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OCP模块化标准(DC_MHS)——一个强大的行业转折点.pdf

上传人: 明**** 编号:1011378 2025-12-21 14页 1.61MB

1、OCP Modularity StandardsMHS:A powerful industry inflection pointSean Varley-Chief EvangelistAmpere ComputingOCP Modularity StandardsMHS:A powerful industry inflection pointSean VarleyChief Evangelist /Ampere Computing SERVERMHS VisionOld Platform ApproachNew Platform ModelModularity Delivers:Scalabi

2、lityFlexibilityCost EfficiencyTraditional Wisdom MHSAlong Comes the Age of AIThe way it wasThe ForecastMarket Size(Si,Systems,SW,Manageability)$5-7X BiggerPower Consumption2-4X more in 5 yearsComputational PlatformRack/ClusterServerVertical integration currently dominates AI More Processing More Net

3、working More Storage Higher Thermal Density Direct Liquid Cooling Custom Vertical Integration40%45%15%Edge InferencingData Center InferencingTrainingThe worlds AI infrastructure is currently optimized to train Large Batch Size Strict high precision Uniform SW Stack Long Steady State Runs Throughput

4、over timeTrainingInference Small Batch Size Relaxed precision Diverse SW Stack Lumpy or Spikey Runs Real-time biasedCPU Platformshttps:/ PlatformsCPU+GPU PlatformsForecasted AI by 2027AI is not one thing AI will be everywhereEmbedded DevicesEdge ServicesRegional Data CenterCore Data CenterMajor Cons

5、traintsSmall Form FactorsEnergy Supply&RackRack&Power DensityPower CapacityForm Factors1000s100s100100Modularity&Large Ecosystem of Solutions ProvidersDriving the next AI build out requiresMHS comes at the right timeMassive Diversification of Computing Platforms&SuppliersIntelAMDThe way it wasThe wa

6、y it isIntelAMDAmpere&other ArmNVIDIACustomHyper-scalerOtherAcceleratorsCompute complexity is increasing with AI More Power Delivery Higher Thermal Densities Greater Security and RoT More Cooling Options More Compute,Transistors,I/O Higher Speed Networking More Peripheral Compone

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根据报告的内容,全文主要内容概括如下: - **OCP Modularity Standards MHS(开放计算项目模块化标准MHS)**:这是一个旨在推动AI时代计算平台发展的新标准。 - **AI市场增长预测**:预计到2027年,AI市场规模将增长5-7倍。 - **AI基础设施优化**:当前AI基础设施主要优化于训练,而未来需要更多关注推理。 - **计算平台多样化**:预计到2027年,AI将无处不在,包括嵌入式设备、边缘服务、区域数据中心和核心数据中心。 - **MHS的优势**:MHS通过模块化提供可扩展性、灵活性、成本效益和时间效率。 - **MHS社区参与**:鼓励参与OCP MHS社区,推动平台建设、商业采用和项目创新。 - **MHS规格**:MHS规格包括多种技术、形态和用例,旨在构建开放AI规模化和扩展平台。
"AI时代,OCP MHS如何引领模块化变革?" "模块化标准MHS,AI基础设施的未来蓝图?" AI时代,构建开放生态的关键?"
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