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光网络成为AI机器一部分:NPO架构崛起改写算力互联格局

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当AI集群的规模持续膨胀,决定系统性能的已经不再只是处理器本身,而是处理器之间的连接方式。近日在深圳举行的NPO标准产业峰会上,近封装光学(Near-Packaged Optics, NPO)被多位行业权威定位为大型AI算力集群(SuperPoD)互联的近期首选方案。中国信通院技术与标准研究所副所长、国际光电委员会(IPEC)副主席赵文玉明确表示,NPO在能效、端口密度与现有可插拔生态兼容性之间取得了最佳平衡,而CPO(共封装光学)仍面临供应链相对封闭、运维难度偏高等现实约束。与此同时,华为在CIOE 2026上展示了业界首个7.2T高带宽NPO产品的动态传输演示,标志着这一架构正从标准讨论走向可部署的产品形态。

电互联的物理天花板

大语言模型、多模态应用和AI智能体的爆发,推动算力集群不断扩容,但简单堆砌加速器并不能带来算力的线性增长。集群中的每个处理器都需要与数千个其他处理器持续交换数据,一旦连接功耗过高、时延过大或带宽不足,处理器就会陷入"等待多过计算"的状态,系统效率大打折扣。

电互联的物理极限正在快速逼近。华为在峰会期间展示的数据直观呈现了这一趋势:电信号传输距离从50G/lane的约5米,降至100G/lane的3米、200G/lane的1米;当速率提升至400G/lane时,可用传输距离已不足0.6米。速率每上一个台阶,信号完整性和传输距离的恶化都迫使系统付出更高的功耗与复杂度代价。光,必须更靠近芯片——问题只是靠近到什么程度。

【关键数据】

- 电接口传输距离衰减: 50G/lane约5米 → 100G/lane约3米 → 200G/lane约1米(核心物理约束?)

- 400G/lane传输距离: 低于0.6米

- OIF NPO模块项目: 12.8 Tbit/s,基于200G/lane电接口

- 华为NPO演示产品: 业界首个7.2T高带宽NPO产品

- 峰会参与机构: CAICT、腾讯、阿里云、百度、华为、博通、SENKO、Amphenol、Yamaichi共9家

可插拔与CPO之间的折中路线

可插拔光模块的成功并非偶然:标准化、可更换、依托全球成熟供应链,安装在交换机前面板上即可独立升级维护,无需触碰系统核心的交换芯片。但其与交换硅之间的物理距离意味着数据必须经过 PCB 上的漫长电传输路径,速率提升后往往需要重定时器等器件来保住信号完整性,功耗、时延和系统复杂度随之攀升。

CPO代表了最激进的集成路线——将光引擎与交换硅封装在同一 package 内,带宽密度和能效收益显著,但先进封装、热管理、良率以及现场更换难题也随之而来。在传统可插拔架构中,光器件故障可以独立更换;在深度集成的CPO系统里,光器件与交换硅的耦合关系让部署、维护和成本结构都变得复杂得多。

NPO的价值主张正是在这两者之间找到了落点:缩短电连接长度以降低信号损耗和对高功耗信号调理的依赖,同时保持光引擎的独立模块化,让光器件可以继续沿用业界熟悉的制造、测试、维护和更换模式。从行业视角看,这也解释了为何超大规模云厂商、系统厂商和运营商在当前建设周期中更倾向NPO——最具集成度的技术并不等于最具可部署性的技术。

标准生态决定NPO天花板

技术方向正在变得具体。OIF正在推进基于200G/lane电接口的12.8 Tbit/s NPO模块项目,华为作为创始参与方,在项目开发过程中协调了云厂商、系统厂商、光模块制造商和连接器供应商的各方需求。此次由IPEC与OIF联合主办的峰会汇聚了信通院、腾讯、阿里云、百度、华为、博通、SENKO、Amphenol和Yamaichi等产业链代表——NPO的落地依赖超大规模用户、芯片与交换机厂商、光模块、连接器、测试企业以及最终部署系统的运营商之间的协同,单一环节的突破无法构成完整生态。

标准在此并非工程完成后的行政性收尾,而是NPO价值主张的组成部分。如果每家供应商实现不同的电、光、机械和管理接口,碎片化将限制互操作性、复杂化认证流程,并让业界重新陷入标准化可插拔光模块曾经帮助摆脱的厂商锁定。标准将直接决定运营商能否从多家供应商采购可互通组件,也决定制造商能否基于统一需求进行投资。

华为的7.2T NPO产品采用集成激光源与高度集成的硅光方案,官方称在实现高带宽和高可用性的同时降低了功耗与时延。这一产品的技术细节和架构尚需独立验证,但其更直接的意义在于:NPO已经走出PPT,进入产品、演示和兼容性测试阶段。

从长期看,赵文玉判断NPO将与CPO及其他光架构长期共存,而非被取代。AI正在重新划定计算与连接的边界——纯电链路已无法承载更大、更快、更密集的集群需求,光必须更靠近处理器,但不能以牺牲制造、维护和扩展能力为代价。光网络已经成为AI机器的一部分,而决定性的问题在于:行业能否在开放的基础上构建这台机器,还是让连接处理器的接口成为又一个专有技术的战场。


出处:The optical network is becoming part of the AI machine

英文原文
Markdown Content: As AI clusters grow larger, the connections between processors increasingly determine the performance of the entire system. Near-packaged optics (NPO) offers a practical way to bring optical connectivity closer to the silicon without sacrificing maintainability or supply-chain flexibility. Building faster chips is no longer enough. Those chips must exchange enormous volumes of data quickly and efficiently enough to behave as a single computing system. The network is therefore moving closer to the processor, both physically and architecturally. This shift has intensified the search for an optical architecture capable of delivering the bandwidth and power efficiency AI requires without creating a new set of manufacturing and operational problems. Near-packaged optics, or NPO, is emerging as the most practical answer: a bridge between the limits of conventional pluggable optics and the tightly integrated —but considerably more challenging —world of co-packaged optics. The growth of large language models, multimodal applications and AI agents is driving the construction of ever-larger computing clusters. But adding more accelerators does not automatically produce a proportional increase in usable computing power. Every processor in a cluster must constantly exchange information with thousands of others. If those connections consume too much power, introduce too much latency or cannot deliver sufficient bandwidth, the processors spend more time waiting and less time computing. Traditional electrical connections become increasingly difficult to operate as transmission speeds rise. Signal integrity deteriorates. Reach collapses. The power and complexity required to compensate for the increase. Data presented by Huawei at the sideline event during the NPO Standards Industry Summit in Shenzhen, China, illustrates how severe that physical constraint is becoming. It showed the approximate reach of electrical cables falling from five meters at 50 Gbit/s per lane to three meters at 100G and one meter at 200G. At 400G per lane, the estimated reach falls below 0.6 meters. Pluggable optical modules have been extraordinarily successful for good reasons. They are standardized, replaceable and supported by an extensive global supply chain. Located on the front panel of a switch, they can be installed, upgraded or replaced without disturbing the switching silicon at the center of the system. But their physical separation from that silicon creates an increasingly difficult electrical journey. Data must travel from the ASIC across the printed circuit board to the optical module. As speeds rise, preserving the integrity of that signal can require components such as retimers, adding power consumption, latency and system complexity. Moving the optics closer to the processor shortens that electrical path. The question is how close the industry can move that path without losing the economic and operational advantages that made pluggable optics so successful. Co-packaged optics, or CPO, represents the most integrated approach. It places optical engines alongside the switching silicon within the same package. This can deliver major improvements in bandwidth density and power efficiency, but it also creates difficult problems involving advanced packaging, thermal management, manufacturing yield and field replacement. If an optical component fails in a conventional pluggable architecture, it can generally be replaced independently. In a tightly integrated CPO system, the relationship between the optics and the switching silicon becomes considerably more complicated. The benefits are real, but so are the consequences for deployment, maintenance and cost. That distinction is the heart of the NPO proposition. Shortening the electrical connection can reduce signal loss and the need for power-hungry signal conditioning. Keeping the optical engine separate preserves more of the modularity operators already understand, allowing optical components to be manufactured, tested, serviced and replaced independently of the main processor. Dr. Zhao Wenyu, vice chairman of the International Photonics and Electronics Committee (IPEC) and deputy director of the Technology and Standards Research Institute at the China Academy of Information and Communications Technology, [described](https://www.ipec-std.org/22706.html) NPO as the likely preferred near-term solution for interconnecting large AI computing clusters, or SuperPoDs. He argued that NPO combines energy efficiency with port density and compatibility with the existing pluggable ecosystem, while CPO still faces a relatively closed supply chain and more difficult operational and maintenance requirements. Over the longer term, he expects NPO to coexist with CPO and other optical architectures rather than being displaced by them. For operators building those systems now —not at some theoretical point in the future — the balance is critical. The most tightly integrated technology is not automatically the most deployable. A commercially viable system must combine performance with manufacturability, maintainability, supply-chain resilience and a credible route to scale. The NPO Standards Industry Summit, co-hosted by IPEC and the Optical Internetworking Forum (OIF) on Sept. 10, 2026, brought together representatives from CAICT, Tencent, Alibaba Cloud, Baidu, Huawei, Broadcom, SENKO, Amphenol and Yamaichi. Their presence matters. NPO depends upon coordination between hyperscalers, switch and silicon vendors, optical-module manufacturers, connector suppliers, test companies and the operators that will eventually deploy the systems. A breakthrough in one component does not create an ecosystem. The technical direction is also becoming more concrete. The OIF is developing a 12.8 Tbit/s NPO module project based on 200G-per-lane electrical interfaces. Huawei is a founding participant of that project and helped align the requirements of cloud companies, system vendors, optical-module manufacturers and connector suppliers during its development. Huawei is also working to move NPO beyond standards discussions and into deployable systems. At the China International Optoelectronic Conference (CIOE) 2026, [the company demonstrated](https://www.usatoday.com/press-release/story/42783/ipec-successfully-holds-npo-standards-industry-summit-aiming-to-build-a-robust-international-standards-ecosystem/) dynamic transmission using what it describes as the industry's first high-bandwidth 7.2T NPO product. The design uses an integrated laser source and highly integrated silicon photonics to combine high bandwidth and availability with lower power consumption and latency. Those claims — and the architecture behind the 7.2T product — deserve separate examinations. The immediate significance is that NPO is moving out of presentations and into products, demonstrations and compatibility testing. NPO cannot scale if every supplier implements different electrical, optical, mechanical and management interfaces. Fragmentation would limit interoperability, complicate qualification and recreate the vendor dependencies that standardized pluggable optics helped the industry overcome. Standards are therefore not an administrative detail to be addressed after the engineering is complete. They are part of the NPO value proposition. They will determine whether operators can source interoperable components from multiple suppliers and whether manufacturers can invest against a common set of requirements. AI is redrawing the boundary between computing and connectivity. Electrical links alone cannot carry the full burden as clusters become larger, faster and more power-dense. Optics must move closer to the processor — but they must get there without sacrificing the ability to manufacture, maintain and scale the infrastructure around it. We now know that optics is becoming part of the AI machine. The decisive question is whether the industry can build that machine on an open foundation — or whether the interfaces connecting its processors will become another proprietary battleground.
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