?\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\"></p>\n\n\n<p>南韩总统李在明于周一(29 日)主持「三大超级项目」发布会,宣告南韩将在西南部投入约 800 兆韩元,兴建四座晶片工厂,由三星电子与 SK 海力士各承建两座,目标是在五年内将 DRAM 生产能力翻倍。</p>\n\n<p>分析称,这是南韩史上规模最大的半导体产业部署,也是一场正式打响的全球 AI 算力基建升级战。</p>\n\n<p>此波扩产浪潮的核心驱动力,来自生成式 AI 与大型语言模型对 GPU 及 HBM 的指数级需求。</p>\n\n<p>随着 AI 工作负载持续攀升,对记忆体容量与频宽的要求日益严苛,现行 GPU 与 HBM 紧密封装的架构,正迅速逼近物理与技术的双重极限。</p>\n\n<p>TrendForce 数据显示,HBM 需求于 2025 年年增约 130%,2026 年预计仍将成长约 70%,市场扩张态势未止步。</p>\n\n<p>为突破现有瓶颈,半导体底层架构正酝酿颠覆性变革。根据《ZDNet》今年 5 月报导,南韩头部记忆体大厂研发人员透露,业界正探讨一种将 GPU 与 HBM 分置于独立封装、并以光纤链路连接的全新方案,有望使 GPU 可支援的 HBM 容量较现行设计高出数倍。</p>\n\n<p>事实上,三星早在 2023 年便已提出在 HBM 堆叠与处理器封装内部引入光互连技术,宣称可达飞秒级延迟,大幅提升频宽与功耗效率。</p>\n\n<p>今年 3 月,三星晶圆代工部门进一步公布路线图,计划自 2028 年起量产被称为「梦想半导体」的矽光子技术,并将其与 HBM、先进封装深度整合,全力追赶产业龙头台积电 (<a data-symbol-template=\"TWS:2330:STOCK:COMMON\" href=\"#\">2330-TW</a>) 。</p>\n\n<p>分析指出,传统 HBM 是透过矽中介层与先进封装紧贴 GPU 运作,优势在于极高频宽与极低延迟,但代价是扩展性受限,容量被封装空间绑死,同时也带来功耗与散热压力,而且 GPU 与 HBM 几乎是强绑定关系。</p>\n\n<p>所谓 Optical HBM,则是透过矽光子、共同封装光学(CPO)或光学 I/O,把部分原本的电连接改为光连接,让 HBM 不必再完全依附在 GPU 旁边,可以以更弹性、更大规模的方式被调用与配置,形成类似「记忆体资源池」的概念。</p>\n\n<p>TrendForce 也提到,产业正逐步探索将 HBM 与 GPU 解耦,以突破记忆体容量瓶颈,而光互连被视为可能的关键技术路径之一。</p>\n\n<p>这样转变的本质,是为了解决 AI 运算的真正瓶颈已不再只是算力,而是记忆体容量不足、频宽扩展困难、资料搬运成本过高以及整体功耗快速上升等系统性问题。</p>\n\n<h6>产业链受益全面盘点</h6>\n\n<p>此一架构转型对半导体供应链的影响层面广泛:</p>\n\n<p><em>最直接受益:HBM 领域龙头厂商</em></p>\n\n<p>最直接受惠的仍然是 HBM 供应链核心企业,包括 SK 海力士、三星电子与美光科技 (<a data-symbol-template=\"USS:MU:STOCK:COMMON\" href=\"#\">MU-US</a>) 。</p>\n\n<p>分析指出,若「Optical HBM」最终落地,本质上并不是替代 HBM,而是进一步放大其在 AI 系统中的角色与使用范围,使其从「GPU 配套零件」,升级为更接近「AI 记忆体基础设施」的战略资产。</p>\n\n<p>因此,HBM 的估值逻辑也可能由过去偏景气循环产业,逐步转向具结构性瓶颈价值的长期战略资源。</p>\n\n<p><em>矽光、CPO 与光 I/O 供应链:弹性最大的增量领域</em></p>\n\n<p>若 Optical HBM 成形,最直接扩张的会是「光互连」相关产业,包括矽光子、光引擎、光电转换模组与 CPO 等技术路线。</p>\n\n<p>相关受益企业涵盖博通 (<a data-symbol-template=\"USS:AVGO:STOCK:COMMON\" href=\"#\">AVGO-US</a>) 、迈威尔科技 (<a data-symbol-template=\"USS:MRVL:STOCK:COMMON\" href=\"#\">MRVL-US</a>) 、Coherent(<a data-symbol-template=\"USS:COHR:STOCK:COMMON\" href=\"#\">COHR-US</a>) 、Lumentum(<a data-symbol-template=\"USS:LITE:STOCK:COMMON\" href=\"#\">LITE-US</a>) 、POET Technologies (<a data-symbol-template=\"USS:POET:STOCK:COMMON\" href=\"#\">POET-US</a>) 等矽光与光通讯供应链公司。</p>\n\n<p>同时,日本与韩国的材料、光学元件与封装设备厂也可能同步受益。</p>\n\n<p>但需要注意的是,如果技术重心偏向「封装内光 I/O」,价值分布可能不会集中在传统光模组厂,而是转向能够进入先进封装体系的矽光与光引擎供应商。</p>\n\n<p><em>先进封装与混合键合:整体架构的关键底座</em></p>\n\n<p>Optical HBM 的实现高度依赖先进封装技术,因此整体受益核心仍在封装与整合能力上,包括 CoWoS、2.5D/3D 封装、Chiplet 架构、矽中介层与混合键合技术等。</p>\n\n<p>潜在受益厂商包含台积电、日月光 (<a data-symbol-template=\"TWS:3711:STOCK:COMMON\" href=\"#\">3711-TW</a>) 、Amkor Technology(<a data-symbol-template=\"USS:AMKR:STOCK:COMMON\" href=\"#\">AMKR-US</a>) 、ASMPT(<a data-symbol-template=\"HKS:00522:STOCK:COMMON\" href=\"#\">00522-HK</a>) 、Ibiden、Shinko Electric Industries。</p>\n\n<p>其中,「混合键合」被视为关键突破点之一,因为 HBM 堆叠与高密度互连正持续往更细间距、更高频宽与更低功耗方向演进。业界也普遍认为,2026 年前后将是观察该技术导入进展的重要时间窗口。</p>\n\n<p><em>玻璃基板与封装材料:系统升级下的隐性赢家</em></p>\n\n<p>若未来封装架构走向大面积光互连中介层、玻璃基板或面板级封装,材料供应链将迎来新的成长空间。</p>\n\n<p>相关关键材料与零组件供应商包括康宁 (<a data-symbol-template=\"USS:GLW:STOCK:COMMON\" href=\"#\">GLW-US</a>) 、LG Innotek 等,同时也延伸至 ABF 载板、低损耗材料、光波导材料与散热材料等领域。</p>\n\n<p>其核心逻辑在于:未来封装竞争不再只是「电讯号密度」的提升,而是升级为同时涵盖「电、光、热与结构稳定性」的系统级整合竞争。</p>\n\n<p><em>间接受益者:AI 伺服器与 GPU 生态系</em></p>\n\n<p>整体架构升级同样会带动 AI 运算端的需求扩张,包括辉达 (<a data-symbol-template=\"USS:NVDA:STOCK:COMMON\" href=\"#\">NVDA-US</a>) 、超微半导体 (<a data-symbol-template=\"USS:AMD:STOCK:COMMON\" href=\"#\">AMD-US</a>) 、博通、迈威尔科技与台积电等 AI 基础设施核心企业。</p>\n\n<p>若 Optical HBM 成熟,将有助于突破 GPU 端记忆体频宽与容量限制,使 AI 丛集能支援更大模型、更长上下文与更高推理吞吐。</p>\n\n<p>但需要区分的是:GPU 厂商属于「系统性能提升的受益者」,而真正承接新增价值的,仍集中在 HBM、矽光与先进封装等基础供应链环节。</p>\n\n<p>尽管「光互连 HBM」描绘出极具张力的技术愿景,但业界普遍认为,这条路仍属「远期战略期权」。</p>\n\n<p>短中期内,传统的 2.5D/3D 铜线封装与 CoWoS 技术依然是市场主力,光互连架构的全面商用落地,预计仍需跨越数年的技术与量产考验。</p>\n<div class=\"related-articles seo-links\">\n <h4>相关阅读</h4>\n <ul>\n <li><a href=\"/new/mg/article-12818.html\" title=\"特斯拉FSD驶入中国无望?传上海资料中心人去楼空\">特斯拉FSD驶入中国无望?传上海资料中心人去楼空</a></li>\n <li><a href=\"/new/mg/article-11393.html\" title=\"川普对无人机征收100%关税 料加深美中科技脱钩\">川普对无人机征收100%关税 料加深美中科技脱钩</a></li>\n <li><a href=\"/new/mg/article-4754.html\" title=\"Meta跨足云端服务 CoreWeave、Nebius重挫\">Meta跨足云端服务 CoreWeave、Nebius重挫</a></li>\n <li><a href=\"/new/mg/article-9399.html\" title=\"苹果再度杠上英国政府!拒绝开放用户加密云端资料\">苹果再度杠上英国政府!拒绝开放用户加密云端资料</a></li>\n <li><a href=\"/new/mg/article-332.html\" title=\"AI人才战升温 博通、Meta等企业联手砸1.25亿美元 UCLA成立半导体研究中心\">AI人才战升温 博通、Meta等企业联手砸1.25亿美元 UCLA成立半导体研究中心</a></li>\n <li><a href=\"/new/mg/article-8744.html\" title=\"〈联电法说〉AI营收三年拚逾10亿美元 抢先进封装、矽光子商机\">〈联电法说〉AI营收三年拚逾10亿美元 抢先进封装、矽光子商机</a></li>\n </ul>\n</div>",
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