Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks
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Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks
By Ravindra Sunkad, Omar Baldonado At the 2026 Open Compute Project (OCP) Global Summit, Meta shared the networking innovations that are directly supporting our latest AI models, including Muse Wonder and Muse Spark, and our gigawatt-scale Prometheus cluster.
在2026年开放计算项目(OCP)全球峰会上,Meta分享了直接支持其最新AI模型(包括Muse Wonder和Muse Spark)以及吉瓦级Prometheus集群的网络创新技术。
Highlights IcePack & IceCube: Meta’s first liquid-cooled network rack with 102.4T switch blades (128×800G, Broadcom Tomahawk 6C and NVIDIA Spectrum-6 variants), running FBOSS. Flattened Planar Fabric (FPF) for scale-out: Meta’s multi-plane scale-out fabric where each GPU connects to eight network planes. 3-tier → 2-tier Clos, NIC-level packet spraying, and a combined host+switch control plane. Built with NVIDIA and shared with our cloud partners.
亮点包括:IcePack和IceCube,这是Meta首款采用102.4T交换机刀片(128×800G,Broadcom Tomahawk 6C和NVIDIA Spectrum-6变体)并运行FBOSS的液冷网络机架。用于横向扩展的扁平化平面架构(FPF)是Meta的多平面横向扩展架构,其中每个GPU连接到八个网络平面。该架构实现了从三层到两层的Clos网络演进、网卡级数据包分发,以及主机与交换机联合控制平面,由Meta与NVIDIA共同构建并与云合作伙伴共享。
Scale-across: BAG, our petabit-scale super-spine joining buildings, campuses, and regions in our gigawatt-scale Prometheus cluster, plus SRv6 regional backbones on FBOSS + SAI. Ethernet for scale-up: Tahan, the Ethernet scale-up switch for MTIA 300 based on Broadcom Tomahawk5; a preview of 72 accelerators per rack on 102.4T silicon; and ESUN progressing from 1.0 → 1.1.
跨区域扩展方面:BAG是Meta的拍字节级超级骨干网,用于连接吉瓦级Prometheus集群中的建筑物、园区和区域,此外还有基于FBOSS + SAI的SRv6区域骨干网。用于纵向扩展的以太网方面:Tahan是基于Broadcom Tomahawk5的MTIA 300以太网纵向扩展交换机;预览了基于102.4T芯片的单机架72个加速器配置;以及从1.0升级到1.1的ESUN。
OSPA: a new OCP initiative co-led by Meta, Microsoft, and Alibaba to standardize the switch platform layer. v1.0 spec submitted to OCP. MetaRoCE: our RDMA transport for AI networks, now going open source. We shared insights into key networking-related initiatives through talks from many of the Meta network and hardware teams. Those talks and their slide decks are now available to everyone!
OSPA:由Meta、微软和阿里巴巴共同领导的一项新的OCP倡议,旨在标准化交换机平台层。v1.0规范已提交给OCP。MetaRoCE:Meta用于AI网络的RDMA传输协议,现已开源。我们通过Meta网络和硬件团队的多场演讲分享了关于关键网络相关倡议的见解。这些演讲及其幻灯片现已向所有人公开。
Keynote and Executive Sessions Concrete to Code: Engineering AI Infrastructure at Gigawatt Scale (video) AI has changed the shape of infrastructure. Santosh Janardhan, Head of Infrastructure at Meta, shares how Meta is designing, building, and operating at a scale that requires rethinking the network, the facility, and the systems that hold it all together. Speaker: Santosh Janardhan, Head of Infrastructure, Meta
主题演讲与高管会议:从具体到代码:吉瓦级AI基础设施工程(视频)。AI改变了基础设施的形态。Meta基础设施负责人Santosh Janardhan分享了Meta如何在需要重新思考网络、设施和支撑系统的规模下进行设计、构建和运营。演讲者:Santosh Janardhan,Meta基础设施负责人。
Betting on the Network: Meta’s Case for Full-Stack, Open AI Networking (video) AI progress now depends on the network as much as on compute. The path forward is a full-stack, open approach built in the open ecosystem rather than behind proprietary walls. Speaker: Omar Baldonado, Senior Director, Data Center & AI Networking, Meta
押注网络:Meta的全栈开放AI网络方案(视频)。AI的进步现在不仅取决于计算,同样也取决于网络。未来的道路是在开放生态系统中构建全栈、开放的方法,而不是在封闭的专有壁垒之后。演讲者:Omar Baldonado,Meta数据中心与AI网络高级总监。
Breaking the Walls: Open Scale-Across for the AI Era (video) Training compute is compounding faster than infrastructure can scale. This talk lays out why open scale-across networking is needed to connect AI capacity across data centers and regions. Speakers: Vipul Deokar, VP, Core Network Infrastructure, Meta; Rakesh Chopra, SVP, Silicon & Systems Architecture and Engineering Fellow, Cisco; Tom Williams, VP, Marketing, Cisco
打破壁垒:AI时代的开放式跨区域扩展(视频)。训练计算能力的增长速度快于基础设施的扩展速度。本次演讲阐述了为何需要开放的跨区域扩展网络来连接跨数据中心和区域的AI算力。演讲者:Vipul Deokar,Meta核心网络基础设施副总裁;Rakesh Chopra,思科硅与系统架构高级副总裁兼工程院士;Tom Williams,思科营销副总裁。
Switch Platforms, Optics, and Interconnect Meta 102.4T Ethernet Switch (video) IceCube is Meta’s 102.4T switch that goes into our liquid-cooled Icepack rack. Icecube and N-IceCube are based on a 2OU, hybrid liquid/air-cooled, PHY-less design and incorporate either the Broadcom Tomahawk 6C or NVIDIA Spectrum-6 ASICs with 128x800GE of non-blocking capacity. Speakers: Rongchun Zhou, Network Hardware Engineer, Meta; Reza Niazmand, Network Technical Program Manager, Meta
交换机平台、光学与互连:Meta 102.4T以太网交换机(视频)。IceCube是Meta用于液冷Icepack机架的102.4T交换机。IceCube和N-IceCube基于2OU、混合液冷/风冷、无PHY设计,集成了Broadcom Tomahawk 6C或NVIDIA Spectrum-6 ASIC,具备128x800GE的无阻塞容量。演讲者:Rongchun Zhou,Meta网络硬件工程师;Reza Niazmand,Meta网络技术项目经理。
Integrated Optics at Scale: From 51.2T CPO Validation to Meta’s 102.4T (video) A look at why integrated optics matter for rack-scale AI — power, density, disaggregation, and reliability — and what Meta learned validating 51.2T co-packaged optics that could carry over to 102.4T. Speakers: Granthana Rangaswamy, Hardware Engineer, Meta; Siamak Amiralizadeh, Optical Engineer, Meta; Xu Wang, Hardware Engineer, Meta
规模化集成光学:从51.2T CPO验证到Meta的102.4T(视频)。探讨了集成光学对机架级AI的重要性(功耗、密度、解耦和可靠性),以及Meta在验证51.2T共封装光学器件时获得的经验,这些经验可应用于102.4T。演讲者:Granthana Rangaswamy,Meta硬件工程师;Siamak Amiralizadeh,Meta光学工程师;Xu Wang,Meta硬件工程师。
Operating Linear Pluggable Optics at Hyperscale (video) At AI scale, the per-module retimer DSP is a repeated tax in power, heat, and cost across millions of links — but removing it moves equalization and triage onto the host. This talk answers whether linear optics can match retimed reliability at fleet scale. Speakers: Amin Yekani, Optical Engineer, Meta; Qing Wang, Optical Engineer, Meta
超大规模运行线性可插拔光学器件(视频)。在AI规模下,每个模块的重定时器DSP在数百万条链路中造成了功耗、热量和成本的重复负担,但移除它会将均衡和分类任务转移到主机上。本次演讲回答了线性光学器件在机群规模下是否能达到与重定时光学器件相当的可靠性。演讲者:Amin Yekani,Meta光学工程师;Qing Wang,Meta光学工程师。
Large-Scale Deployment of 800G AECs in Meta Data Centers (video) The economics of AI networking are set at the short-reach link. This session covers Meta’s large-scale deployment of 800Gb/s active electrical cables and the component quality work behind it. Speakers: Jingyu (Kevin) Yu, Component Quality Engineer, Meta; Abhijit Chakravarty, Quality Head, Optics & Interconnects, Meta
Meta数据中心800G有源电缆(AEC)的大规模部署(视频)。AI网络的经济性取决于短距离链路。本次会议涵盖了Meta大规模部署800Gb/s有源电缆及其背后的组件质量工作。演讲者:Jingyu (Kevin) Yu,Meta组件质量工程师;Abhijit Chakravarty,Meta光学与互连质量负责人。
Beyond Pluggables: Building the NPO Ecosystem for Scaling AI A look at what it takes to build a near-package optics (NPO) ecosystem capable of supporting AI scaling beyond what pluggable modules can deliver. Speaker: Nan Ge, Technical Sourcing Manager, Meta
超越可插拔:构建用于AI扩展的NPO生态系统。探讨了构建近封装光学(NPO)生态系统所需的要求,该系统旨在支持超越可插拔模块能力的AI扩展。演讲者:Nan Ge,Meta技术采购经理。
FBOSS and Open Platforms Open Switch Platform Architecture (OSPA) — A Unified Network Switch Platform Reference Design (video) While SAI has made data plane software portable, the switch platform layer remains proprietary and fragmented, adding months of duplicated bring-up work per platform. This talk introduces OSPA, which proposes a unified, multi-vendor reference design for that layer, and the 1.0 specification that has been contributed to OCP. Speakers: Tao Ren, Tian Fang, and Xu Wang, Meta; Guohan Lu, Individual; Ying Xie, Microsoft; Yiyuan Huang and Zhiping Yao, Alibaba
FBOSS与开放平台:开放交换机平台架构(OSPA)——一种统一的网络交换机平台参考设计(视频)。虽然SAI实现了数据平面软件的可移植性,但交换机平台层仍然是专有且碎片化的,导致每个平台增加了数月的重复启动工作。本次演讲介绍了OSPA,它为该层提出了统一的多供应商参考设计,并介绍了已贡献给OCP的1.0规范。演讲者:Tao Ren, Tian Fang, Xu Wang(Meta);Guohan Lu(个人);Ying Xie(微软);Yiyuan Huang, Zhiping Yao(阿里巴巴)。
NVIDIA SDK + FBOSS: Building Production-Ready AI Network Fabrics (video) How NVIDIA’s Spectrum-X switch, SDK, SAI implementation, and simulator come together with FBOSS, Meta’s network operating system, to build production AI fabrics. The talk covers the CI/CD and test-driven workflow that made rapid joint integration possible. Speakers: Parvez Shaikh, Meta; Harish Krishnamoorthy, Alan Elder, and Tom Zhu, NVIDIA
NVIDIA SDK + FBOSS:构建生产就绪的AI网络架构(视频)。介绍了NVIDIA的Spectrum-X交换机、SDK、SAI实现和模拟器如何与Meta的网络操作系统FBOSS结合,构建生产级AI架构。演讲涵盖了使快速联合集成成为可能的CI/CD和测试驱动工作流。演讲者:Parvez Shaikh(Meta);Harish Krishnamoorthy, Alan Elder, Tom Zhu(NVIDIA)。
Open, AI-Ready FBOSS: From Platform Bring-up to Solution Qualification (video) A tour of the FBOSS software stack — routing, forwarding, platform services, and board support — and how a config-driven approach can more quickly and easily take a platform from board bring-up to qualified status for the OCP ecosystem. Speakers: Srikrishna Gopu, Software Engineer, Meta; Benoit Sigoure, Software Engineer, Nexthop
开放、AI就绪的FBOSS:从平台启动到解决方案认证(视频)。全面介绍了FBOSS软件栈(路由、转发、平台服务和板级支持),以及配置驱动的方法如何更快速、轻松地将平台从板级启动推进到OCP生态系统的认证状态。演讲者:Srikrishna Gopu(Meta软件工程师);Benoit Sigoure(Nexthop软件工程师)。