NVIDIA CPO 线上研讨会纪要

奥KA姆剃刀02-03

1. CPO 部署时间线提问：“我们何时会看到 CPO 的大规模部署？”回答：共封装光学（CPO）的部署将于今年启动。英伟达已宣布三家首批部署搭载 CPO 的 Quantum-X InfiniBand的合作伙伴：CoreWeaveLambda得克萨斯高级计算中心（TACC）随着Spectrum-X 系统开始出货，我们将看到更多 AI 与超算场景采用 CPO 部署。2. CPO 的可靠性问题提问：“...

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CPO 部署时间线提问：“我们何时会看到 CPO 的大规模部署？”回答：共封装光学（CPO）的部署将于今年启动。英伟达已宣布三家首批部署搭载 CPO 的 Quantum-X InfiniBand的合作伙伴：CoreWeaveLambda得克萨斯高级计算中心（TACC）随着Spectrum-X 系统开始出货，我们将看到更多 AI 与超算场景采用 CPO 部署。2. CPO 的可靠性问题提问：“CPO 的可靠性问题现在解决了吗？主要的可靠性问题是什么，又是如何解决的？”回答：在可插拔光模块中，可靠性问题往往源于人为接触：模块是外置的，安装前需要清洁。安装或更换单个模块可能会对其他模块造成物理干扰。暴露在灰尘中以及人为操作会降低模块的耐用性。而在共封装光学中：光引擎集成在交换机封装内部，与交换 ASIC 芯片一同封装。它采用液冷设计，完全密封，在数据中心内无需人为接触。英伟达与其合作伙伴建立了一套制造与测试流程，确保整个系统（而非单个组件）在部署前经过100% 测试与验证。结果：CPO 的可靠性与耐用性远高于可插拔光模块，CPO 的可靠性担忧已得到有效解决。3. 与台积电的合作及新需求提问：“关于 CPO 这一新技术，你们在与台积电的合作中提出了哪些新需求？”回答：合作与创新的核心要点：与台积电的封装 / 共封装工艺：需要一套可靠、可完整测试且适合大规模量产的封装流程。早期的 CPO 尝试无法实现完整验证与系统级可靠性。光引擎设计：此前的方案采用基于大型多芯片模块（MCM）的光引擎，无法很好地扩展到大端口数交换机。英伟达设计了一款更小的光引擎（基于微环调制技术），可支持大端口数与高密度 AI 网络架构。其他创新：交换机系统内部的光纤对准与光纤阵列设计。集成激光源，包括高功率激光器：▪️ 满足性能需求。▪️减少密集光基础设施所需的激光器数量。总体而言，在封装、光引擎、光纤耦合及激光器设计等环节均有创新，而台积电的工艺是关键支撑。4. 与可插拔光模块的灵活性对比（短距 vs 长距）提问：可插拔光模块让我们可以逐个端口构建网络，并根据成本与距离选择多模光纤（MMF）短距或单模光纤（SMF）长距模块。“共封装光学是否能具备同样的灵活性？能否为 CPO 交换机选择长距或短距配置？”回答：采用可插拔光模块时，你可以：按端口 / 应用选择多模与单模光纤、DR/FR 或更远传输距离等。采用 CPO 时，你需要提前为交换机选定特定的光学技术。因此灵活性转移到了选择合适的 CPO 型号，而非逐个端口更换模块。英伟达的Spectrum-X 光子学 CPO设计目标是：覆盖数据中心内的所有传输距离。同时支持园区内的楼宇间连接。因此，你无需为数据中心内部与园区距离配置多种收发器，一种 CPO 技术即可替代多种可插拔光模块。对于超远距离的数据中心间连接（跨地域扩展），仍需连接外置收发器。CPO 还能比可插拔光模块降低约 5 倍功耗，同时满足必要的传输距离需求。5. 超大规模厂商为何对 CPO 持谨慎态度？提问：“尽管 CPO 在带宽、密度和能效方面具备优势，哪些关键因素可能导致超大规模厂商对其持谨慎或缓慢采用的态度？”回答：首先，CPO 的优势：更低功耗→ 相同功率预算下可支持更多计算容量。更高耐用性与更少链路抖动→ 提升系统可用性与首次中断时间。面向 AI 场景的更高密度与性能。潜在的谨慎原因及英伟达的回应：担心频繁更换交换机在可插拔方案中，模块有时会故障并被单独更换。担忧：如果光引擎集成在交换机内部，是否需要更频繁地更换整台交换机？回应：可插拔模块的故障往往由人为操作和暴露环境导致。在 CPO 方案中，光引擎密封在系统内部，现场无需人为接触，且经过系统级测试，其耐用性堪比不带光模块的可插拔交换机，甚至更优。失去单端口灵活性在可插拔方案中，你可以混合使用多模 / 单模光纤、短距 / 长距模块。CPO 看起来是 “固定配置”。回应：英伟达的CPO 设计覆盖了数据中心内的全部距离及园区楼宇间连接。因此，一种 CPO 技术即可替代多种收发器选项，同时降低功耗并提升耐用性。基于这些应对措施，Gilad 预计超大规模厂商将积极采用 CPO。6. CPO 的按需付费与前期成本对比提问：“可插拔光模块的一大优势是按需付费模式 —— 你只需订购所需数量的模块，无需一次性支付全部费用。CPO 是否会从一开始就将初始采购价格推至最高水平？”回答：可插拔光模块的按需付费模式适用于传统数据中心，这类场景的特点是：许多交换机未被充分利用。初期可能只启用部分端口。AI 超算中心则有所不同：网络拓扑经过完全优化。每台交换机都被设计为满负荷运行（全端口数）。参考架构假设大型 GPU 集群会使用全部链路。在 AI 场景下：最终仍需采购所有收发器以实现网络架构的完全部署。通过 CPO 集成光引擎实际上降低了整体成本：相比单独采购交换机 + 全套收发器，资本支出（CAPEX）更低。通过大幅节省功耗，降低运营支出（OPEX）。同时提升耐用性与首次中断时间。因此，对于 AI 网络架构而言，CPO 在成本、功耗和可靠性方面均具备优势，尽管它不具备传统可插拔方案的 “按需付费” 特性。7. 未来创新与工艺改进（下一代产品）提问：“你认为下一代产品的创新与工艺改进将体现在哪些方面？”回答：目前行业遵循年度迭代节奏，覆盖：GPU、CPU、交换机、超级网卡（SuperNIC）及数据中心设计。当前一代 CPO 的核心目标：单通道 200G 速率（200G SerDes）。最大化功耗节省。高耐用性。为 AI 工厂（Spectrum-X 以太网与 Quantum-X InfiniBand）提供大端口数交换机。下一代创新方向：更大端口数的交换机→ 单台交换机支持更多端口。更高的光连接密度与数据吞吐量。更优的光纤与交换机连接方式。更密集的全液冷机架，使 GPU 与网络均可实现高效的功耗扩展。总体目标：持续提升交换机密度、机架密度及整个数据中心的性能密度，实现代际升级。8. 液冷与 DGX/BGX 机架的兼容性提问：“液冷…… 是否与 BGX/DGX 机架兼容？”回答：英伟达将数据中心视为一个集成系统进行设计：DGX（计算）单元是 “计算核心”。网络设备（Spectrum-X、Quantum-X）的设计与同一机架及散热模型相匹配。用于计算服务器的机架级液冷设计同样适用于交换机 / 网络基础设施，这使得：部署、安装与管理更简便、更统一。同时：Spectrum-X 以太网是一个灵活的平台。英伟达与大型制造合作伙伴合作，为不同云服务提供商（CSP）/ 客户定制适配其机架与散热设计的版本。支持多种操作系统，可适配多样化的数据中心环境。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"tenantId":"TBCN","deviceId":"web-server-community-laohu8-v3","version":"4.42.0","shortVersion":"4.42.0","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2608808442","isCrawlerRequest":true}