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万亿Marvell背后:中国光通信巨头的效率霸权

新知-AI新科技组 2026-06-10 09:51
新知-AI新科技组 2026/06/10 09:51

邦小白快读

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本文核心讲解了AI算力时代,中国光模块产业在全球的竞争地位和发展现状,核心干货如下:

1. 当前AI产业的竞争已经发生变化,从单卡GPU性能的竞争转向万卡级训练集群的组网互联竞争,数据传输速度成为核心瓶颈,高端高速光模块是提升集群算力利用率的核心部件,一个万卡集群需要十万量级的光模块。

2. 美国的出口管制主要针对高端GPU,并没有限制光模块封装环节,中国三家企业经过二十年通信产业积累,在光模块封装领域形成了全球领先优势,合计占据全球62%的800G及以上高端光模块市场份额。

3. 当前产业仍存在明显短板,高端DSP芯片高度依赖海外进口,存在潜在管制风险,国内企业正通过LPO技术路线绕开依赖,同时推进上游自研,逐步实现全产业链自主。

本文梳理了AI浪潮下光模块产业的需求变化和竞争格局,对光通信品牌商的发展有这些核心参考:

1. 产业需求趋势:AI大模型参数规模突破万亿后,带动万卡级训练集群普及,高端高速光模块需求从百万级跃升到千万级,市场规模迎来爆发式增长,是明确的增量赛道,发展空间广阔。

2. 产品研发方向:品牌需要提前前瞻布局前沿技术路线,新易盛提前布局LPO线性直驱光模块就获得了先发优势,同时要注意LPO仅能覆盖中短距场景,带DSP的高端光模块未来三到五年仍是市场主流,需要均衡布局。

3. 品牌竞争力构建:品牌的核心护城河不只是产品技术参数,更在于稳定的大批量交付能力,获得头部云厂商认可后就能形成稳定的采购惯性,很难被新玩家颠覆,长期工艺积累比单纯价格战更有价值。

光模块赛道在AI时代迎来历史性增长机会,同时也存在潜在风险,相关从业者可参考以下干货:

1. 增长机会:当前全球高端光模块供给一半以上掌握在中国企业手中,AI算力爆发带动市场需求急速扩张,只要具备稳定的工艺积累和交付能力,就能获得头部云厂商的核心供应商配额,享受行业增长的巨大红利。

2. 风险提示:当前高端数通DSP芯片国产化率不足5%,高度依赖Marvell等海外厂商供货,虽然当前管制尚未延伸到该领域,但未来存在政策变动风险,一旦管制落地整个产业将陷入被动,需要提前警惕。

3. 应对方向:从业者可提前布局LPO技术路线,绕开光模块内置DSP的进口依赖,同时跟进国内飞思灵等厂商的1.6T DSP量产进度,提前多元化布局供应链,对冲潜在的政策和供应链风险。

本文对光模块及相关制造工厂的发展给出了很多启示,核心干货整理如下:

1. 产品生产需求:光模块封装对生产精度要求极高,微米级的光芯片耦合精度要达到纳米级别,批量生产需要长期工艺迭代,才能控制偏差、温漂、振动对良率的影响,这些工艺积累是生产端的核心竞争力,无法从论文直接获得。

2. 商业机会:AI算力爆发带动高端光模块需求爆发式增长,中国厂商凭借二十年通信产业积累,已经占据全球过半高端光模块市场,拥有精密制造能力的工厂可以切入该赛道,获得巨大的增长空间。

3. 发展启示:不要轻视制造环节的价值,长期的工程迭代积累能够形成其他玩家难以追赶的壁垒,即使在高端科技产业,制造优势也能成为难以突破的战略高地,工厂需要重视研发和制造的深度协同,持续打磨工艺水平。

本文梳理了光模块行业的发展趋势和核心痛点,为光通信相关服务商提供了以下核心参考:

1. 行业发展趋势:AI算力的下半场已经从单卡性能竞争转向万卡集群组网竞争,高端高速光模块需求呈现爆发式增长,全球供给向中国头部厂商集中,产业链自主可控是行业未来长期发展的核心方向,国产替代空间巨大。

2. 核心客户痛点:当前国内光模块厂商的核心痛点是高端DSP芯片、高速光芯片、特种封装设备高度依赖进口,存在潜在供应链管制风险,同时LPO新技术路线落地也存在驱动适配、参数调优等多个环节的需求待满足。

3. 业务机会:服务商可以围绕国产替代方向,在上游设备、芯片设计测试等领域布局,填补国产空白;也可以围绕LPO等新技术路线落地,提供技术适配、测试验证等相关服务,抓住行业转型带来的业务增量。

光模块产业的格局变化,对云服务、算力平台等相关平台商的运营和供应链管理有这些参考:

1. 供应链需求变化:万卡级GPU集群中,光模块的交付节奏直接决定集群上线时间,一旦供货延迟会导致大量昂贵的GPU闲置,造成巨大的收入损失,因此平台对供应商交付确定性的要求,远高于产品价格。

2. 招商和供应商管理方向:中国三家头部光模块厂商合计占据全球62%的高端光模块份额,交付能力经过全球头部云厂商的验证,平台商可将这类厂商纳入核心供应商体系,锁定稳定供给,保障项目按时上线。

3. 风向规避:平台需要提前布局多元化技术路线,试点LPO光模块降低对进口DSP的依赖,同时跟进国产高端DSP的量产进度,提前布局供应链备份,规避未来海外管制延伸带来的供应链中断风险。

本文揭示了AI时代光通信产业的新动向、新问题,对产业研究者来说核心干货如下:

1. 产业新动向:AI大模型的发展推动全球算力产业竞争焦点发生转移,从单卡GPU性能竞争转向万卡集群的互联效率竞争,光模块成为AI基础设施的核心战略环节,中国三家厂商经过二十年积累,占据全球超60%的高端光模块市场,在封锁盲区形成了独特的竞争优势。

2. 产业新问题:当前全产业链自主仍存在明显短板,高端数通DSP芯片国产化率不足5%,高度依赖海外厂商,存在潜在管制风险,当前的LPO技术路线只能覆盖中短距场景,无法完全替代带DSP的产品,全产业链自主仍需要长期投入。

3. 研究启示:后发国家产业突破不一定需要正面突破技术封锁,在封锁盲区持续积累能力,也能形成别人难以追赶的战略优势,长期的制造工艺积累能够构建深厚的护城河,为产业升级提供了新的路径参考。

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Quick Summary

This article outlines China's global competitive position and current development status of the optical module industry amid the AI computing power era, with key takeaways as follows:

1. Competition in the AI industry has shifted from a race for individual GPU performance to interconnection networking for 10,000-card training clusters. Data transmission speed has become the core bottleneck, and high-end high-speed optical modules are the key component to improve cluster computing power utilization. A single 10,000-card cluster requires 100,000 optical modules.

2. U.S. export controls primarily target high-end GPUs and do not restrict optical module packaging. After two decades of accumulation in China's communications industry, three Chinese companies have built a global leading position in optical module packaging, collectively holding 62% of the global market share for 800G and higher-end optical modules.

3. The industry still has notable weaknesses: high-end DSP chips are heavily reliant on imports, exposing the sector to potential regulatory risks. Domestic companies are bypassing this dependency via the LPO technology path, while advancing independent R&D for upstream components to gradually achieve full industrial chain self-sufficiency.

This article sorts out shifting demand and the competitive landscape of the optical module industry amid the AI boom, with core takeaways for optical communication brands as follows:

1. Industry demand trend: After large AI models surpassed the trillion-parameter mark, 10,000-card training clusters have become widespread, pushing demand for high-end high-speed optical modules from the millions to tens of millions level. The market is seeing explosive growth, making it a clear high-growth track with broad development space.

2. Product R&D direction: Brands need to proactively forward-position cutting-edge technology roadmaps. For example, Eoptolink gained a first-mover advantage by early布局 of LPO (linear direct-drive) optical modules. At the same time, LPO can only cover medium- and short-distance scenarios, and DSP-equipped high-end optical modules will remain the market mainstream for the next three to five years, so brands need a balanced布局 of product lines.

3. Building brand competitiveness: A brand's core moat is not just technical product specifications, but more importantly stable mass production delivery capacity. Once approved by leading cloud providers, it creates stable purchasing inertia that is hard for new entrants to disrupt. Long-term process accumulation delivers more value than pure price competition.

The optical module track is seeing a historic growth opportunity in the AI era, but also carries potential risks, with key takeaways for industry practitioners as follows:

1. Growth opportunity: More than half of global high-end optical module supply is controlled by Chinese companies. The AI computing power boom has driven rapid demand expansion. Any player with solid process accumulation and stable delivery capacity can secure a core supplier quota from top cloud providers and enjoy enormous dividends from industry growth.

2. Risk warning: The localization rate of high-end digital signal processing (DSP) chips is currently less than 5%, heavily reliant on overseas suppliers such as Marvell. While export controls have not yet extended to this sector, there is future policy risk. If controls are implemented, the entire industry will be thrown into a passive position, so practitioners need to stay vigilant in advance.

3. Mitigation strategies: Practitioners can proactively布局 the LPO technology path to bypass reliance on imported DSP chips integrated in optical modules. They should also follow the mass production progress of 1.6T DSP from domestic players such as Phylite, and diversify supply chain布局 in advance to hedge against potential policy and supply chain risks.

This article offers key insights for optical module and related manufacturing facilities, with core takeaways as follows:

1. Production requirements: Optical module packaging has extremely high precision requirements: micron-level optical chip coupling accuracy must reach nanometer levels. Mass production requires long-term process iteration to control the impact of deviation, temperature drift and vibration on yield. This process accumulation is the core competitiveness for manufacturing, and cannot be obtained directly from academic papers.

2. Business opportunity: The AI computing power boom has driven explosive growth in demand for high-end optical modules. After two decades of accumulation in China's communications industry, Chinese players already hold over half of the global high-end optical module market. Factories with precision manufacturing capabilities can enter this track to capture enormous growth space.

3. Development insights: Do not underestimate the value of manufacturing. Long-term engineering iteration builds barriers that are hard for other players to surpass. Even in high-tech industries, manufacturing advantages can become an unassailable strategic stronghold. Factories need to prioritize deep alignment between R&D and manufacturing, and continuously refine process capabilities.

This article sorts out development trends and core pain points of the optical module industry, with core takeaways for optical communication-related service providers as follows:

1. Industry development trend: The second half of AI computing power competition has shifted from individual GPU performance to 10,000-card cluster networking. Demand for high-end high-speed optical modules is growing explosively, and global supply is increasingly concentrated among leading Chinese manufacturers. Industrial chain self-reliance is the core long-term development direction for the industry, creating huge space for domestic substitution.

2. Core customer pain points: Domestic optical module manufacturers currently face heavy reliance on imports for high-end DSP chips, high-speed optical chips and specialized packaging equipment, exposing them to potential supply chain control risks. Meanwhile, the commercialization of the new LPO technology path still leaves unmet needs across multiple links, including driver adaptation and parameter tuning.

3. Business opportunities: Service providers can布局 along the domestic substitution direction, filling gaps in upstream equipment, chip design testing and other fields. They can also support the commercialization of new technologies such as LPO by offering technical adaptation, testing verification and other related services, to capture incremental business brought by industry transformation.

Shifting dynamics in the optical module industry offer these key insights for cloud services, computing platforms and other related platform operators on operations and supply chain management:

1. Changing supply chain requirements: In a 10,000-card GPU cluster, the delivery timeline of optical modules directly determines when the cluster can go live. Delivery delays will leave large amounts of expensive GPU hardware idle, causing substantial revenue losses. As a result, platforms prioritize delivery certainty far more than product price.

2. Sourcing and supplier management direction: Three leading Chinese optical module manufacturers collectively hold 62% of the global high-end optical module market, and their delivery capabilities have been validated by the world's top cloud providers. Platforms can include these manufacturers in their core supplier systems to lock in stable supply and guarantee on-time project launch.

3. Risk mitigation: Platforms should proactively diversify their technology roadmaps, pilot LPO optical modules to reduce reliance on imported DSP, and follow the mass production progress of domestic high-end DSP. They should build backup supply chains in advance to mitigate the risk of supply chain disruption if export controls are extended to this sector in the future.

This article outlines new trends and challenges in the optical communication industry in the AI era, with key insights for industry researchers as follows:

1. New industry trends: The development of large AI models has shifted the focus of global competition in the computing power industry, from individual GPU performance to interconnection efficiency of 10,000-card clusters. Optical modules have become a core strategic link in AI infrastructure. After two decades of development, three Chinese manufacturers hold over 60% of the global high-end optical module market, building unique competitive advantage in an area untouched by U.S. export controls.

2. New industry challenges: Full industrial chain self-reliance still has clear gaps: the localization rate of high-end digital DSP chips is less than 5%, leaving the sector heavily reliant on overseas suppliers and exposed to potential regulatory risk. The current LPO technology path can only cover medium- and short-distance scenarios, and cannot fully replace DSP-equipped products. Full industrial chain self-sufficiency still requires long-term investment.

3. Research insights: Latecomer economies do not necessarily need to break through technology blockades head-on. Continuous capability building in blind spots of existing blockades can also build hard-to-replicate strategic advantages. Long-term accumulation of manufacturing processes can build deep competitive moats, offering a new path for industrial upgrading.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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GPU可以封锁,却封不住连接算力的光。三家中国企业凭二十年积累,掌控全球逾半数高速光模块供给,成为AI军备竞赛里最意外的战略支点。

原创?科技新知AI新科技组

作者丨凤梨 编辑丨九黎

2026年6月,台北Computex展馆,黄仁勋与Marvell CEO同台,那句话只说了一遍,但全场都听清楚了:Marvell会成为下一家万亿美元市值企业。

英伟达同期宣布20亿美元战略入股,NVLink Fusion生态合作随之落地。消息落地的当天,Marvell股价单日暴涨32.5%,市值增加620亿美元,几乎相当于凭空又多出了一家巨头。

这个场景被财经媒体反复引用,解读角度无非两种:一是Marvell的芯片业务终于被算力浪潮抬上了新台阶,二是英伟达在垂直整合的路上再下一城。但这两种读法,都停在了事件的表面。

真正读懂这句话的人,目光早已越过Marvell本身,落在了它身后那场更大的战争:AI算力的下半场,已经从单卡性能的军备竞赛,全面转向万卡级集群的组网之战。谁掌握了集群互联的效率,谁就掌握了下一代AI基础设施的命脉。

而这场战争的关键棋子,意外地握在了三家中国公司手里。

01

卡脖子卡不到的地方,才是真正的战略高地

要理解这个局面,先要理解美国的封锁逻辑。

2022年以来,美国商务部工业与安全局持续收紧对华半导体出口管制,矛头直指H100、H200、A100等高端GPU。逻辑很清晰:卡住算力最密集的单点,AI大模型训练就无从推进。这套打法在短期内确实奏效,国内大型模型训练集群在引进高端GPU这条路上,遭遇了实质性阻碍。

但问题在于,这套打法的底层假设,是AI训练的关键约束在单卡算力,到了2024年前后,这个假设开始松动。

当模型参数规模突破万亿、训练集群扩展至数万卡,单卡的算力早已不是瓶颈。真正的制约,变成了集群里每一张卡之间的数据传输速度。一个由一万张GPU组成的训练集群,如果卡间通信延迟偏高、带宽不足,大量算力会消耗在等待数据上,实际利用率可能跌到30%以下。提升集群效率,比堆砌更多单卡更迫切,这已经是算力行业的基本共识。

这就是光模块的位置。

在超大规模数据中心里,每一张GPU与交换机之间的连接,每一条机架与机架之间的数据通路,都需要通过光模块完成电信号到光信号的转换与传输。一个万卡量级的集群,需要的光模块数量以十万计。800G、1.6T速率的高端光模块,是这套系统的基础单元,也是集群跑满算力的关键前提。

这里正是封锁的盲区所在,虽然高端光芯片核心原材料与精密封装设备仍处于出口管制范围内。但关键区别在于:光模块的封装组装环节,目前没有被纳入专项禁令。而这个环节,恰恰是整条产业链里技术门槛最高、交付难度最大,也是中国企业经过二十年深耕后形成全球领先优势的节点。

光模块的封装,听起来不算高精尖,但做好极难,一颗光芯片的尺寸在微米量级,耦合精度要求在纳米级别,封装过程中任何细微的偏差都会导致光路损耗剧增、良率崩塌。批量生产时,如何在高速产线上稳定维持耦合精度,如何把温漂、振动、老化对器件性能的影响控制在可接受范围,这些工艺难题的答案,不在论文里,在工厂里日复一日的迭代摸索中。

中国光通信产业的技术积累,起点是2000年代的基站建设与电信级光纤铺设。二十年间,从通信运营商的大规模采购,到海外数通市场的订单争夺,国内厂商的制造能力在激烈竞争压力下被反复锻造。当AI浪潮将数据中心光模块需求从百万级推向千万级,这套能力体系突然找到了历史级别的释放出口。

这就是战略高地的形成逻辑:不是正面突破封锁,而是在别人没有设防的地方,建起了别人追不上的壁垒。

02

全球超过一半的高端光模块,从三家中国公司发出

如果说GPU是算力集群的大脑,光模块就是它的神经系统,信号的传导、通路的通断,都在这里完成。

这套神经系统,有超过一半掌握在三家中国公司手里。

中际旭创,总部四川成都,全球数通光模块市场份额第一。谷歌、微软、亚马逊、Meta是其长期核心客户,800G光模块的量产时间线比主要竞争对手提前了近两个季度,率先实现1.6T光模块的批量交付。旭创不是靠价格战打下这个位置的,它的核心竞争力在于研发与制造的深度协同,从芯片封装到整模块测试的垂直整合能力让它在新产品导入周期上始终快人半步。

新易盛,同样落地四川,全球数通光模块市场份额第二,与旭创形成双寡头格局。它在LPO(线性直驱光模块)赛道上布局更早,已向Meta、亚马逊实现小规模商业供货,是当前LPO技术路线上量产进度最靠前的厂商之一。相比旭创的规模优势,新易盛的差异化在于技术路线的前瞻押注。

华工科技,母体是华中科技大学,总部湖北武汉,旗下华工正源整体光模块业务全球排名第六。它是三家里器件自主化程度最高的一个,在高速光芯片、光引擎等器件层面有独特积累,这让它在上游管制风险的对冲上有一定先发优势。

2026年5月LightCounting的榜单显示,这三家在800G及以上高端光模块的全球市占率合计约为62%。剩余份额主要由美国Coherent等海外厂商占据。在这个量级的市场里,超过一半的供给出自中国,是三年前难以想象的格局。

支撑这一市占率的,不仅是价格竞争力,更是一个在AI军备竞赛语境下格外稀缺的能力:交付确定性。

在超大规模数据中心的建设逻辑里,光模块的供货节奏直接制约整个集群的上线时间表。一家云厂商如果宣布下一季度部署十万卡GPU集群,配套光模块必须在GPU到位前完成安装测试。任何供货延迟,都意味着昂贵GPU资产的闲置,都意味着大模型训练或推理服务的上线推迟,这个代价,云厂商算得非常清楚。

在这个需求背景下,光模块厂商最重要的能力,不只是能做出满足规格的产品,而是能在特定时间窗口内,以稳定良率大批量交付经过严格测试的成品。中际旭创在2023年800G爬坡周期中完成的那次大规模交付,新易盛在1.6T送样阶段的快速响应,业内早有口碑。

云厂商采购决策背后,有一套极其理性的供应商筛选逻辑:谁能在关键节点交货,谁才能进入核心供应商名单,继而锁定框架协议、扩大配额。这套采购惯性一旦建立,不是靠一两家新入局者轻易打破的。

这是中国光通信企业真正的护城河:不在某一代产品的技术指标,而在于在全球最挑剔的客户面前,一次次兑现了最难兑现的承诺。

03

封装制造赢了,但光模块的心脏还在别人手里

清醒 的人都知道,这场胜利还不完整。

800G和1.6T光模块的核心是高速DSP芯片,负责信号均衡、纠错、调制等关键功能,这颗被称为光模块“心脏”的器件,目前高度依赖Marvell和博通的供货。Marvell的Nova、Ara系列DSP产品与博通的配套方案,是当前主流高端数通光模块的标准配置。国内厂商买入这些芯片,完成封装,交付给全球云厂商,这是当前产业链的真实结构。

国产高端DSP的现状,需要分层来看,在中低端DSP市场,国产化率已达约40%;飞思灵在400G/800G相干DSP领域已实现规模商用,1.6T DSP预计2026年三季度量产;中兴微电子等第二梯队厂商也在持续推进。但本文讨论的核心场景数通高端800G/1.6T DSP,国产化率仍不足5%,这个细分市场才是真正的短板所在。华为海思也有相关研发积累,但DSP芯片主要服务于华为自用的光通信设备,无法大规模对外供货。

这个短板的风险,在当前阶段还没有显性化,Marvell目前向中国光模块厂商的供货未受实质管制约束。但这不等于风险不存在,它只是被暂时搁置了。一旦管制范围从GPU芯片向光通信DSP延伸,国内光模块厂商将在最关键的环节陷入被动。

面对这个隐患,国内厂商最受外界关注的应对路线是LPO:线性直驱光模块。

LPO的核心思路是把光模块内置的DSP去掉,将信号处理功能转移到服务器端的ASIC芯片承担。从架构上看,这绕开了对光模块内置DSP的采购依赖,也降低了光模块的功耗和成本。新易盛的LPO产品已向Meta和亚马逊实现小规模商业供货,部分云厂商正在试点部署,这是一个真实的进展信号。

但LPO并不是全产业链突围的答案,这一点需要诚实面对,LPO的主流商用传输距离适用于500米以内,极限商用场景可达2公里;超过2公里的长距互联场景,信号衰减问题将超出系统可接受范围,仍然必须搭载DSP。跨机房、跨园区的中长距互联,LPO无法替代。LPO的基础标准目前已基本落地,封装层面具备通用性;当前的兼容性差异主要体现在驱动适配和细节参数层面,并非根本性的标准割裂。但这些约束共同意味着:未来三至五年内,传统带DSP光模块仍是市场主流。

真正的产业链自主,还需要在上游走完更难走的那段路:高端光芯片的国产化、DSP芯片的规模量产、特种封装设备的自主研发,这不是三年能完成的事,但方向是确定的,进展是真实的。

回望过去二十年,中国在光通信封装、无源器件、基站制造领域的积累,在大多数人眼里是低附加值的制造业,代工、配套、集成这些标签背后,是无数工程师在公差控制、热管理、老化测试上耗费的时间,是在一份份苛刻的海外客户验收报告里被磨砺出来的工程纪律。

当AI将全球算力需求推向前所未有的高度,这套被长期低估的能力体系,在最意想不到的地方找到了历史级别的出口。

黄仁勋看多Marvell,是因为他看到了算力互联的下一个价值洼地。而真正读懂这场战争的人,或许早已把目光投向了Marvell的下游, 那三家在四川、湖北,日夜不停点亮全球数据中心的中国企业。

注:文/新知-AI新科技组,文章来源:科技新知(公众号ID:kejixinzhi),本文为作者独立观点,不代表亿邦动力立场。

文章来源:科技新知

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