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基于Photonic Fabric的放大网络用于芯片到芯片和芯片到内存的连接.pdf

上传人: c** 编号:464918 2025-01-12 17页 4.26MB

1、 2023 Celestial AI.All Rights Reserved.Celestial AI ConfidentialPhotonic FabricTMbased Scale-Up Network for Chip-to-Chip&Chip-to-Memory ConnectivityPreet VirkCo-Founder&COO,Celestial AI 2024 Celestial AI Inc.,All Rights Reserved.Celestial AI,the C logo,and Photonic Fabric are trademarks or registere

2、d trademarks of Celestial AI Inc.in the United States and other countriesAI Hardware Summit,San Jose11th Sep 2024AI The Largest Technological Wave We Have Ever Seen2Notes:1.Source:The economic potential of generative AI(McKinsey,June 2023);Total AI economic potential estimated to range from$17.1Tn t

3、o$25.6Tn)PioneersPioneers1960-1980($200Bn)1980-2000($600Bn)2000-2020($1.2 Trillion)Pioneers2020 and beyond($20 Trillion)PioneersMainframe100s of 1,000s of usersClient/ServerMillions of usersCloud/MobileBillions of usersAI/Large Language Models10s of billions of connected people,devices and applicati

4、onsAll are building their own AI Processorsand Data Center ArchitecturesFour Hyperscalers Represent 70%of Data Center MarketUnprecedented Growth&Market ConcentrationSource:Morgan Stanley Artificial Intelligence is Changing Everything!AI Driving a New Generation of Optical Compute InterconnectHBM3 HB

5、M4 Equivalent Bandwidth:The Minimum Requirement for Accelerated Computing Optical Interconnect Scale-Up Network for XPU-XPU Connectivity:Enabling Cluster Scale Processing of AI models Celestial AIs Photonic Fabric-Optical Interconnect for Accelerated Computing17.8 TbpsCPO 120242026202820302032203420

6、16201820202022Off Package Bandwidth1.Industry Trend based on data by John Wilson,Nvidia Research:“High Bandwidth Density,Energy Efficient Short Reach Signaling that Enables Massively Scalable Parallelism”2.Assuming 6 chiplets per XPU1010011,00010,000Total Off-Package Bandwidth(Tbps)32016080402064010

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本文介绍了Celestial AI的Photonic Fabric技术,这是一种基于光子学的芯片间连接方案,旨在提升芯片与芯片、芯片与内存之间的连接性能。文章指出,Photonic Fabric能提供高达17.8Tbps的CPO连接带宽,显著提高数据传输效率,降低延迟和能耗。相较于传统的铜连接,Photonic Fabric在带宽、延迟和能效方面具有明显优势。该技术还能支持更大规模的数据中心,满足AI模型训练和推理的需求。例如,通过Photonic Fabric,16个XPU-Optical可以处理一个10T参数的DLRM模型,相较于56个传统的XPU,能效和性能都有显著提升。Photonic Fabric的出现,为AI基础设施的发展提供了新的视角,有望推动AI技术的大规模应用和普及。
如何重塑AI计算?" 开启数据中心新纪元吗?" 光子技术将如何引领未来?"
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