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NVIDIA Spectrum-X Network Platform Architecture.pdf

上传人: 张** 编号:161309 2024-05-05 14页 1.18MB

1、Extending Generative AI to Mainstream Hyperscale CloudNVIDIA Spectrum-X Network Platform ArchitectureBarak Gafni,Network Architect,NVIDIAGilad Shainer,SVP Networking,NVIDIANVIDIA Spectrum-X Network Platform ArchitectureARTIFICIAL INTELLIGENCE(AI)AIXXXXXXXXXXXXXXXXDATA CENTERNorth-SouthEast-WestEast-

2、West for Distributed and Disaggregated ProcessingNorth-South for User-to-Cloud CommunicationsThe Network Defines the Data CenterLoosely Coupled ApplicationsDistributed Tightly-Coupled ProcessingTCP(Low BandwidthFlows and Utilization)RoCE(High Bandwidth Flows and Utilization)High Jitter ToleranceLow

3、Jitter Tolerance(Long Tail Kills Performance)Heterogeneous TrafficAverage Multi-PathingBursty Network CapacityPredictable PerformanceControl/User Access Network(North-South)Traditional EthernetAI Compute Fabric(East-West)Spectrum-XHow Does GPT Workload Look Like?200400How Does GPT Workload Look Like

4、?200400200400LLM NCCL AllReduce Traditional EthernetThe Network Defines the Data CenterNCCL(NVIDIA Collective Communication Library)is the SDK library for AI communications-connects the GPUs and the network for the AI network operationsWorst Job PlacementAverage Job PlacementBest Job PlacementJ1J1Sw

5、itch Switch Switch Switch J1J1J2J2J2J2J1J1Switch Switch Switch Switch J1J2J2J2J2J1J1J2Switch Switch Switch Switch J1J2J1J2J1J2AI-optimized networking for every data centerRoCE Adaptive Routing(local/remote information,a packet granularity)Congestion Control(telemetry probes)Noise Isolation(multi-job

6、s or a single large-scale job)High-frequency telemetry(1000 x)Spectrum-X Brings High-Performance AI to EthernetBlueField-3 SuperNIC16 Arm 64-Bit Cores16 Core/256 Threads Datapath AcceleratorConnectX NIC,DDR memory interface,PCIe switchSpectrum-X800BlueField-3 SuperNICSpectrum-X80

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NVIDIA推出的Spectrum-X平台是一种新型高性能以太网解决方案,专为扩展生成式AI到主流云计算环境而设计。该平台具有800G的传输速度,51.2T的带宽,以及支持AI计算的特性,如自适应路由、拥塞控制和噪声隔离。Spectrum-X能够提供一致的性能,与传统的以太网相比,在大型语言模型(LLM)训练中显示出1.4倍的提升(使用2K GPUs)。该平台基于BlueField-3超级网络接口卡,具有16个Arm 64位核心,16个核心和256线程的数据路径加速器,以及ConnectX NIC和DDR内存接口。Spectrum-X与SONiC操作系统集成,提供灵活的部署选项和适应性路由,以及可编程拥塞控制。NVIDIA展示了基于Spectrum-X的生成式AI云计算超级计算机,配备256个NVIDIA HGX H100服务器,2,048个H100 GPU和2,560个BlueField-3 DPU,以及80多个Spectrum-4以太网交换机,实现了8-Exaflops的AI峰值性能。此外,Spectrum-X支持通过NGC获取的SONiC容器,以及用于配置Spectrum-X的SONiC-UX,允许用户开始AI云概念验证,并使用NVIDIA AIR仿真环境。更多信息请访问NVIDIA的官方网站。
"NVIDIA Spectrum-X如何定义数据中心网络架构?" "GPT工作负载在Spectrum-X平台上看起来如何?" "Spectrum-X与传统以太网在AI计算性能上有何不同?"
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