InvestorPresentationQ2FY24

August28,2023

Exceptforthehistoricalinformationcontainedherein,certainmattersinthispresentationincluding,butnotlimitedto,statementsasto:ourfinancialposition;ourmarkets,market

opportunity,demandandgrowthdrivers;CSPsundertakingagenerationaltransitiontoupdatetheirinfrastructurefortheneweraofacceleratedcomputingandAI;enterprisesracingtoadoptgenerativeAI;ourbeliefthatglobalenddemandforgaminghasreturnedtogrowth;thegrowingnumberofGPUcloudprovidersdeployinginvolumeHGXsystemsbasedonour

HopperandAmpereGPUarchitecture;ourexpectationthatdatacentersupplywillincreaseeachquarterthroughnextyear;alargeupgradeopportunityahead;thelikelihoodthatthe

seasonalityoftheoverallgamingmarketwillshift;RTX/DLSSecosystemcontinuingtoexpand;thetimingofadesktopworkstationrefresh;theexpandingopportunityinProfessional

VisualizationforRTXtechnology;theimpactofourpartnershipwithMediaTek;ourfinancialoutlook,expectationofsequentialgrowthtobedrivenlargelybyDataCenter,withGamingandProfessionalVisualizationalsocontributing,andourexpectedtaxratesforthethirdquarteroffiscal2024;thebenefits,impact,performance,featuresandavailabilityofourproductsandtechnologies;thebenefits,impact,featuresandtimingofourcollaborationsorpartnerships;NVIDIAacceleratedcomputingbeingbroadlyrecognizedasthewaytoadvancecomputingasMoore’slawends;acceleratedcomputingbeingneededtotacklethemostimpactfulopportunitiesofourtime;NVIDIA’sexpandingacceleratedcomputingecosystem;NVIDIA’svalueto

everystakeholderintheecosystem;AIasthegreatesttechnologyforceofourtime;generativeAIunlockingnewopportunities;datacentersacrossindustriesbecomingAIfactories;the

nextwaveofAIbeingroboticsandindustrialdigitalization,andOmniversebeingessentialforrobotics;NVIDIA’saccelerationstacksandecosystemshelpingtobringAItotheworld’slargestindustries;NVIDIA’sAIexpertiseandscalehelpingtorevolutionizebusinesses;NVIDIAsoftwareandservicesenablingtheworld’senterprisestorevolutionizeindustrieswithAI;thecostandtime-to-solutionsavingsofapplicationspeed-ups;ourdividendprogramplan;ourAutomotivedesignwinpipeline,rampandproductionexpectations;ouraimtoengagemanufacturing

suppliersandgoalofeffectingsupplieradoptionofscience-basedenvironmentaltargetsbyfiscal2026;andourplanfor100%renewableelectricityforouroperationsanddatacentersbyfiscal2025andannuallythereafterareforward-lookingstatements.

Theseforward-lookingstatementsandanyotherforward-lookingstatementsthatgobeyondhistoricalfactsthataremadeinthispresentationaresubjecttorisksanduncertaintiesthatmaycauseactualresultstodiffermaterially.Importantfactorsthatcouldcauseactualresultstodiffermateriallyinclude:globaleconomicconditions;ourrelianceonthirdpartiesto

manufacture,assemble,packageandtestourproducts;theimpactoftechnologicaldevelopmentandcompetition;developmentofnewproductsandtechnologiesorenhancementstoour

existingproductandtechnologies;marketacceptanceofourproductsorourpartners'products;design,manufacturingorsoftwaredefects;changesinconsumerpreferencesanddemands;changesinindustrystandardsandinterfaces;unexpectedlossofperformanceofourproductsortechnologieswhenintegratedintosystemsandotherfactors.

NVIDIAhasbasedtheseforward-lookingstatementslargelyonitscurrentexpectationsandprojectionsaboutfutureeventsandtrendsthatitbelievesmayaffectitsfinancialcondition,

resultsofoperations,businessstrategy,short-termandlong-termbusinessoperationsandobjectives,andfinancialneeds.Theseforward-lookingstatementsaresubjecttoanumberof

risksanduncertainties,andyoushouldnotrelyupontheforward-lookingstatementsaspredictionsoffutureevents.Thefutureeventsandtrendsdiscussedinthispresentationmaynot

occurandactualresultscoulddiffermateriallyandadverselyfromthoseanticipatedorimpliedintheforward-lookingstatements.AlthoughNVIDIAbelievesthattheexpectationsreflectedintheforward-lookingstatementsarereasonable,thecompanycannotguaranteethatfutureresults,levelsofactivity,performance,achievementsoreventsandcircumstancesreflectedintheforward-lookingstatementswilloccur.Exceptasrequiredbylaw,NVIDIAdisclaimsanyobligationtoupdatetheseforward-lookingstatementstoreflectfutureeventsorcircumstances.Foracompletediscussionoffactorsthatcouldmateriallyaffectourfinancialresultsandoperations,pleaserefertothereportswefilefromtimetotimewiththeSEC,includingourmost

recentAnnualReportonForm10-K,QuarterlyReportsonForm10-Q,andCurrentReportsonForm8-K.CopiesofreportswefilewiththeSECarepostedonourwebsiteandareavailablefromNVIDIAwithoutcharge.

Manyoftheproductsandfeaturesdescribedhereinremaininvariousstagesandwillbeofferedonawhen-and-if-availablebasis.Thestatementswithinarenotintendedtobe,andshouldnotbeinterpretedasacommitment,promise,orlegalobligation,andthedevelopment,release,andtimingofanyfeaturesorfunctionalitiesdescribedforourproductsissubjecttochangeandremainsatthesolediscretionofNVIDIA.NVIDIAwillhavenoliabilityforfailuretodeliverordelayinthedeliveryofanyoftheproducts,featuresorfunctionssetforthherein.

NVIDIAusescertainnon-GAAPmeasuresinthispresentationincludingnon-GAAPgrossprofit,non-GAAPgrossmargin,non-GAAPoperatingexpenses,non-GAAPoperatingincome,non-GAAPoperatingmargin,non-GAAPnetincome,non-GAAPdilutedearningspershare,andfreecashflow.NVIDIAbelievesthepresentationofitsnon-GAAPfinancialmeasuresenhancesinvestors'overallunderstandingofthecompany'shistoricalfinancialperformance.Thepresentationofthecompany'snon-GAAPfinancialmeasuresisnotmeanttobeconsideredin

isolationorasasubstituteforthecompany'sfinancialresultspreparedinaccordancewithGAAP,andthecompany'snon-GAAPmeasuresmaybedifferentfromnon-GAAPmeasuresusedbyothercompanies.Furtherinformationrelevanttotheinterpretationofnon-GAAPfinancialmeasures,andreconciliationsofthesenon-GAAPfinancialmeasurestothemostcomparableGAAPmeasures,maybefoundintheslidetitled“ReconciliationofNon-GAAPtoGAAPFinancialMeasures”.

Content

.Q2FY24EarningsSummary

.KeyAnnouncementsThisQuarter

.NVIDIAOverview

.Financials

.ReconciliationofNon-GAAPtoGAAPFinancialMeasures

Q2FY24

EarningsSummary

Highlights

?ExceptionalgrowthdrivenbyDataCenter

?Totalrevenueup101%Y/Yto$13.51B,aboveoutlookof$11.00B+/-2%

?DataCenterup171%Y/Yto$10.32B

?Gamingup22%Y/Yto$2.49B

?RecordDataCenterrevenueontremendousdemandforNVIDIAacceleratedcomputingandAIplatforms

?CSPsareundertakingagenerationaltransitiontoupgradetheirinfrastructurefortheneweraofacceleratedcomputingandAI

?Consumerinternetcompanies’investmentsinAIpurpose-builtdatacenterinfrastructurearealreadygeneratingsignificantreturns

?EnterprisesareracingtodeploygenerativeAI,drivingstrongconsumptionofNVIDIA-poweredinstancesinthecloud,aswellasdemandforon-preminfrastructure

?StrongGaminggrowthfueledbyGeForceRTX40SeriesGPUsforlaptopsanddesktops

?End-customerdemandwassolid,andconsistentwithseasonality;believeglobalenddemandhasreturnedtogrowth

?LaptopGPUspostedstronggrowthinthekeyback-to-schoolseason,ledbyRTX4060GPUs

?LaunchedGeForceRTX4060and4060TiGPUsfordesktops,bringingAdaLovelacedowntopricepointsaslowas$299

56.1%

71.2%

15,500

13,500

11,500

9,500

7,500

5,500

3,500

1,500

Revenue($M)Non-GAAPGM

$13,507

$6,704

66.1%

$7,192

Q2FY23Q3FY23Q4FY23Q1FY24Q2FY24

90.0%

85.0%

80.0%

75.0%

70.0%

65.0%

60.0%

55.0%

50.0%

45.0%

40.0%

45.9%

66.8%

$5,931

$6,051

Q2FY24FinancialSummary

GAAP

Non-GAAP

Q2FY24

Y/Y

Q/Q

Q2FY24

Y/Y

Q/Q

Revenue

$13,507

+101%

+88%

$13,507

+101%

+88%

GrossMargin

70.1%

+26.6pts

+5.5pts

71.2%

+25.3pts

+4.4pts

Operating

Income

$6,800

+1,263%

+218%

$7,776

+487%

+155%

NetIncome

$6,188

+843%

+203%

$6,740

+422%

+148%

DilutedEPS

$2.48

+854%

+202%

$2.70

+429%

+148%

CashFlow

fromOps

$6,348

+400%

+118%

$6,348

+400%

+118%

AlldollarfiguresareinmillionsotherthanEPS.RefertoAppendixforreconciliationofNon-GAAPmeasures.

DataCenter

171%Y/Y

and

141%Q/Q

$10,323

$4,284

$3,833

$3,806

$3,616

Q2FY23Q3FY23Q4FY23Q1FY24Q2FY24

Highlights

?DataCentercomputerevenuenearlytripledyear-on-year,drivenprimarilybyacceleratingdemandfromcloudserviceprovidersandlargeconsumerinternetcompaniesforourHGXplatform

?AWS,GoogleCloud,Meta,MicrosoftAzure,andOracleCloudandagrowingnumberofGPUcloudprovidersaredeployinginvolume

HGXsystemsbasedonourHopperandAmpereGPUarchitecture

?Expectsupplytoincreaseeachquarterthroughnextyear

?DataCenternetworkingrevenuealmostdoubledyear-on-year,drivenbyourend-to-endInfiniBandnetworkingplatform

?BlueField-3DPUisinqualificationwithallmajorOEMsand

rampingacrossmultipleCSPsandconsumerinternetcompanies

Revenue($M)

Gaming

22%Y/Y

and

11%Q/Q

$2,486

$2,240

$2,042

$1,831

$1,574

Q2FY23Q3FY23Q4FY23Q1FY24Q2FY24

Revenue($M)

Highlights

?GrowthfueledbyGeForceRTX40seriesGPUsforlaptopsanddesktops

?Largeupgradeopportunityahead:just47%ofinstalledbasehaveupgradedtoRTX;~20%haveaGPUwithRTX3060orhigher

?NVIDIAGPU-poweredlaptopshavegainedinpopularity;shipmentsnowoutpacedesktopGPUsinseveralregionsaroundtheworld

?LikelytoshiftoverallGamingseasonalityabit,withQ2andQ3

stronger,reflectingtheback-to-schoolandholidaybuildschedules

?RTX/DLSSecosystemcontinuestoexpand;35newgamesaddedDLSSsupport,includingDiabloIVandBaldur’sGate3;therearenowover330RTXacceleratedgamesandapps

?BringinggenerativeAItogamingwithNVIDIAAvatarCloudEngine(ACE)forGames

$496

28%Q/Q

24%Y/Y

$379

$295

ProfessionalVisualization

Highlights

?Adaarchitecturerampdrovestronggrowth,rollingoutinitiallyinlaptopworkstations

?DesktopworkstationsrefreshcominginQ3

?PowerfulnewRTXsystemswithupto4NVIDIARTX6000GPUs,

configuredwithNVIDIAAIEnterpriseorNVIDIAOmniverseEnterprise

?ThreenewdesktopworkstationGPUsbasedontheAdageneration:NVIDIARTX5000,4500,and4000

?NewworkloadsingenAI,LLMdevelopmentanddatascienceareexpandingtheopportunityinProVizforRTXtechnology

$226

$200

Q2FY23Q3FY23Q4FY23Q1FY24Q2FY24

Revenue($M)

Automotive

15%Y/Y

15%Q/Q

$253

$220

Q2FY23Q3FY23Q4FY23Q1FY24Q2FY24

$251

$296

$294

Revenue($M)

Highlights

?Solidy/ygrowthdrivenbyrampofself-drivingplatformsbasedonNVIDIADRIVEOrinSoCwithseveralnewenergyvehiclemakers

?Sequentialdeclinereflectsloweroverallautomotivedemand,particularlyinChina

?AnnouncedthatNVIDIADRIVEOrinispoweringthenewXPENGG6CoupeSUV’sintelligentadvanceddriverassistancesystem

?PartneredwithMediaTek,whichwilldevelopautomotiveSoCsandintegrateanewproductlineofNVIDIA'sGPUchiplets

Sources&UsesofCash

400%Y/Y

and

118%Q/Q

$6,348

$2,911

$2,249

$1,270

$392

Q2FY23Q3FY23Q4FY23Q1FY24Q2FY24

Highlights

?Y/YandQ/Qgrowthwerebothdrivenbyhigherrevenue

?Returned$3.4Btoshareholdersintheformofsharesrepurchasedandcashdividends

?Invested$300Mincapex(includesprincipalpaymentsonPP&E)

?Endedthequarterwith$16.0Bingrosscashand$9.8Bindebt;$6.2Binnetcash

?Additional$25Binstockrepurchasesauthorized,addingto$4BthatremainedasofendofQ2

CashFlowfromOperations($M)

Grosscashisdefinedascash/cashequivalents&marketablesecurities.

Debtisdefinedasprincipalvalueofdebt.

Netcashisdefinedasgrosscashlessdebt.

Q3FY24Outlook

Revenue

$16.0billion,plusorminus2%

ExpectsequentialgrowthtobedrivenlargelybyDataCenter,withGamingandProVizalsocontributing

GrossMargins

71.5%GAAPand72.5%non-GAAP,plusorminus50basispoints

OperatingExpense

Approximately$2.95billionGAAPand$2.00billionnon-GAAP

OtherIncome&Expense

Incomeofapproximately$100millionforGAAPandnon-GAAPExcludinggainsandlossesonnon-affiliatedinvestments

TaxRate

14.5%GAAPandnon-GAAP,plusorminus1%,excludingdiscreteitems

RefertoAppendixforreconciliationofNon-GAAPmeasures.

KeyAnnouncements

ThisQuarter

NVIDIAGraceHopper

SuperchipsNowAvailable

.GH200GraceHopperSuperchipcombinesourfirst

Arm-basedGraceCPUwithanH100GPU

.UsingNVIDIANVLink-C2Cinterconnectat900GB/s

(7XfasterthanPCIeGen5),itdeliversaCPU+GPU

coherentaccesstoover600GBofmemory

.IdealforgiantAIandHPCapplicationslikeGenAI,

deeprecommenders,andvectordatabases

.GH200deliversorder-of-magnitudespeed-ups

comparedtox86CPUs

.9Xforvectordatabases

.12Xfordeeprecommenderinference

.284XforLLM(65Bparameter)inference

.Availablenowfromleadingservermanufacturers

.NVIDIAandSoftBankarecollaboratingonaplatform

basedonGH200forGenAIand5G/6G

DGXGH200AISupercomputerExtendstheFrontierofLLMs

.DGXGH200isanewclassoflarge-memoryAI

supercomputerpoweredby256NVIDIAGH200Grace

HopperSuperchipsandtheNVIDIANVLinkSwitchSystem,withmassive,sharedmemoryspace

.1exaflopofperformanceand144TBofsharedmemory

forgiantnext-genGenAIlanguagemodels,recommendersystemsanddataanalyticsworkloads

.TheNVIDIANVLinkSwitchSystemenablesall256GPUsinaDGXGH200toworktogetherasone

.GoogleCloud,MetaandMicrosoftareamongthefirst

togainaccesstotheDGXGH200

.DGXGH200supercomputersareexpectedtobeavailablebytheendofcalendar2023

NVIDIAGraceHopper

Next-GenPlatformwithHBM3e

.Announcedthenext-genNVIDIAGH200GraceHopper

platformwithHBM3ememory

.BasedontwoGraceHopperSuperchipsconnected

byNVIDIANVLinkinterconnecttechnology

.Thenewplatformcomprisesasingleserverwith144Arm

Neoversecores,eightpetaflopsofAIperformanceand

282gigabytesofHBM3ememory

.Deliversupto3.5Xmorememorycapacityand3Xmore

bandwidththanitspredecessor

.BuiltforthemostcomplexGenAIworkloads,LLMs,

recommendersystemsandvectordatabases

.Serversfromleadingmanufacturersusingthenext

generationGraceHopperplatformwithHBM3eare

expectedtobeavailableinQ2ofcalendar2024

NewNVIDIAL40SGPUforGenAIandIndustrialDigitalization

.NVIDIAL40Sisauniversaldatacenterprocessordesignedtoacceleratethemostcompute-intensiveapplications,

including

.AItrainingandinference

.3Ddesignandvisualization

.videoprocessing

.industrialdigitalization

.Availablefromleadingservermakersinabroadrangeof

platforms,includingNVIDIAOVXandNVIDIAAI-ready

serverswithNVIDIABlueFieldDPUs,beginningthisquarter

MGXServerReferenceDesignforAcceleratedComputing

.NVIDIAMGXserverreferencedesignisascalable

andopenacceleratedcomputingserverarchitecture

.Helpssystemmanufacturersquicklyandcost-effectively

buildmorethan100servervariationstoaddressdiverse

AI,HPCandOmniverseapplications

.Slashesdevelopmentcostsbyuptothree-quartersand

reducesdevelopmenttimebytwo-thirdstojustsix

months

.ExtendsNVIDIAacceleratedcomputingintovirtually

everyserversegmentofthe$1Tinstalledbaseofdata

centerinfrastructure

.WillbeadoptedbyASRockRack,ASUS,GIGABYTE,

Pegatron,QCTandSupermicro

Spectrum-XEnd-to-EndEthernetPlatform

?NVIDIASpectrum-Xisanend-to-endnetworkingplatformdesignedtooptimizetheperformanceandefficiency

ofEthernet-basedAIclouds

?CombinesNVIDIASpectrum-4switch,withNVIDIA

BlueField-3DPU,NVIDIALinkX,andNVIDIAsoftware

?Theworld’sfirstEthernetswitchplatformforAI

?NVIDIADOCAforBlueFieldDPUprogrammability

?Spectrum-Xachieves1.7XbetterAIperformanceandpowerefficiencyvs.traditionalEthernet

?Shippingthisquarter

NVIDIAAIAnnouncementsto

HelpAcceleratetheAdoption

ofCustomGenAIbyEnterprises

.NVIDIAAIWorkbench–aunified,easy-to-useworkspacethatallowsdeveloperstoquicklycreate,testand

customizepretrainedGenAImodelsonaPCor

workstation-thenscalethemtovirtuallyanydatacenter,publiccloudorNVIDIADGXCloud

.NVIDIAAIEnterprise4.0–thelatestversionofour

enterprisesoftwareplatformnowincludessupportfor

NVIDIANeMo,ourcloud-nativeframeworkforcreating

andcustomizingLLMapplications,providingafoundationforproduction-readyGenAIforcustomers

.NVIDIADGXCloudIntegrationinHuggingFace–

partnershiptogivedevelopersone-clickaccesstoNVIDIADGXCloudAIsupercomputingwithintheHuggingFace

platformtotrainandtuneadvancedAImodels

VMwareandNVIDIAUnlockGenerativeAIforEnterprises

.AnnouncedamajornewenterpriseofferingcalledVMware

PrivateAIFoundationwithNVIDIA

.VMwarePrivateAIFoundationisafullyintegratedplatform

featuringNVIDIAAIsoftwareandacceleratedcomputing

withmulti-cloudsoftwareforenterprisesrunningVMware

.Givesenterprisesaccesstoinfrastructure,AIandcloud

managementsoftwareneededtocustomizemodelsand

runGenAIappssuchasintelligentchatbots,assistants,

searchandsummarization

.NVIDIAAIEnterprise-readyserversarefullyoptimizedfor

VMwareCloudFoundationandPrivateAIFoundation

.Nearly100configurationswillsoonbeavailablefromDell,

HPE,andLenovo

SnowflakeandNVIDIATeamto

HelpBusinessesHarnessTheir

DataforGenAIintheDataCloud

.PartnershipwithSnowflaketoprovidebusinesseswithan

acceleratedpathtocreatecustomizedGenAIapplications

usingtheirownproprietarydata,allsecurelywithinthe

SnowflakeDataCloud

.WiththeNVIDIANeMoplatformfordevelopingLLMsand

NVIDIAGPU-acceleratedcomputing,Snowflakewillenable

enterprisestomakecustomLLMsforadvancedGenAI

services,includingchatbots,searchandsummarization

WPPPartnersWithNVIDIAtoBuildGenAI-EnabledContentEngineforDigitalAdvertising

?NVIDIAandWPParedevelopingacontentenginethat

harnessesNVIDIAOmniverseandAItoenablecreative

teamstoproducehigh-qualitycommercialcontentfaster,moreefficientlyandatscale

?Theengineconnectsanecosystemof3Ddesign,manufacturingandcreativesupplychaintools

?ThisincludesAdobeFirefly,afamilyofcreativeGenAI

models,andexclusivevisualcontentfromGettyImagescreatedusingNVIDIAPicasso,afoundryforcustom

GenAImodelsforvisualdesign

?SoonavailableexclusivelytoWPP’sclientsaroundtheworld

NewNVIDIARTXAdaGPUstoPowerWorkstationsforGenAIandLLM,

ContentCreation,DataScience

.Globalsystemsbuilders,includingBOXX,Dell

Technologies,HPandLenovo,announcedpowerful

newworkstationsbasedonNVIDIARTX6000

.UptofourGPUsinasingledesktopworkstation

.Upto5,828TFLOPSofAIperformanceand192GB

ofGPUmemory

.CanbeconfiguredwithNVIDIAAIEnterprise

orOmniverseEnterprise

.ThreenewdesktopworkstationAdaGPUs—NVIDIARTX5000,4500and4000

.Upto2XtheRTcorethroughputandupto2XfasterAI

trainingperformanceversuspriorgen

.NVIDIARTX5000GPUavailablenow;NVIDIARTX6000,4500and4000GPUsavailableinthefall

NVIDIA,Pixar,Adobe,AppleandAutodeskCo-Foundedthe

AllianceforOpenUSD(AOUSD)

?AOUSDwasformedtopromotethestandardization,development,evolution,andgrowthofPixar’s

UniversalSceneDescriptiontechnology

?Standardizethe3DecosystembyadvancingthecapabilitiesofOpenUniversalSceneDescription(OpenUSD)

?Enabledevelopersandcontentcreatorstodescribe,compose,andsimulatelarge-scale3Dprojectsandbuild3D-enabledproductsandserviceswithgreaterinteroperabilityof3Dtoolsanddata

?NVIDIAOmniverseisbuiltonOpenUSD

NewNVIDIAGenerativeAIOmniverseCloudAPIs

?EnabledeveloperstomoreseamlesslyimplementanddeployOpenUSDpipelinesandapplications

?ChatUSD–LLMcopilotforUSDdevelopersthatcananswerUSDknowledgequestionsorgeneratePython-USDcode

scripts

?RunUSD–translatesOpenUSDfilesintofullypath-tracedrenderedimagesandgeneratesrenderswithOmniverseCloud

?DeepSearch–LLMagentenablingfastsemanticsearchthroughmassivedatabasesofuntaggedassets

?USD-GDNPublisher–one-clickserviceforpublishing

andstreaminghigh-fidelity,OpenUSD-basedexperiencesthroughNVIDIA’sGraphicsDeliveryNetwork

MediaTekPartnersWithNVIDIAtoTransformAutomobilesWithAIandAcceleratedComputing

?MediaTekwilldevelopmainstreamautomotiveSoCsfor

globalOEMsthatintegratenewNVIDIAGPUchipletIPforAlandgraphics

?ThecombinationofMediaTek’sSoCwithNVIDIA’sGPUandAIsoftwarewillenablenewexperiences,enhancedsafetyandnewconnectedservices

?Thechipletsareconnectedbyanultra-fastandcoherentchipletinterconnecttechnology

?MediaTekwillruntheNVIDIADRIVEOS,DRIVEIX,CUDAandTensorRTsoftwareonthesenewSoCs

?Thepartnershipcoversawiderangeofvehiclesegments,fromluxurytoentry-level

NVIDIAOverview

NVIDIApioneeredacceleratedcomputingtohelpsolveimpactful

challengesclassicalcomputerscannot.Aquarterofacenturyinthemaking,NVIDIAacceleratedcomputingisbroadlyrecognizedasthewaytoadvancecomputingasMoore’slawendsandAIliftsoff.

NVIDIA’splatformisinstalledinseveralhundredmillioncomputers,

isavailableineverycloudandfromeveryservermaker,powers74%

oftheTOP500supercomputers,andboastsover4milliondevelopers.

Headquarters:SantaClara,CA

Amdahl’slaw:

Theoverallsystemspeed-up(S)gainedbyoptimizinga

singlepartofasystembyafactor(s)islimitedbythe

proportionofexecutiontimeofthatpart(p).

1

1?p+

S=

Forexample:

?If90%oftheruntimecanbeacceleratedby100X,theapplicationisspedup9X

?If99%oftheruntimecanbeacceleratedby100X,theapplicationisspedup50X

?If80%oftheruntimecanbeacceleratedby500X,oreven1000X,theapplicationisspedup5X

WhatIsAcceleratedComputing?

Afull-stackapproach:silicon,systems,software

Notjustasuperfastchip-acceleratedcomputingisafull-stackcombinationof:

?Chip(s)withspecializedprocessors

?Algorithmsinaccelerationlibraries

?Domainexpertstorefactorapplications

Tospeed-upcompute-intensivepartsofanapplication.

TrillionsofOperationsperSecond(TOPS)

GPU-Computingperf2Xperyear

.

.

.

.

1000X

In10years

109

108

107

106

105

●1.1Xperyear

1.5Xperfperyear

104

103

102

Single-threadedCPUperf

198019902000201020202030

WhyAcceleratedComputing?

Advancingcomputinginthepost-Moore’sLawera

Acceleratedcomputingisneededtotacklethemostimpactfulopportunitiesofourtime—likeAI,climatesimulation,drugdiscovery,raytracing,androbotics.

NVIDIAisuniquelydedicatedtoacceleratedcomputing

—workingtop-to-bottom—refactoringapplicationsandcreatingnewalgorithms,andbottom-to-top—inventingnewspecializedprocessors,likeRTCoreandTensorCore.

“It’stheendofMoore’sLawasweknowit.”

-JohnHennessyOct23,2018

“Moore’sLawisdead.”

-JensenHuang,GTC2013

ACCELERATIONLIBRARIES

CLOUD-TO-EDGE

DATACENTER-TO-ROBOTICSYSTEMS

3-CHIPS

NVIDIA’sAcceleratedComputingPlatform

Full-stackinnovationacrosssilicon,systemsandsoftware

AIAPPLICATIONFRAMEWORK

NVIDIAHPC

PLATFORMS

NVIDIAAI

NVIDIAOmniverse

cuNumeric

CV-CUDA

cuQuantum

Parabricks

Sionna

Jetpack

RAPIDS

Spark

cuDNN

cuGraph

TensorRT

Triton

Deepstream

Flare

DOCA

MagIO

Aerial

RTX

HGX

EGX

DGX

OVX

Super

POD

AGX

IGX

GPU

CPU

DPU

Withnearlythreedecadesofasingular

focus,NVIDIAisexpertataccelerating

softwareandscalingcomputebya

Million-X,goingwellbeyondMoore’slaw.

Acceleratedcomputingisafull-stack

challenge,demandingdeepunderstandingoftheproblemdomain,optimizingacross

everylayerofcomputing,andallthreechips—GPU,CPU,andDPU.

Scalingacrossmulti-GPUsandmulti-nodesisadatacenter-scalechallengeandrequirestreatingthenetworkandstorageaspartofthecomputingfabric.

OurplatformextendsfromPCsto

supercomputingcenters,enterprisedatacenters,cloudandedgeenvironments.

Developers

4M

1.8M

2020

2023

AIStartups

14K

6K

2020

2023

NVIDIA’sExpandingAcceleratedComputingEcosystem

300Libraries

400AIModels

100UpdatedintheLastYear

CUDADownloads*

40M

20M

2020

*Cumulative

2023

GPU-AcceleratedApplications

3,000

700

2023

2020

NVIDIAisvaluedbyeverystakeholderintheecosystem:

?Fordevelopers–NVIDIA’soneArchitectureandlargeinstalledbasegivedeveloper’ssoftwarethebest

performanceandgreatestreach

?ForcomputermakersandCSPs–NVIDIA’srichsuiteofAccelerationPlatformsletspartnersbuildone

offeringtoaddresslargemarketsincludingmedia

&entertainment,healthcare,transportation,energy,financialservices,manufacturing,retail,andmore

?Forcustomers–NVIDIAisofferedbyvirtuallyeverycomput