认知时代的市场展望及解决方案

2017认知时代的市场展望及解决方案李永辉(Peter

Lee)IBM大中华区系统硬件部杰出工程师集中式大型主机认知时代CognitiveErae-Business电子商务分布式计算智慧地球云计算OfficeProductivityClient/

ServerPersonalComputerDataWarehousingBigData&

PredictiveAnalyticsCognitiveIT行业持续不断的演变数据处理洞悉能力大数据内容TransactionalDatabaseBusinessIntelligenceBigData&AnalyticsActionableInsightincontext报表处理异构平台GPU/FPGA实时处理非结构化数据处理AI／深度学习自然语言理解问题应答技术图像／视频／语音识别NoSQL／GPU

DB物联网连接…认知应用具备URLI特性学习能力LearningDeepLearning/Machine

Learning

深度学习/机器学习Image

/Video

/VoiceRecognition图像/视屏／语音识别推理能力ReasoningHigh

Performance

Data

Analytics高性能数据分析Knowledge

Representation

and

Reasoning

知识表示与推理理解能力UnderstandNaturalLanguageProcessing(NLP)自然语言理解Unstructured

Information

Management非结构化数据管理互动能力InteractiveText

To

Speech(TTS)/SpeechtoText(STT)文本语音／语音文本转换技术QuestionAnsweringTechnology问题应答技术汽车与交通运输AutomotiveandTransportation保安与公共安全SecurityandPublicSafety消费者互联网，移动，零售ConsumerWeb,Mobile,Retail医药与生物MedicineandBiology广播、媒体和娱乐Broadcast,MediaandEntertainmentAutonomousdriving:PedestriandetectionAccidentavoidanceAuto,trucking,heavyequipment,Tier1suppliers(Hyundai,Toyota,Komatsu,GeneralMotors,Volvo)Titles:DirectorofResearch,NewApplications,“autonomous”intitleVideoSurveillanceImageanalysisFacialrecognitionanddetectionLocalandnationalpolice,publicandprivatesafety/security(ADT,IViz,Pinkerton,Sentry)Titles:HeadofAnalyticsImagetaggingSpeechrecognitionNaturallanguageSentimentanalysisHyperscalewebcompanies,largeretail(Googlephotos,Twitter,Woolworths,Aeon)Titles:VP/DirMarketing,ChiefCustomerOfficer,NewApplicationResearchDrugdiscoveryDiagnosticassistanceCancercelldetectionPharmaceutical,Medicalequipment,Diagnosticlabs(Takeda,AsianPharma,Pfizer)Titles:Principalinvestigators,DirofScientificresearchCaptioningSearchRecommendationsRealtimetranslationConsumerfacingcompanieswithlargestreamingofexistingmedia,orrealtimecontentTitles:VP/DirofMarketing,Closedcaptioningroles,DirTranslationservices认知计算影响各行业未来发展认知市场发展规模IBMPowerSystemsEnterpriseCloud服务器

IBM

Power

E880C

/E870C(C-model)私有云架构On-PremisesCloud混合云架构HybridInfrastructureModernizeyourPowerinfrastructurefortheCloud,getaccesstoIBMCloudforfree

andcutyourcurrentoperatingcostsby50%FreeBuilt-inCloudDeploymentServiceOptionsTransformtraditionalinfrastructurewithautomation,

self-serviceandelasticconsumptionmodelsSecurelyextendtoPublicCloudwithrapidaccess

tocomputeservicesandAPIintegrationOpenStack-basedCloudManagement:

enablingDevOpstoFullproductionOpensourceautomation:

installationandconfig.recipesFlexibleelasticprivatecloudcapacityandconsumptionmodelsCrossDataCenterInventoryandPerformanceMonitoringviatheIBMCloudManageVMsacrossonandoff-premisescloudswithasinglepaneofglass(e.g.,VMwarevRealize)Securelyconnecttraditionalworkloadswithcloud-nativeapps(Power&APIConnect,BlueMix)OptionalDRasaService(GDRforPower)FreeaccessandcapacityflexibilitywithSoftLayerFreeSoftLayerstarterpack(12servermonths)FlexibilitytoruncapacityOnPremisesorinSoftLayerDesignforCloudProvisioningandAutomationBuildforInfrastructureasaServiceBuildforCloudCapacityPoolsacrossDataCentersNote:Yellowtextindicatesnewcontentinadditiontopackaging5DesignforHybridCloudwithBlueMixDeliverwithautomationforDevOpsDeliverwithDatabaseasaService

9S822LCForHighPerformanceComputingIncorporatesthenewPOWER8processorwithNVIDIANVLinkDelivers2.8XthebandwidthtoGPUsacceleratorsUpto4integratedNVIDIA“Pascal”GPUsS822LCForBigDataIdealforstorage-centricandhighdatathrough-putworkloadsBrings2POWER8socketsforBigDataworkloadsBigdataaccelerationwithworkCAPIandGPUsS821LCStoragerichsinglesocketsystemforbigdataapplicationsMemoryIntensiveworkloadsS822LC2XmemorybandwidthofIntelx86systemsMemoryIntensiveworkloadsS812LC2POWER8socketsina1UformfactorIdealforenvironmentsrequiringdensecomputingNEWNEWNEW大数据BigData高性能计算HighPerformanceComputing计算密集ComputeIntensiveIBMPowerSystemsLC最新产品线OpenPOWERserversforcloudandclusterdeploymentsthataredifferentbydesignAnnounce9/8,GA9/26AnnounceandGA9/8AnnounceandGA9/8NDAuntilSeptember8,2016©2017InternationalBusinessMachinesCorporation透过场内、云端或Watson平台，提供加速计算处理和存储服务IBMPowerSystems

为认知计算最佳平台IBMSyNAPSE神经元芯片：开创大规模神经网络计算Dr.DharmendraModhaIBMFellowSource:

/articles/brain-chip.shtmlTheSyNAPSEprojectdrewondecadesofneurosciencedatatounderstandthefundamentalneurophysiologyandneuroanatomyofthebrain……andusedsupercomputersimulationstotestandverifyaneurosynapticarchitecturewithrespecttopower,area,speed,computation,communication,andmemory认知时代发展迅速的深度学信技术WhatyouandIdowithouteventhinkingaboutit…..ourbrainshaveimmenselypowerfulneuralnetworksthathavebeentrainedtorecognizeaudio,textandimagesinstantly....eachneuronresponsiblefordecompositionofaportionofthewhole,andthenetworkofneuronscontributingtoanaggregateconclusion.source－/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/人工智能机器学习深度学习认知系统包含了学习与推理2个主要阶段TrainDataSetDNNNetFileTrainedmodelApplicationDatafromUser学习阶段Training(development)Stage推理／辨识阶段Inference/Recognition(deployment)StageBigdataplatform

(Hadoop,Spark)DeepLearningplatform(caffe,Torch,Theano,TensorFlow,etc.)ModelpoolDataManagementCPU+GPUclusterDataCleansingFeatureEngineeringModelingDeepLearningplatformApplicationservers,DBservice,messaging,etc.CPU+GPU/FPGAclusterApplicationRecognition,classificationTime-toInsightTime-toMarketIBM最新PowerAI平台：整合AI

框架14CaffeNVCaffeTorchIBMCaffeDL4JTensorFlowOpenBLASTheanoDeepLearningFrameworksAcceleratedServersandInfrastructureforScalingSpectrumScale:High-SpeedParallelFileSystemScaletoCloudClusterofNVLinkServersComingSoonBazelDIGITSNCCLDistributedFrameworksSupportingLibrariesChainerPowerAI预先封装并简化下载、编译、优化与安装Tested,binarybuildsofcommonDeepLearningframeworksforeaseofimplementationSimple,completeinstallationprocessdocumentedon/poweraiFuturefocusonoptimizingspecificpackagesforPOWER:OpenBLAS,NVIDIACaffe,TensorFlow,andTorchPowerAIOSUbuntu16.04CUDA8.0cuDNN5.1Builtw/MASSYesOpenBLAS0.2.19Caffe1.0rc3NVIDIA

Caffe0.14.5+0.15.3IBMCaffe1.0rc3Chainer0.18NVIDIADIGITS5Torch7Theano0.8.2TensorFlow0.12.0GPU4xP100BaseSystemS822LC/HPCIBM发布世界第一台全面支持NVLINK服务器2

x

POWER8

socket

(20cores,2.86-3.26GHz)4xNVIDIAP100

GPUs

within

2U

1TBMemory(32DIMMs)230GB/secmemorybandwidth2xSFF(HDD/SSD),NVMe3PCIeslots,3CAPIenabled,IBAdd-inIBMPowerS822LCforHPC(Minsky)独有GPU-CPU及GPU-GPUNVLINK

连接微一般PCIe连接的2.5倍机器学习／深度学习领域充满了创新及初创企业采用混合云架构实现多速ITComposableenvironmentstorapidlybuildanddeploynewcloud-nativeandmobilesolutionsFlexibilitytomoveappstothecloudas-isorbuildcloudnativesolutionsLeverageexistinginvestmentsbyconnectingthemtocloudservicesCloudNativeSolutionsCloudEnabledSolutionsMulti-speedITPartnersAppsAccessInfoProcessInteractionCoreenterpriseDigitalecosystem认知时代配合开放的技术CONTAINERAPACHEBLOCKCHAINNoSQLOPENCAPI20异构资源的IaaS云平台x86x86ESXivCenterKVMx86Hyper-V虚拟化层资源池层云管平台层PowerCloud

构建不同层次云平台架构PowerLinuxPOWER8POWER8PowerSystemsNovaLinkNovaLinkHMCPowerEnterprisePools

完整功能云管理平台基于OpenStack的云管平台vRealizeAutomationSTARTCloudKVMNovaDriverVMWareDriverHyper-VNovaDriverPowerVCDriver基于PowerVM资源的IaaS云平台Source－/腾讯采用了512台OpenPOWER服务器，相对2015年度世界冠军阿里巴巴的3377台x86服务器，服务器数量减少了6.5倍，但性能却提升了2.8至5倍！2.8倍3.3倍4.8倍5.0倍512nodes（2U）x20

cores@

2.93GHz

POWER8512GBRAM,4x1.2TBNVMeSSD100GbMellanoxConnectX4-ENIBM能提供全面混合云解决方案云交付优化当前解决方案，可以选择云部署价值：灵活性、成本、可移植性优化云平台用来构建云解决方案的原生云平台、基础架构、DevOps和认知服务等价值：创新、业务灵敏性创建BluemixWatson22云支持原生云云连接在云端中交付的软件，采用云服务增强性能价值：扩展业务价值连接MSP/CMS供应商APIConnectAppConnectWebSphereConnectMessageConnectDBConnect

IoT物联网TheWastonthatcompetedonJeopardy!in2011comprisedwhat

isnowasingleAPI—Q&A—built

onfiveunderlyingtechnologies.Sincethen,Watsonhasgrowntoafamilyof30+APIs.Bytheendof2016,therewillbenearly50WatsonAPIs—withmoreaddedeveryyear.IBMBluemix

提供数十个WatsonAPI

认知服务RelationshipExtractionQuestions&

AnswersLanguageDetectionPersonalityInsightsKeywordExtractionImageLinkExtraction

FeedDetectionVisualRecognitionConceptExpansionConceptInsightsDialogSentimentAnalysisTexttoSpeechTradeoffAnalyticsNaturalLanguageClassifierAuthorExtractionSpeechtoTextRetrieve&RankWatsonNewsLanguageTranslationEntityExtractionToneAnalyzerConceptTaggingTaxonomyTextExtractionMessage

ResonanceImageTaggingFaceDetectionAnswerGenerationUsageInsightsFusionQ&AVideoAugmentationDecisionOptimizationKnowledgeGraphRiskStratificationPolicyIdentificationEmotionAnalysisDecisionSupportCriteriaClassificationKnowledgeCanvasEasyAdaptationKnowledgeStudioServiceStatisticalDialogQ&AQualificationFactoidPipelineCaseEvaluationNaturalLanguageProcessingMachineLearningQuestionAnaly