WELCOME [s22.q4cdn ]

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2018WELCOMESimona Jankowski, March 27, 2018

SAFE HARBORForward-Looking StatementsExcept for the historical information contained herein, certain matters in this presentation including, but not limited to, statements as to: our growth and growthdrivers; our market opportunities and TAM; the benefits, impact, and performance of: cinematic games, autonomous vehicles, AI, and our products, technologies,services, and programs; every vehicle being autonomous; the challenges to production of AI cars; our production roadmap and schedules; eSports, social, and thegrowth of gaming; projected three-year datacenter operating expenses; projected exaflops growth; our intended fiscal 2019 capital return; our strategies; markettrends; future financial results, estimates and forecasts; and other predictions and estimates are forward-looking statements within the meaning of the PrivateSecurities Litigation Reform Act of 1995. These forward-looking statements and any other forward-looking statements that go beyond historical facts that are madein this presentation are subject to risks and uncertainties that may cause actual results to differ materially. Important factors that could cause actual results todiffer materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact oftechnological development and competition; development of new products and technologies or enhancements to our existing products and technologies; marketacceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences and demands; changes inindustry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems and other factors. For a completediscussion of factors that could materially affect our financial results and operations, please refer to the reports we file from time to time with the SEC, includingour Form 10-K for the fiscal period ended January 28, 2018. Copies of reports we file with the SEC are posted on our website and are available from NVIDIA withoutcharge. These forward-looking statements are not guarantees of future performance and speak only as of March 27, 2018, based on information currently availableto us. Except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.Financial MeasuresThis presentation contains historical revenue amounts for certain of our market platforms and businesses which provides investors with additional information tosupplement the segment reporting information contained in our Form 10-K for the fiscal year ended January 28, 2018. In addition to U.S. GAAP financials, thispresentation includes certain non-GAAP financial measures. These non-GAAP financial measures are in addition to, and not a substitute for or superior to, measuresof financial performance prepared in accordance with U.S. GAAP. See our website for a reconciliation between each non-GAAP measure and the most comparableGAAP measure. Where we present non-GAAP financial measures, including non-GAAP gross margin, non-GAAP gross margin without IP, non-GAAP operating expense,non-GAAP operating income, non-GAAP operating margin, non-GAAP EPS, and free cash flow we generally exclude stock-based compensation, legal settlement,acquisition-related items, restructuring and other charges, product warranty charge, the associated tax impact, provisional tax benefit from tax reform, and otherexpense, where applicable.2018

AGENDARise of GPU ComputingJensen HuangDatacenterShanker TrivediAutomotiveRob CsongorGamingJeff FisherFinancialsColette KressQ&AAllQuestions? Please email NVIDIAInvestorRelations@nvidia.com2018

2018NVIDIAJensen Huang, CEO

THE MOST EXCITING TIME IN TECH HISTORYGAMINGDATACENTERPRO VIZAUTONOMOUS VEHICLESNVIDIA GPU2018

2018DATACENTERShanker Trivedi, March 27, 2018

2018: A GREAT YEARDATACENTER REVENUE MHIGHLIGHTS 1,932MVolta chosen by all major server OEM/ODMs and allmajor public clouds2,000 customers adopt NVIDIA inference platform133%86 of Top 500 Supercomputers NVIDIA TeslaAccelerated 830MTop 15 HPC Apps Accelerated; 550 acceleratedapps145% 339MCUDA developers up 75% YoY to 770KFY 2016FY 2017FY 2018Source: NVIDIA2018

BIG GROWTH OPPORTUNITY 50B Total Addressable Market (TAM)HIGH PERFORMANCECOMPUTINGHYPERSCALE & CONSUMERINTERNETCLOUD COMPUTING& INDUSTRIES 10B 20B 20BSource: NVIDIA2018

NVIDIA DATACENTER STRATEGYDEVELOPERSTOP 15 HPCAI FRAMEWORKSNVIDIA PLATFORMDATA ANALYTICSAMBERH20ANSYSKineticaANSYS penFOAMEVERY MAJOR CLOUDEVERY MAJOR COMPUTER MAKERDEVELOPERSMapDMatLabAPPS & FRAMEWORKSENTERPRISEAdobeVERTICAL SOLUTIONSANSYSDassaultSOFTWAREGEQuantum EspressoIBMSimula AbaqusSAPVASPSASWRFSchlumbergerTESLA, DGXGPU & CUDAUSERSSource: NVIDIA2018

DATACENTER PLATFORMAPPLICATIONSHPCFRAMEWORKSENTERPRISEDATA ANALYTICSVISUALIZATIONNVIDIA GPU CLOUDINDUSTRY VERTICAL SOLUTIONSDRIVE:AUTONOMOUS VEHICLESNVIDIA AIMETROPOLIS:SMART CITIESCLARA:HEALTHCARESOFTWARE, SDKS, ENGINES, LIBRARIES, OSDEEP LEARNINGcuDNNTensorRTDeepStreamHIGH PERFORMANCE COMPUTINGcuBLAScuSPARSEcuFFTDATA CENTER MGMTOpenACCTESLAvGPUDCGMKONG*DGXCUDA & GPU COMPUTING ARCHITECTURE*Kubernetes on NVIDIA GPUs2018

DEVELOPER ECOSYSTEMHIGH PERFORMANCECOMPUTINGHYPERSCALE &CONSUMER INTERNETAccelerated Computing DevelopersTraining – cuDNN (Downloads)75%350K200%840K200KFY18GPU Ready Apps (Units)37%FY1740070FY17FY18Mainstream AdoptionFY18Inferencing – TRT (Downloads)550 FY17Inception Startups (Companies)133%2,8001,200280KFY17CLOUD COMPUTING &INDUSTRIES 30KFY17FY18Enterprise DGX Customers340%550125FY18AI LeadershipFY17FY18Rapid GrowthSource: NVIDIA2018

GPU ACCELERATED DATACENTER VALUEThe More You Buy, the More You SaveWORKLOADBASELINEHPCAI TRAININGAI INFERENCECPU-Only(Amber, LAMMPS,NAMD, VASP)(Caffe2, TensorFlow,MXNet)1X20X 100X60XServers5,000250 5084Capex 45M 11M 7.5M 7M 19.5M 2.5M 1M 1.5MN/A79%86%86%Speed Up3 Year Opex(Power Cooling)TCO Savings(Image, Speech,Translation)Source: NVIDIANote(s): CPU Baselined to 5000 Servers for each workload Capex Costs: CPU node with 2x Skylake CPU’s 9K; GPU node with 4x V100 GPU’s 45K Opex Costs: Power & cooling is 180/kW/month Power: CPU server n/w 0.6 KW; GPU server n/w 1.6 KW; DGX-1V/HGX-1 Server 3.2KW HPC: GPU node with 4xV100 compared to 2xCPU Server DL Training: DGX-1V compared to a 2xCPU server DL Inference: HGX-1 based server (8xV100) Compared to 2x CPU Server numbersrounded to nearest 0.5M2018

HIGH PERFORMANCE COMPUTINGTo Exascale, and Beyond 10B TAMTop 500LEADERSHIPRest of HPC102 Top 500 Systems accelerated,86 NVIDIA systems3025Public sector investment in AIand exascale20EXAPLOPSMILESTONESTop 15 apps, 70% of top 50 HPCapps accelerated; total 55015102,328 scientific computing papersciting GPUs compared to 1,276 inFY175020172023Source: NVIDIA, arXiv, PubMed2018

HYPERSCALE & CONSUMER INTERNETAI Powers Consumer Apps 20B TAMAPPLICATIONSTrainingRECOMMENDATION ENGINELEADERSHIPEXAFLOPSCREDIT SCORINGFRAUD DETECTION2017AD INSERTION2023AI E2023Source: NVIDIA2018

HYPERSCALE & CONSUMER INTERNETGPUs Best for Deep Learning TrainingIncreasing Complexity of DNNsTop 10 Hyperscale/Consumer InternetExaFLOPS2102015FY 162016FY172017FY 18Source: NVIDIA2018

HYPERSCALE & CONSUMER INTERNETAI inferenceopportunityHyperscaleServersAI Inferencingis –a30MLargeOpportunity:30M Hyperscale ServersTensorRT 4TensorFlowIntegrationTensorRT 3Tensor CoreTensorRT 2INT8TensorRTCNNsSep ‘16190XIMAGE - CNNResNet-50 with TensorFlowIntegrationSource: NVIDIAKaldiOptimizationApril ‘1650XNLP - RNNGNMTONNXWinMLSep ‘1745XRECOMMENDER - MLPNeural Collaborative FilteringApril ‘1836XSPEECH SYNTH - DGNWaveNet60XSPEECH RECOG – RNN Deep Speech 2 DNN2018

CLOUD COMPUTING & INDUSTRIESAI Transforming Every Industry 20B TAMLEADERSHIPMILESTONESIndustry BreakdownStartupsHealthcareTransportationFuture IndustriesManufacturingPublic SectorVolta chosen by all majorpublic clouds 5B in funding for 2,800 NVIDIAInception StartupsTop segments include: Healthcare,Transportation, AI CityOver 2,000 companies using NVIDIAGPU Cloud (NGC)Oil & GasSource: NVIDIA2018

AI REVOLUTIONIZING MEDICAL IMAGING 100B Market: 35B Instruments, 5B Imaging Software60%RESEARCHSTARTUPSMedical Imaging Papers Using DeepLearningHealthcare AI Financing History50% 8006050 60040%4030 40030%20%20 20010%0%COMPANIES20142015SPIEISBI2016MICCAI2017 -10H1 2012Disclosed Funding ( M)H1 2017Deals300 NVIDIA InceptionMembersFDA approved AI for Medical ImagingDedicated supercomputer for AI PathologySource: NVIDIA, CB Insights2018

AV DATACENTER OPPORTUNITYData FactoryTraining on DGX3D-SIM on DRIVECONSTELLATIONDRIVE AV on DPXRE-SIM on DGX1 petabyte percar per year10 DNNs, 1 million imagesper DNN10B miles toensure safe drivingSelf driving carsby 202016 petaFLOPs forevery paved roadin the US in 1 daySources: NVIDIA, RAND Corporation2018

DATA CENTER SUMMARY 50B TAMCompelling platformstrategyLeadership in HPC and deeplearning trainingLarge AI inferenceopportunityIncreasing enterpriseadoptionHIGH PERFORMANCECOMPUTINGHYPERSCALE &CONSUMER INTERNETCLOUD COMPUTING& INDUSTRIES 10B 20B 20BGrowing developerecosystemExtensibleflexible architectureSource: NVIDIA2018

2018AUTOMOTIVERob Csongor March 27, 2018

AUTOMOTIVE GROWTHREVENUEDRIVE PARTNERS700DPX2 7Q3100FY17Q2Millions400400600AI ENGAGEMENTS2018

AV REVOLUTIONIZING 10T INDUSTRYEvery Vehicle Will Be AutonomousDRIVINGMOBILITY SERVICESTRUCKING 2.4T MARKET 5.3T MARKET 2T MARKETAV will save lives, Ms in lost productivity(3000 lives/day, 0.5T/yr)AV will reduce parking footprint,lowering cost of ownershipAV will extend the range of truckers,help cover shortage of trucker.(10% decline from ELD, 500B loss dueto accidents)2018

AV IS A 60B OPPORTUNITYEvery Vehicle Will Be Autonomous120MvehiclesAV REVENUE 60B TAM(2035)10MRobotaxis 20B100MSDC 40BDevelopmentDRIVE SystemsL2 – L5ShipmentsDevelopment NRETraining, testing &validation systemsL5 — Robo-taxi L4 — Full AV L3 — Partial AV L2 — Human backup20182019202020352021Source: ABI Research2018

THE CHALLENGE AUTOMAKERS FACEPROCESSING REQSUp to 100s of TOPs,10s of TFLOPs,1000s of KDMIPsPOWER, COSTTESTING, VALIDATIONUp to 1000s of Watts,10000s of Up to 100s of billions of driving miles,100s of years2018

NVIDIA GAME CHANGERSKey StrategiesAIXAVIER PROCESSORThe Computing Modelfor AVOne ArchitectureFrom L2 to L5NVIDIA DRIVEEND-TO-END SYSTEMCollect DataTrain ModelsSimulateDriveOPEN PLATFORM370 PartnerEcosystem2018

ONE SCALABLE ARCHITECTUREL2 throughL5ARCHITECTUREDriving SolutionsONE SWORINDRIVE ParkerDRIVE PX 2DRIVE XavierDRIVE PegasusDRIVE Orin1x Perf20x Perf20x Perf200x Perf200x Perf1 Chip4 chips1 chip4 chips2 chipsSamples: NowSamples: NowSamples: NowSamples: Q3’2018Production: NowProduction: NowProduction: Q1’2019Production: Q3’20192018

DRIVE AV ON XAVIER2018

TODAY’S ADASFour Separate ameraNCAP ingECUFrontRadarDriving Monitor adarL2 ECUSideSurroundCamera2018

DRIVE XAVIER VALUEOne Computer — One SW, Lower NCAP ForwardCameraDrivingMonitorCameraOne AI AVComputerSideRadarSideSurroundCamera2018

ROBO—TAXI DRIVE VALUE2018

ROBO—TAXI DRIVE VALUE2018

ROBO—TAXI DRIVE VALUEL5 ROBO-TAXI USE CASE2x PCs in the Trunk2x DRIVE er3 kw1/3rd pwrSize1x1/10th sizeCost1x1/5th cost2018

END-TO-END SYSTEMFrom Training to Testing to DrivingData FactoryTraining on DGX3D-SIM on DRIVECONSTELLATIONDRIVE AV on DPXRE-SIM on DGX1 petabyte percar per year10 DNNs, 1 million imagesper DNN10B miles toensure safe drivingSelf driving carsby 202016 petaFLOPs forevery paved roadin the US in 1 daySources: NVIDIA, RAND Corporation2018

ANNOUNCINGNVIDIA DRIVE SIMAND CONSTELLATIONAV VALIDATION SYSTEMVirtual Reality AV SimulatorSame Architecture as DRIVE ComputerHIL and PIL SupportSimulate Rare and Difficult Conditions, Recreate Scenarios,Run Regression Tests, Drive Billions of Virtual Miles10,000 DRIVE Constellations Drive 3B Miles per Year35

DRIVE SIMSIMULATING VS DRIVING THE WORLD — VALUE PROPOSITIONPer the Rand Corporation report, to drive ten billion miles Would require 50,000 drivers, 10 billion dollar cost over 3 yearsThe same task using DRIVE Constellations would take 7 months, at a fraction of the cost.2018

CARSTHE POWER OFAN OPENPLATFORM370 PARTNERSDEVELOPING ONNVIDIA STARTUPSRESEARCH2018

KEY ANNOUNCEMENTSProgress This YearXAVIER IS HEREDRIVE PEGASUSVW AIBAIDU APOLLOAUDI DEPLOYS ZFASMERCEDES-BENZ AIDRIVE SIMDRIVE AVVOLVO / AUTOLIVAURORACONTINENTALDEUTSCHE POST DHLDRIVE IXDRIVE ARZF / CHERYUBERTUSIMPLEPACCARPRODUCTSPARTNERS2018

Every vehicle will be autonomous — 60Bopportunity 0.5B business transitioning to AV – rategies— systems, NRE,simulating/testing/trainingsystemsAI, Xavier,End to End System,Open Platform — are game changersEveryvehicle will be autonomous - 60B TAMfor carmakersopportunity by 2035.Testing & validation for AV — NVIDIA’s DRIVEKey Strategies- AI, Xavier,—end to endAnnouncingConstellationsystem, openplatformgame changerAI Validationin theDataareCenterstrategies for NVIDIA.The world is building on NVIDIA’s open Momentplatform— 370 partners and growing201839

2018GAMINGJeff Fisher, March 27, 2018

GAMING HAD AGREAT YEARPascal:1080Ti/1070Ti/Titan XpMax-Q Gaming NotebooksTOTAL GAMING M 6,000 5,00036% YOY 4,000 3,000Nintendo Switch Powered by NVSurpassed 100M GFE ClientsGFN Beta LaunchedCrypto Came to Town 2,000 1,000 0FY17FY182018

GAMING IS A HUGE MARKET AND GROWINGWW GAME REVENUE2500GAMERS FOR LIFEWW GAMERS 100B2,000M2000 80B1,500M15003X 60BGamersGame Revenue3X20031,000M1000Emerging 40B2017M500500M 20B BSource: DFC0200720172007Source: DFC (2007), NewZoo (2017)2017Less Than 35 Yrs OldSource: ESAOver 35 Yrs Old2018

PC IS WHERE THE ACTION ISOPEN PLATFORMRECORD BREAKING SALESGames Released on Steam Each Yr50%40%30%20%60004000200010%0%Source: Steam, Twitchstats, SteamSpy, BlueHole800060%Game Developers Surveyed on Games in DevelopmentMOST WATCHED.EVER1000s of GAMESDEVELOPERS CHOOSE PCPCSource: GDC Annual Survey 2018PhoneConsole020132015Source: Statista, SteamSpy, GameStop2017PS42018

GEFORCE: WORLD’S LARGESTGAMING PLATFORMGAMING GPU REVENUE M 5B5Yr CAGRREV29%ASP11%INSTALLED BASELEADERSHIPSteam Gamers21% YOY 4B30% 3BUNITSVR 2BEND MARKET 1B70%Developed 27% BFY17Source: NVIDIA15%PascalEmerging 40%FY18Source: NVIDIAOtherGeForceSource: NVIDIASource: Steam, OculusOther2018

ESPORTS MOMENTUM FUELS GAMINGESPORTS AUDIENCEPRIZE MONEY40M400MeSports Viewers250M200M150M100M50M-2018 70% 80M20M10MM5/16 60M8/1610/161/174/1710/17100M 40M 20M M2016WW Gamers300M 100M30MWW Gamers 100MTotal eSports Tournament Prize Money350M 120M2015201775M50M25MM86% OF ESPORTS GAMERS PLAY ON GEFORCESource: NewZoo, esportsearnings.com, NewZoo discrete GPU share of eSports gamers20112012Source: Statista, Blizzard & Riot Games201420172018

SOCIAL EXPANDS GAMING REACHGAMES WANT TO 0MJan 16Jan 18CNN0Total GamersPlaying 20%2015201670% OF GAMERS PLAY GAMES TO BE SOCIALSource: Twitchtracker, Discord, NielsenGeForce Weekly GamersDiscord App User GrowthTwitch Concurrent Viewers0.0MMOST VIEWED,MOST SHARED GO VIRALGAMERS WANT TO CONNECT20174/177/1710/171/18“RISE OF PUBG AND FORTNITE IS GROWINGTHE GAMING COMMUNITY” - Goldman SachsSource: NVIDIA2018

GEFORCEEXPERIENCEGAMING PLATFORM100M Clients WWOver 1B In-Game Captures in 2017:800M Game VideosNVIDIA ANSELNVIDIA HIGHLIGHTS200M Game Highlights100M Game Photographs500M so far in 20182018

CINEMATICS KEEP PUSHING PLATFORMRAYTRACINGGAMERS BUY UPGAMES MORE DEMANDING 3005XConsole ASPNew Class of Ray Traced GamesMicrosoft DXRNVIDIA GPUNVIDIA GameWorksRay TracingNVIDIA RTX Technology4X 2503X 225 200*ASPGPU Perf Required for High Settings 2752XConsole Perf 200RTX4KVR1X0X 175 150GeForce ASP 160* 125201320152017Source: NVIDIA, Games @ 1080p, High Settings20192021FY15FY16* Est ASP of Graphics Card (based on Actual GPU ASP)FY17FY182018

Gaming is BIG and GrowingG-SYNCGeForce is Number OneGame PlatformGEFORCEEXPERIENCEGaming Growth Fueled by Esportsand SocialCinematic Gaming NeedsBigger GPUsAn Exciting FutureMAX-Q DESIGNGEFORCE GTXNVIDIA SHIELD2018

2018FINANCIALSColette Kress, March 27, 2018

RECORDSREVENUE 9.7BGROSS MARGIN100 BPS 4.9259.2%63% 6.9B61% 2.2BFY 2018EPS 3.6B60.2%41%FY 2017OPERATING INCOMEFY 2017FY 2018FY 2017Gross Margin, Operating Income and EPS are Non-GAAP measures. 3.06FY 2018FY 2017FY 20182018

MARKET PLATFORMSPRO VISUALIZATION3-YEAR CAGR 6%GAMING3-YEAR CAGR 40%1,00036%420 2.1 2.8FY 2015FY 2016 4.1FY 201712%800 5.5 Millions Billions6600400 795 750 835FY 2015FY 2016FY 20172000FY 20182,000600 Millions 1,9325000 317FY 2015 339FY 2016 830FY 2017FY 2018 Millions133%1,000FY 2018AUTO3-YEAR CAGR 45%DATACENTER3-YEAR CAGR 85%1,500 93415%4002000 487 183 320FY 2015FY 2016FY 2017 558FY 20182018

MARKET PLATFORMSDiversified and GrowingPRO VISUALIZATIONEMERGING APPLICATIONSGAMINGGFE USERS40%Millions11090100M90M20%705030%30%15%10%FY 2017FY 20180%DATACENTERHYPERSCALE “7” CUSTOMER REVENUEQ4 FY 2017AUTOMOTIVEDRIVE PARTNERS350320300 155% MillionsQ4 FY 2018250225200150FY 2017FY 2018100FY 2017FY 20182018

GROSS MARGIN EXPANSIONValue Added Platforms Expand MarginsGM% Excl IP7GM%Value Added PlatformsAll Other60.2%6Gross Profit, 2%FY 2015FY 2016FY 2017Gross Margin excluding IP and Gross Margin are Non-GAAP measures.FY 20182018

GROSS MARGINS BY PLATFORMSGross Profit, BillionsCompany GM%Gross ProfitGPUGamingAutoOEM &EmbeddedPro Vis60.2%0%DataCenter100%FY 2018 Gross Margin %Gross Margin is a Non-GAAP measure.2018

OPERATING EXPENSESYoY Investments Focused on Gaming, AI, and AutoOperating Expenses3.035% Billions2.034%Operating Expenses as a % of Revenue19%45% 2.2 1.935%27%1.00.023% 1.7 1.7FY 2015FY 2016FY 2017Operating Expenses and Operating Expenses as a % of Revenue are Non-GAAP measures.FY 201825%15%2018

INVESTMENT IN R&DCumulative 15B1.81.6R&D, Billions1.4R&D InvestmentCumulative R&D mulative R&D, Billions2.0

OUR LEVERAGED MODELENGINEERSBY PLATFORMFY 2013GamingAIAutoSoftware 40%FY 2018GPU Architecture 50%SoftwareHardwareFY 20182018

OPERATING MARGIN EXPANSIONOperating Income4.037%32% Billions3.02.0Operating Margin20%22%35% 3.6 2.21.0 1.045%25%15% 1.10.05%FY 2015FY 2016FY 2017Operating Income and Operating Margin are Non-GAAP measures.FY 20182018

CASH AND CASH FLOWCash Flow Increased 109%; Net Cash Increased 28%Cash as a % of Market Capitalization8 6.8 7.16 Billions 5.1420 3.510.4% 4.04.8% 1.7FY 2017FY 2018Cash FlowFY 2017FY 2018Net CashFY 2017FY 2018Total CashCash Flow Cash Flow from Operations; Net Cash Total Cash – Total Debt; FY 2017 Total Debt 2.8B; FY 2018 Total Debt 2.0B; Total Cash Cash, Cash Equivalents Marketable Securities2018

CAPITAL RETURNSince FY 2013: 5B , 70% FCFShare Repurchase1,600DividendIntended Return 1.25B Millions1,200 1.1B 1.0B 1.25B 1.0B 0.8B800400 147M0FY 2013FY 2014FY 2015FY 2016Free Cash Flow is a Non-GAAP measure.FY 2017FY 2018FY 20192018

USES OF CASHFY ilitiesSoftware licenseM&A and InvestmentsCapital ReturnDividends BillionsDatacenters1.5 2.21.0 1.250.50.0 0.6OPEXCAPEXM&AShare RepurchasesOPEX is a Non-GAAP measure.CAPITALRETURN2018

Q&A2018

SILICON VALLEY MARCH 26-29,2018www.gputechconf.com#GTC182018

RECONCILIATION OF NON-GAAP TO GAAPFINANCIAL MEASURES2018

RECONCILIATION OF NON-GAAP TO GAAPFINANCIAL MEASURESGROSSMARGIN( IN MILLIONS &MARGIN PERCENTAGE)FY 2015FY 2016FY 2017FY NTY(B)OTHER(C)GAAP(244) 2,611(12)—— 2,59953.6%(2.2)55.8%(0.3)——55.5% 2,602(244) 2,846(15)(20)— 2,81154.8%(2.0)56.8%(0.3)(0.4)—56.1% 3,844(244) 4,088(15)—(10) 4,06357.8%(1.4)59.2%(0.2)—(0.2)58.8% 5,821(23) 5,844(21)—(1) 5,82260.2%—60.2%(0.3)——59.9%NON-GAAPwithout IPIP 2,367A. Stock-based compensation charge was allocated to cost of goods sold.B. Consists of warranty charge associated with a product recall.C. Consists of legal settlement and other related costs.2018

RECONCILIATION OF NON-GAAP TO GAAPFINANCIAL MEASURES (CONTD.)OPERATING EXPENSES( IN MILLIONS & % OFREVENUE)FY 2015FY 2016FY 2017FY ELATED ITEMS(B)OTHER(C)GAAP 1,65714637— 1,84035%31—39% 1,72119022131 2,06434%4—341% 1,8672331613 2,12927%4——31% 2,227370132 2,61223%4——27%A. Stock-based compensation charge was allocated to research and development expense, and sales, general and administrative expense.B. Consists of amortization of acquisition-related intangible assets, transaction costs, compensation charges, and other credits related to acquisitions.C. Comprises of legal settlement costs, contributions, and restructuring and other charges.2018

RECONCILIATION OF NON-GAAP TO GAAPFINANCIAL MEASURES (CONTD.)OPERATING MARGIN( IN MILLIONS &MARGIN PERCENTAGE)FY 2015FY 2016FY 2017FY UCTWARRANTY(B)ACQUISITIONRELATED ITEMS(C)OTHER(D)GAAP 954(158)—(37)— 75920%(3)—(1)—16% 1,125(205)(20)(22)(131) 74722%(4)—(3)15% 2,221(248)—(16)(23) 1,93432%(4)———28% 3,617(391)—(13)(3) 3,21037%(4)———33%—Stock-based compensation charge was allocated to cost of goods sold, research and development expense, and sales, general and administrative expense.Consists of warranty charge associated with a product recall.Consists of amortization of acquisition-related intangible assets, transaction costs, compensation charges, and other credits related to acquisitions.Comprises of legal settlement costs, contributions, and restructuring and other charges.2018

RECONCILIATION OF NON-GAAP TO GAAPFINANCIAL MEASURES (CONTD.)( IN MILLIONS,EXCEPT SHARES & ELATED ITEMS(B)OTHER(C)TAX IMPACT OFADJUSTMENTSPROVISIONALTAX BENEFITFROM INCOMETAX REFORM 1,851(248)(16)(65)144— 1,666605——44——649 3.06————— 2.57 3,085(391)(13)(24)257133 3,047627——5——632 4.92————— 4.82GAAPFY 2017Net incomeShares used in dilutedper share calculationDiluted EPSFY 2018Net incomeShares used in dilutedper share calculationDiluted EPSA. Stock-based compensation charge was allocated to cost of goods sold, research and development expense, and sales, general and administrative expense.B. Consists of amortization of acquisition-related intangible assets, transaction costs, compensation charges, and other credits related to acquisitionsC. Other comprises of legal settlements, contributions, restructuring and other charges, gains from non-affiliated investments, interest expense related to amortization of debt discount and loss on early debtconversions. Other also comprises anti-dilution impact from note hedge that is excluded from GAAP weighted average diluted share calculation.2018

RECONCILIATION OF NON-GAAP TO GAAPFINANCIAL MEASURES (CONTD.)( IN MILLIONS)FY 2013 FY 2014 FY 2015 FY 2016 FY 2017 FY2018GAAP net cash flow provided byoperating activities 824 835 905 1,175 1,672 3,502Purchase of property and equipmentand intangible assets(183)(255)(122)(86)(176)(593)Free cash flow 641 580 783 1,089 1,496 2,9092018

2018. SAFE HARBOR. Forward-Looking Statements . Except for the historical information contained herein, certain matters in this presentation including, but not limited to, statements as to: our growth and growth