認知時代的市場展望及解決方案

2017認知時代的市場展望及解決方案李永輝(Peter

Lee)IBM大中華區(qū)系統(tǒng)硬件部杰出工程師集中式大型主機認知時代CognitiveErae-Business電子商務分布式計算智慧地球云計算OfficeProductivityClient/

ServerPersonalComputerDataWarehousingBigData&

PredictiveAnalyticsCognitiveIT行業(yè)持續(xù)不斷的演變數據處理洞悉能力大數據內容TransactionalDatabaseBusinessIntelligenceBigData&AnalyticsActionableInsightincontext報表處理異構平臺GPU/FPGA實時處理非結構化數據處理AI／深度學習自然語言理解問題應答技術圖像／視頻／語音識別NoSQL／GPU

DB物聯網連接…認知應用具備URLI特性學習能力LearningDeepLearning/Machine

Learning

深度學習/機器學習Image

/Video

/VoiceRecognition圖像/視屏／語音識別推理能力ReasoningHigh

Performance

Data

Analytics高性能數據分析Knowledge

Representation

and

Reasoning

知識表示與推理理解能力UnderstandNaturalLanguageProcessing(NLP)自然語言理解Unstructured

Information

Management非結構化數據管理互動能力InteractiveText

To

Speech(TTS)/SpeechtoText(STT)文本語音／語音文本轉換技術QuestionAnsweringTechnology問題應答技術汽車與交通運輸AutomotiveandTransportation保安與公共安全SecurityandPublicSafety消費者互聯網，移動，零售ConsumerWeb,Mobile,Retail醫(yī)藥與生物MedicineandBiology廣播、媒體和娛樂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認知計算影響各行業(yè)未來發(fā)展認知市場發(fā)展規(guī)模IBMPowerSystemsEnterpriseCloud服務器

IBM

Power

E880C

/E870C(C-model)私有云架構On-PremisesCloud混合云架構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大數據BigData高性能計算HighPerformanceComputing計算密集ComputeIntensiveIBMPowerSystemsLC最新產品線OpenPOWERserversforcloudandclusterdeploymentsthataredifferentbydesignAnnounce9/8,GA9/26AnnounceandGA9/8AnnounceandGA9/8NDAuntilSeptember8,2016?2017InternationalBusinessMachinesCorporation透過場內、云端或Watson平臺，提供加速計算處理和存儲服務IBMPowerSystems

為認知計算最佳平臺IBMSyNAPSE神經元芯片：開創(chuàng)大規(guī)模神經網絡計算Dr.DharmendraModhaIBMFellowSource:

/articles/brain-chip.shtmlTheSyNAPSEprojectdrewondecadesofneurosciencedatatounderstandthefundamentalneurophysiologyandneuroanatomyofthebrain……andusedsupercomputersimulationstotestandverifyaneurosynapticarchitecturewithrespecttopower,area,speed,computation,communication,andmemory認知時代發(fā)展迅速的深度學信技術WhatyouandIdowithouteventhinkingaboutit…..ourbrainshaveimmenselypowerfulneuralnetworksthathavebeentrainedtorecognizeaudio,textandimagesinstantly....eachneuronresponsiblefordecompositionofaportionofthewhole,andthenetworkofneuronscontributingtoanaggregateconclusion.source－/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/人工智能機器學習深度學習認知系統(tǒng)包含了學習與推理2個主要階段TrainDataSetDNNNetFileTrainedmodelApplicationDatafromUser學習階段Training(development)Stage推理／辨識階段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平臺：整合AI

框架14CaffeNVCaffeTorchIBMCaffeDL4JTensorFlowOpenBLASTheanoDeepLearningFrameworksAcceleratedServersandInfrastructureforScalingSpectrumScale:High-SpeedParallelFileSystemScaletoCloudClusterofNVLinkServersComingSoonBazelDIGITSNCCLDistributedFrameworksSupportingLibrariesChainerPowerAI預先封裝并簡化下載、編譯、優(yōu)化與安裝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發(fā)布世界第一臺全面支持NVLINK服務器2

x

POWER8

socket

(20cores,2.86-3.26GHz)4xNVIDIAP100

GPUs

within

2U

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

連接微一般PCIe連接的2.5倍機器學習／深度學習領域充滿了創(chuàng)新及初創(chuàng)企業(yè)采用混合云架構實現多速ITComposableenvironmentstorapidlybuildanddeploynewcloud-nativeandmobilesolutionsFlexibilitytomoveappstothecloudas-isorbuildcloudnativesolutionsLeverageexistinginvestmentsbyconnectingthemtocloudservicesCloudNativeSolutionsCloudEnabledSolutionsMulti-speedITPartnersAppsAccessInfoProcessInteractionCoreenterpriseDigitalecosystem認知時代配合開放的技術CONTAINERAPACHEBLOCKCHAINNoSQLOPENCAPI20異構資源的IaaS云平臺x86x86ESXivCenterKVMx86Hyper-V虛擬化層資源池層云管平臺層PowerCloud

構建不同層次云平臺架構PowerLinuxPOWER8POWER8PowerSystemsNovaLinkNovaLinkHMCPowerEnterprisePools

完整功能云管理平臺基于OpenStack的云管平臺vRealizeAutomationSTARTCloudKVMNovaDriverVMWareDriverHyper-VNovaDriverPowerVCDriver基于PowerVM資源的IaaS云平臺Source－/騰訊采用了512臺OpenPOWER服務器，相對2015年度世界冠軍阿里巴巴的3377臺x86服務器，服務器數量減少了6.5倍，但性能卻提升了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決方案云交付優(yōu)化當前解決方案，可以選擇云部署價值：靈活性、成本、可移植性優(yōu)化云平臺用來構建云解決方案的原生云平臺、基礎架構、DevOps和認知服務等價值：創(chuàng)新、業(yè)務靈敏性創(chuàng)建BluemixWatson22云支持原生云云連接在云端中交付的軟件，采用云服務增強性能價值：擴展業(yè)務價值連接MSP/CMS供應商APIConnectAppConnectWebSphereConnectMessageConnectDBConnect

IoT物聯網TheWastonthatcompetedonJeopardy!in2011comprisedwhat

isnowasingleAPI—Q&A—built

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

提供數十個WatsonAPI

認知服務RelationshipExtractionQuestions&

AnswersLanguageDetectionPersonalityInsightsKeywordExtractionImageLinkExtraction

FeedDetectionVisualRecognitionConceptExpansionConceptInsightsDialogSentimentAnalysisTexttoSpeechTradeoffAnalyticsNaturalLanguageClassifierAuthorExtractionSpeechtoTextRetrieve&RankWatsonNewsLanguageTranslationEntityExtractionToneAnalyzerConceptTaggingTaxonomyTextExtractionMessage

ResonanceImageTaggingFaceDetectionAnswerGenerationUsageInsightsFusionQ&AVideoAugmentationDecisionOptimizationKnowledgeGraphRiskStratificationPolicyIdentificationEmotionAnalysisDecisionSupportCriteriaClassificationKnowledgeCanvasEasyAdaptationKnowledgeStudioServiceStatisticalDialogQ&AQualificationFactoidPipelineCaseEvaluationNaturalLanguageProcessingMachineLearningQuestionAnaly