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e-Tube 技术——突破互连壁垒加速 AI 集群规模化.pdf

上传人: 明**** 编号:1011377 2025-12-21 17页 1.30MB

1、e e-Tube Technology:Tube Technology:Breaking Interconnect Barriers to Breaking Interconnect Barriers to Accelerate AI Cluster Scale UpAccelerate AI Cluster Scale UpPoint2 Technology Inc.e-Tube Technology:Breaking Interconnect Barriers to Accelerate AI Cluster Scale UpDavid KuoVP of Product Marketing

2、Point2 TechnologyNETWORKINGEnergy Efficiency Critical to Sustainable AI GrowthAI-Focused Interconnect is Vital*Commscope-Cabling Considerations of AI data centersNetwork Latency=Compute Efficiency=Energy EfficiencyDramatically ReduceInterconnect Power Consumption1Higher Bandwidth Density to Unblock

3、GPU-To-GPU Communication2Near-Zero Latency to Minimize GPU-to-GPU Communication Delay370%30%LLM Training Cost*ComputeNetwork LatencyAI Cluster Scale-Up Interconnect Targets MetricTargetEnergy Efficiency 5 pJ/bCable Reach 10mCost$0.10/Gbps$0.05/GbpsBeach Front Density 1 Tb/mmLatencyNear zeroThe Coppe

4、r CliffToo thickToo shortNot scalable5Copper and Optical Barriers Limiting Short-Reach,Terabit-level AI Compute Scale UpThe Optical PenaltiesToo ExpensiveToo power hungryReliability Issues LatencyIntroducing e-TubeBreaking the Barriers of Copper and Optical CablingPower3X LowerLatency1000X LowerCost

5、3X LowerCable Length10X Coppervs.OpticalCablingRF Transmitter and Receiver ICs for Data Transmission over Plastic Dielectric Waveguidee-Tube flat frequency response and fixed bandwidth across the spectrum Scale in speed using the same e-Tube core construction for 224G/448G/beyondHow e-Tube WorksElec

6、trical Domain(Copper)Electrical Domain(Copper)RF Domain(eRF Domain(e-Tube over Plastic Waveguide)Tube over Plastic Waveguide)Cable GenerationSERDES Data RateModulationDifferential Pairs(TX&RX)Dual Carrier FrequenciesChannel BandwidthModulation RF Data Ratee-Tube Cores(TX&RX)1.6T224GPAM416(8 Tx,8 Rx)

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根据《e-Tube Technology:Breaking Interconnect Barriers toAccelerate AI Cluster Scale Up》的内容,以下是全文关键点的概括: 1. **AI集群扩展挑战**:传统铜线和光纤在带宽、延迟和成本方面限制了AI集群的扩展。 2. **e-Tube技术优势**: - **低延迟**:近零延迟,降低GPU间通信延迟。 - **高带宽密度**:实现1 Tb/mm的带宽密度。 - **低成本**:将成本从$0.10/Gbps降低到$0.05/Gbps。 - **高能效**:能效低于5 pJ/b。 3. **技术特点**: - 使用塑料介质波导进行数据传输。 - 支持多种数据速率,如224G/448G。 - 重量和柔韧性优于铜线。 4. **应用场景**: - 连接GPU集群,扩展AI集群。 - 机架内连接xPU和交换机。 5. **未来展望**: - 与行业合作,发展新的连接器和标准。 - 推动非定时、定时和线性互连技术的发展。
AI集群升级的突破性连接方案?" e-Tube如何降低AI数据中心能耗?" AI集群规模扩展的效率新标杆?"
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