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10.30 Simon Brady - Accelsius.pdf

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1、2Everyone is talking about AI.But is it really AI?Hi performance GPU workloads better description?How are your organisation and your infrastructure being impacted?AI is here,and it is here to stay.It will transform our lives.It will transform our businesses.It will transform our IT infrastructures.A

2、I is one of the most important things humanity is working on.It is more profound than electricity or fire.Sundar Pichai,CEOThis is the first time that a technology developed in Silicon Valley benefits the lives of everyday people so quickly and so tangibly.Satya Nadella,CEOAI is on the fast track to

3、 becoming ubiquitous at home,at work,and every-wherein between.60%of workers will use their own AI to perform their tasks.Predictions 2024:AIGenerative AI could potentially raise annual labor productivity growth by around 1.5pp over a 10-year period,and eventually raise global GDP by 7%.Gen AI raise

4、s the potential for a boom in labor productivity that significantly increases global growth.Joseph Briggs,Sr.Global EconomistI am already seeing AI workloads leading to a broad proliferation of accelerated computing infra-structure.This will require investments in next-generation data center physica

5、l infra-structure to support new architectures with higher power and thermal management requirements.Lucas Beran,Research DirectorSource:Forrester,BCG,Goldman Sachs,DellOro Group,IBM,News clippings4Encouraging AI use-cases are bringing in profit to businesses across all industry verticals.Higher cod

6、ing productivityConversion rate increaseResearch timeline reductionHigher fraud detection accuracyHigher quality of animated imagesCustomer service cost optimizationSource:BCG,GitHub,Vue.AI,Nature,ScienceDirect,BusinessWireTechnologyConsumerBiopharmaFinancialInstitutionsEntertainmentInsuranceGen AI

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本文主要探讨了AI技术对IT基础设施的影响和带来的挑战,以及冷却技术在此背景下的演变。 1. AI技术被认为是对人类极为重要的技术,其影响深远,预计到2032年,生成式AI市场将达1.3万亿美元。 2. AI工作负载导致了对更高性能计算基础设施的需求,传统的冷却方式已无法满足需求。 3. 随着AI技术的发展,机架密度预计将每12个月翻一番,液冷技术将逐渐取代空冷成为主流。 4. 为应对高热负载,服务器和GPU的功率密度不断提高,液冷设计变得至关重要。 核心数据引用: - 60%的工人将使用自己的AI来完成工作。 - 生成式AI可能在10年内使年均劳动生产率增长约1.5%,最终使全球GDP增长7%。 - 机架密度预计在未来几年内将迅速增长,液冷技术预期在未来几年内成为主导。 关键点分条: - AI技术的广泛应用对IT基础设施提出了更高要求。 - 机架密度的提升需要新型的冷却解决方案。 - 液冷技术因其高效能和可持续性,被视为未来数据中心的冷却趋势。
"AI时代,数据中心如何变革?" "液冷技术将如何颠覆数据机房?" "高密度GPU,我们准备好了吗?"
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