#1NVIDIA Investor Presentation October 2023#2Except for the historical information contained herein, certain matters in this presentation including, but not limited to, statements as to: our financial position; our markets, market opportunity, demand and growth drivers; the benefits, impact, performance, features and availability of our products and technologies; the benefits, impact, features and timing of our collaborations or partnerships; NVIDIA accelerated computing being broadly recognized as the way to advance computing as Moore's law ends; data centers making a platform shift from general purpose to accelerated computing; trillion dollars of installed global data center infrastructure transitioning to accelerated computing; Al driving a platform shift in computing and enabling new, never-before-possible applications; broader enterprises driving the next wave of computing, followed by autonomous machines and industrial digitalization; accelerated computing being needed to tackle the most impactful opportunities of our time; NVIDIA's value to every stakeholder in the ecosystem; the ROI of high compute performance; enterprise as the next big generative Al opportunity; NVIDIA's expanding accelerated computing ecosystem; Al as the greatest technology force of our time; data centers becoming Al factories; generative Al unlocking new opportunities; the next wave of Al being robotics and industrial digitalization; NVIDIA's acceleration stacks and ecosystems helping to bring Al to the world's largest industries; NVIDIA's Al expertise and scale helping to revolutionize businesses; generative Al being the most important computing platform of our generation; full-stack and data center scale acceleration driving significant cost savings and workload scaling; our dividend program plan; and our Automotive design win pipeline and ramp expectations are forward-looking statements. These forward-looking statements and any other forward-looking statements that go beyond historical facts that are made in this presentation are subject to risks and uncertainties that may cause actual results to differ materially. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences and demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems and other factors. NVIDIA has based these forward-looking statements largely on its current expectations and projections about future events and trends that it believes may affect its financial condition, results of operations, business strategy, short-term and long-term business operations and objectives, and financial needs. These forward-looking statements are subject to a number of risks and uncertainties, and you should not rely upon the forward-looking statements as predictions of future events. The future events and trends discussed in this presentation may not occur and actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. Although NVIDIA believes that the expectations reflected in the forward-looking statements are reasonable, the company cannot guarantee that future results, levels of activity, performance, achievements or events and circumstances reflected in the forward-looking statements will occur. Except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. For a complete discussion 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, including our most recent Annual Report on Form 10-K, Quarterly Reports on Form 10-Q, and Current Reports on Form 8-K. Copies of reports we file with the SEC are posted on our website and are available from NVIDIA without charge. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements within are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. NVIDIA uses certain non-GAAP measures in this presentation including non-GAAP gross profit, non-GAAP gross margin, non-GAAP operating income, non-GAAP operating margin, and free cash flow. NVIDIA believes the presentation of its non-GAAP financial measures enhances investors' overall understanding of the company's historical financial performance. The presentation of the company's non-GAAP financial measures is not meant to be considered in isolation or as a substitute for the company's financial results prepared in accordance with GAAP, and the company's non-GAAP measures may be different from non- GAAP measures used by other companies. Further information relevant to the interpretation of non-GAAP financial measures, and reconciliations of these non-GAAP financial measures to the most comparable GAAP measures, may be found in the slide titled "Reconciliation of Non-GAAP to GAAP Financial Measures".#3Headquarters: Santa Clara, CA NVIDIA pioneered accelerated computing to help solve impactful challenges classical computers cannot. A quarter of a century in the making, NVIDIA accelerated computing is broadly recognized as the way to advance computing as Moore's law ends and Al lifts off. NVIDIA's platform is installed in several hundred million computers, is available in every cloud and from every server maker, powers 74% of the TOP500 supercomputers, and boasts over 4 million developers. KBB ENDEAVOR#4AI APPLICATION FRAMEWORK VOICE NVIDIA's Accelerated Computing Platform Full-stack innovation across silicon, systems and software MODULUS ΜΟΝΑΙ RIVA MAXINE NEMO MERLIN CUOPT MORPHEUS ΤΟΚΚΙΟ AVATAR DRIVE ISAAC PLATFORMS NVIDIA HPC NVIDIA AI cuNumeric CV-CUDA cuQuantum Parabricks Sionna Jetpack ACCELERATION LIBRARIES RAPIDS cuDNN Spark cuGraph TensorRT Triton Deepstream Flare CLOUD-TO-EDGE DATACENTER-TO- ROBOTIC SYSTEMS 3-CHIPS DOCA Mag 10 Aerial RTX DGX HGX EGX OVX Super POD AGX GPU CPU DPU BUS VAN AN IGX NVIDIA Omniverse MOTORBIKE BUS PEDESTRI CYCLIST METROPOLIS HOLOSCAN With nearly three decades of a singular focus, NVIDIA is expert at accelerating software and scaling compute by a Million-X, going well beyond Moore's law. Accelerated computing requires full-stack innovation - optimizing across every layer of computing - from silicon and systems to software and algorithms, demanding deep. understanding of the problem domain. Our full-stack platforms - NVIDIA HPC, NVIDIA AI, and NVIDIA Omniverse - accelerate high performance computing, Al, and industrial digitalization workloads. We accelerate workloads at data center scale, across thousands of compute nodes, treating the network and storage as part of the computing fabric. Our platform extends from the cloud and enterprise data centers to supercomputing centers, edge computing and PCs. 4 NVIDIA.#5NVIDIA. 5 Why Accelerated Computing? Advancing computing in the post-Moore's Law era Accelerated computing is needed to tackle the most impactful opportunities of our time-like Al, climate simulation, drug discovery, ray tracing, and robotics. NVIDIA is uniquely dedicated to accelerated computing ―working top-to-bottom-refactoring applications and creating new algorithms, and bottom-to-top-inventing new specialized processors, like RT Core and Tensor Core. "It's the end of Moore's Law as we know it." - John Hennessy, Oct 2018 "Moore's Law is dead." - Jensen Huang, GTC 2013 Trillions of Operations per Second (TOPS) 109 108 107 106 105 104 103 102 Single-threaded CPU perf 1980 1990 GPU-Computing perf 2X per year 1000X In 10 years 1.5X perf per year 1.1X per year 2000 2010 2020 2030#6Waves of Adoption of Accelerated Computing A generational computing platform shift Enterprise Cloud Service Providers & Consumer Internet Industrial Digitalization Autonomous Vehicles & Robotics A new computing era has begun. Accelerated computing enabled the rise of Al, which is driving a platform shift from general purpose to accelerated computing, and enabling new, never-before-possible applications. The trillion dollars of installed global data center infrastructure will transition to accelerated computing to achieve an order of magnitude better performance, energy-efficiency and cost. Hyperscale cloud service providers and consumer internet companies have been the early adopters of Al and accelerated computing, with broader enterprise adoption now under way. Al and accelerated computing will also make possible the next big waves - autonomous machines and industrial digitalization. 00 6 NVIDIA.#7NVIDIA Accelerated Computing for Every Wave Enterprise Cloud Service Providers & Consumer Internet Industrial Digitalization Autonomous Vehicles & Robotics NVIDIA Omniverse is a software platform for designing, building, and operating 3D and virtual world simulations. It harnesses the power of NVIDIA graphics and Al technologies and runs on NVIDIA-powered data centers and workstations. NVIDIA DRIVE is a full-stack platform for autonomous vehicles (AV) that includes hardware for in-car compute, such as the Orin system-on-chip, and the full AV and Al cockpit software stack. NVIDIA DGX Cloud is a cloud service that allows enterprises immediate access to the infrastructure and software needed to train advanced models for generative Al and other groundbreaking applications. NVIDIA AI Enterprise is the operating system of Al, with enterprise-grade security, stability, manageability and support. It is available on all major CSPs and server OEMs and supports enterprise deployment of Al in production. NVIDIA HGX is an Al supercomputing platform purpose-built for Al. It includes 8 NVIDIA GPUs, as well as interconnect and networking technologies, delivering order-of-magnitude performance speed-ups for Al over CPU servers. It is broadly available from all major server OEMs/ODMs. NVIDIA DGX, an Al server based on the same architecture, along with NVIDIA AI software and support, is also available. 7 NVIDIA.#8NVIDIA's Accelerated Computing Ecosystem Developers CUDA Downloads* 4M 45M 20M 1.8M The NVIDIA accelerated computing platform has attracted the largest ecosystem of developers, supporting a rapidly growing universe of applications and industry innovation. Developers can engage with NVIDIA through CUDA - our parallel computing programming model introduced in 2006 - or at higher layers of the stack, including libraries, pre-trained Al models, SDKs and other development tools. 300 Libraries 400 AI Models 2020 100 Updated in the Last Year 2023 2020 2023 *Cumulative Al Startups GPU-Accelerated Applications 15K 3,200 700 6K 2020 2023 2020 2023 00 8 NVIDIA.#9NVIDIA's Multi-Sided Platform and Flywheel Scale Installed Base R&D $ ↓ Speed-Up Developers End-Users NVIDIA Accelerated Computing Virtuous Cycle Cloud & OEMS The virtuous cycle of NVIDIA's accelerated computing starts with an installed base of several hundred million GPUs, all compatible with the CUDA programming model. . For developers - NVIDIA's one architecture and large installed base give developer's software the best performance and greatest reach For end users - NVIDIA is offered by virtually every computing provider and accelerates the most impactful applications from cloud to edge For cloud providers and OEMs - NVIDIA's rich suite of Acceleration Platforms lets partners build one offering to address large markets including media & entertainment, healthcare, transportation, energy, financial services, manufacturing, retail, and more For NVIDIA - Deep engagement with developers, computing providers, and customers in diverse industries enables unmatched expertise, scale, and speed of innovation across the entire accelerated computing stack - propelling the flywheel 9 NVIDIA.#10Huge ROI from Al Driving a Powerful New Investment Cycle Al can augment creativity and productivity by orders of magnitude across industries Knowledge workers will use copilots based on large language models to generate documents, answer questions, or summarize missed meetings, emails and chats - adding hours of productivity per week. Copilots specialized for fields such as software development, legal services or education can boost productivity by as much as 50%. Social media, search and e-commerce apps are using deep recommenders to offer more relevant content and ads to their customers, increasing engagement and monetization. Creators can generate stunning, photorealistic images with a single text prompt - compressing workflows that take days or weeks into minutes in industries from advertising to game development. Call center agents augmented with Al chatbots can dramatically increase productivity and customer satisfaction. Drug discovery, financial services, agriculture and food services and climate forecasting are seeing order-of-magnitude workflow acceleration from Al. Media Player Microsoft Edge Maps Microsoft Edge ON LINE-SHOP SANDALS Microsoft Endpoint Manager Microsoft Intune Management Ext... Weather Play and explore Microsoft Office Tools Database Compare Office Language Preferences Spreadsheet Compare Telemetry Log for Office Xbox Console... Office Al Copilots Movies & TV Over 1B knowledge workers Legal Services, Education ... 1M legal professionals in the US 9M educators in the US Contamer anformation Aut curces Charles Witam 0 235-236-339 hvidson Crtan Dhie Recommended Rate Plans Os Conversation Transcription Customer Service with Al 15M call center agents globally 5 YOU MAY ALSO LIKE Shopping Bag ADD TO SHOPPING BAG DREAM BOR Search & Social Media $700B in digital advertising annually Al Software Development 30M software developers globally s 800 HS CI CI Cl OH [ t ] Z Na HC OH Drug Discovery 1018 molecules in chemical space 40 exabytes of genome data a beautiful desert sky late in the evening Al Content Creation 50M creators globally 14.50 High Apl Low 14.40 Offers Volume Volume Bids Offers Volume 144,200 62.25 89,200 62.50 87,400 243,700 62.00 14.49 602,200 62.75 49,300 118,300 130,900 61.75 61.50 62.50 242,400 62.75 142,600 72.75 High 74.50 S Volume 14.30 14.60 1440 14.70 14.30 14.80 570,800 13.50 High 13.50 40475 Low 13.30 B Offers Volume 13.60 2,232,800 20000 62.00 143,580 Volume 61.75 63.00 Bids 633,900 13.40 227,500 13.50 High 13.50 +0.10 (+0.75%) Low Offers 13.30 Volume 13.50 2,898,500 4,665,200 13.30 13.60 232,800 6,754,900 13.20 13.70 2,229,100 -1.50 (-2.02%) Low Bids Volume 72.75 Offers 315,900 72.75 73.00 565,300 377,000 72.50 73.25 73.50 +0.04 (+1.94%) Low Offers 423,400 13.40 13.50 2.898.500 1130 351,600 72.25 563,000 1120 13.70 2,229,100 46.50 High 47.00 2.10 High 212 74.50 High 74.75 Low 46.25 08 0(+0.68%) Low 74.00 Offers Volume Bids Volume 30.75 3.489,300 Volume Bids ffers 1,319,000 Volume 210 404.433.300 2.12 2,372,500 1,707,400 2.08 196,000 74.50 2011.400 2.14 697,100 75 748,700 1.578.700 205 653,800 2.16 4.25 802 50 1.224.900 240 500 6.70 Volume 6.60 Financial Services 678B annual credit card transactions Agri-Food | Climate 1B people in agri-food worldwide Earth-2 for km-scale simulation Source: Goldman Sachs, Cowen, Statista, Capital One, Wall Street Journal, Resource Watch, NVIDIA internal analysis 10 NVIDIA.#11Quantum co TEXT AUDIO IMAGE mechanics to Generative Al The most important computing platform of our generation HE 3D VIDEO DNA PROTEIN MOLECULE ANIMATION HHHHHHH |||| ANIMATION MOLECULE PROTEIN DNA VIDEO 3D IMAGE AUDIO The era of generative Al has arrived, unlocking new opportunities for Al across many different applications. Generative Al is trained on large amounts of data to find patterns and relationships, learning the representation of almost anything with structure. It can then be prompted to generate text, images, video, code, or even proteins. For the very first time, computers can augment the human ability to generate information and create. 1,600+ Generative Al companies are building on NVIDIA. Quantum co TEXT mechanics to 11 NVIDIA.#121010 109 108 Training Compute (petaFLOPs) 107 106 Modern Al is a Data Center Scale Computing Workload Data centers are becoming Al factories: Data as input, intelligence as output Before Transformers = 8x/2yrs Transformers = 215x/2yrs 105 104 103 ⚫ AlexNet MT NLG 530B .. GPT-3⚫ Microsoft T-NLG GPT-2⚫ Megatron-NLG⚫ PaLM • Chinchilla XLNet⚫ Wav2Vec 2.0 MoCo ResNet50 Xception BERT Large Inception V3 ⚫ Seq2Seq Resnet VGG-19 • GPT-1 Transformer • ResNeXt • ELMO DenseNet201 ● • BLOOM 102 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 Al Training Computational Requirements 9898. 88988 9898. NVIDIA nVIDI nVIDIA Large Language Models, based on the Transformer architecture, are one of today's most important advanced Al technologies, involving up to trillions of parameters that learn from text. 8898. 8898. 8898. 8898 8898. Developing them is an expensive, time-consuming process that demands deep technical expertise, distributed data center-scale infrastructure, and a full-stack accelerated computing approach. NVIDI 100 -ηνικ Grvou Greens NVIDIA Fueling Giant-Scale Al Infrastructure NVIDIA compute & networking GPU | DPU | CPU 1004 12 NVIDIA.#13Full-Stack & Data Center Scale Acceleration Drive significant cost savings and workload scaling - Classical Computing — 960 CPU-only servers Application CPU server racks LLM Workload: Bert-Large Training and Inference | CPU Server: Dual-EYPC 7763 | GPU Server: Dual-EPYC 7763 + 8X H100 PCle GPUs Accelerated Computing - 2 GPU servers Application Re-Engineered for Acceleration CUDA-X Acceleration Libraries Magnum 10 25X lower cost 84X better energy-efficiency 13 NVIDIA.#14The High ROI of High Compute Performance 4-Year Cost of Al Infrastructure ~$1B 16K GPU DC Facility Build & Operate GPU Compute 4-Year Rental Opportunity @$4 per GPU-HR ~$2.5B Networking 15% Utilization Increase Worth $350M+ 25% Performance Increase Worth $600M+ 14 NVIDIA.#15NVIDIA Go-to-Market Across Cloud and On-Premises Reaching customers everywhere CLOUD DGX Cloud NVIDIA® Google Cloud Microsoft Azure PARTNERS ORACLE CLOUD Infrastructure NVIDIA AI Foundations aws Google Cloud Microsoft Azure ORACLE CLOUD Infrastructure ON-PREM DGX DELL Technologies Hewlett Packard Enterprise Lenovo ==: D HGX INFERENCE MGX AGX IGX 15 NVIDIA.#16TRAINING NVIDIA DGX | HGX H100 NVIDIA L40S 8888. 888. 8898. Training & Inference - One Architecture Cloud | On-Prem | Edge IN THE DATA CENTER INFERENCE AT THE EDGE NVIDIA L40 Image Generation NVIDIA L4 Al Video IGX Industrial-Grade System for Healthcare, Logistics, Manufacturing NVIDIA H100 | L40S Universal GPUs NVIDIA Grace Hopper RecSys, Gen Al AGX Functionally-Safe System for Autonomous Vehicles 16 NVIDIA.#17NVIDIA ΑΙ Playground NVIDIA ΑΙ Foundations DGX Cloud Microsoft Azure Google Cloud ORACLE CLOUD Infrastructure NVIDIA AI Enterprise Enterprise is the Next Big Generative Al Opportunity NVIDIA AI Enterprise LLM Model Container DGX Cloud Microsoft Azure Google Cloud ORACLE CLOUD Infrastructure Enterprise On-Prem Al Chatbot "RAG❞ DELL Lenovo Hewlett Packard Enterprise vmware® Cloud Al APIs Enterprise SaaS & Al Platforms A Adobe gettyimages servicenow. databricks Hugging Face snowflake Vector DB WPP Enterprise Al Chatbots are built as Retrieval Augmented Generation (RAG) workflows, which augment the knowledge in the LLM with vectorized Enterprise data. These Chatbots serve as apprentices, improving the productivity of every employee in every Enterprise company. NVIDIA delivers this capability to Enterprises by packaging LLMs with NVIDIA AI Enterprise, the runtime for hosting the LLMs, into containers that can be deployed anywhere - on any cloud, on premises, or within Enterprise SaaS applications. 17 NVIDIA.#18NVIDIA DGX Cloud Al-training-as-a-service platform for the era of generative Al NVIDIA AI FOUNDATIONS NeMo | Picasso Microsoft Azure DGX CLOUD Google Cloud ORACLE CLOUD Infrastructure NVIDIA DGX Cloud is a cloud service that allows enterprises immediate access to the infrastructure and software needed to train advanced models for generative Al and other groundbreaking applications. DGX Cloud provides dedicated clusters of NVIDIA DGX AI supercomputing, paired with NVIDIA AI software. Enterprise customers can also use the NVIDIA AI Foundations model making service, which includes NVIDIA NeMo for training custom LLMS and NVIDIA Picasso for custom generative Al models for visual design. The service is equipped with models, tools, and accelerated computing for training, customizing, optimizing, and deploying Al. 18 NVIDIA.#19NVIDIA AI Enterprise The operating system for enterprise Al NVIDIA AI Enterprise NVIDIA AI Enterprise is software for deploying and running Al with enterprise-grade security, API stability, manageability and support. Cloud-native and available in every major cloud marketplace - AWS, Microsoft Azure, Google Cloud Platform and Oracle Cloud. Certified to run on servers and workstations from all major OEMs. Al Use Cases and Workflows 9 Hello LLM T Speech Al Recommenders Cybersecurity Γ Medical Imaging Video Analytics Route Optimization More Run Anywhere NVIDIA AI Enterprise Cloud Azure | GCP | OCI | AWS Consumption pricing per GPU-hour NVIDIA Certified Server Dell | HPE | Lenovo Subscription pricing per GPU/year (included with H100 PCIe/DGX) 19 NVIDIA.#20GSI & Service Delivery accenture NVIDIA AI Enterprise Broad and deep ecosystem and distribution to reach every enterprise + (H) - Al Platforms Software Platforms Booz Allen | Hamilton R databricks Hugging Face snowflake gettyimages servicenow shutterstock A Adobe WPP Capgemini Deloitte. Infosys Public Cloud Marketplaces tcs ΤΑΤΑ CONSULTANCY SERVICES wipro aws ORACLE Cloud Infrastructure Private Cloud vmware Google Cloud Microsoft Azure Server OEMS BOXX 1|111|1 CISCO DELL Technologies HPE GreenLake hp Lenovo. SUPERMICRO 20 NVIDIA.#21$11,716 $10,918 Driving Strong & Profitable Growth Revenue ($M) $16,675 $26,914 $26,974 Operating Income (Non-GAAP, $M) -Operating Margin (Non-GAAP) $15,000 70% $12,690 $12,000 $10,828 60% $9,040 52% $9,000 $6,803 47% 50% $6,000 $4,407 41% $3,735 34% 40% $20,699 $3,000 38% 34% $0 FY19 FY20 FY21 FY22 FY23 30% 1H FY24 FY19 FY20 FY21 FY22 FY23 1H FY24 Fiscal year ends in January. Refer to Appendix for reconciliation of Non-GAAP measures. Operating margins rounded to the nearest percent. 42 1H FY21 4 4 7 43 1H FY24 70 331 23 Gaming Data Center ProViz Auto OEM & Other FY23 financial metrics reflect a $2.2B charge for inventory and related reserves primarily related to Data Center and Gaming. 21 NVIDIA.#22NVIDIA Gross Margins Reflect Value of Acceleration Accelerated computing requires full-stack and data center-scale innovation across silicon, systems, algorithms and applications. Significant expertise and effort are required, but application speed-ups can be incredible, resulting in dramatic cost and time-to-solution savings. For example, 2 NVIDIA HGX nodes with 16 NVIDIA H100 GPUs that cost $400K can replace 960 nodes of CPU servers that cost $10M for the same LLM workload. NVIDIA chips carry the value of the full-stack, not just the chip. Gross Profit (Non-GAAP, $M) -Gross Margin (Non-GAAP) $17,969 $15,965 $14,417 $10,947 67% 66% $7,233 $6,821 63% 62% 59% 70% Cost comparison example based on latest available NVIDIA A100 GPU and Intel CPU inference results in the commercially available category of the MLPerf industry benchmark; includes related infrastructure costs such as networking. FY19 FY20 FY21 FY22 FY23 1H FY24 FY23 financial metrics reflect a $2.2B charge for inventory and related reserves primarily related to Data Center and Gaming. Fiscal year ends in January. Refer to Appendix for reconciliation of Non-GAAP measures. Gross margins are rounded to the nearest percent. 22 NVIDIA.#23$3.1B Strong Cash Flow Generation Free Cash Flow (Non-GAAP) $8.7B $8.0B $4.3B $4.7B $3.8B FY19 FY20 FY21 FY22 FY23 1H FY24 Fiscal year ends in January. Refer to Appendix for reconciliation of Non-GAAP measures. 1 Subject to continuing determination by our Board of Directors. Capital Allocation Share Repurchase $10B repurchased in FY23 Additional $25B in stock repurchases authorized, adding to $4B which remained as of end of Q2 Dividend $398M in FY 2023 Plan to Maintain' Strategic Investments Growing Our Talent Platform Reach & Ecosystem 23 NVIDIA.#24NVIDIA NVIDIA 150 NVIDIA Our Market Platforms at a Glance RETURNAL SACKBOY A BIG ADVENTURE WITCHER WILD HUNT FORT DYINGLIGHT2 STAY HUMAN g MINECRAFT OR WINDOWS 10 APLAGUETA REQUIEM 1380 4437 RTX 4090 GH 10 Gaming 33% of FY23 revenue Professional Visualization 6% of FY23 revenue Automotive 3% of FY23 revenue PORTAL WITH BTX 24 NVIDIA. FY23 Revenue $15.0B 5-yr CAGR 51% DGX/HGX/MGX/IGX systems GPU | CPU | DPU | Networking NVIDIA AI software FY23 Revenue $9.1B 5-yr CAGR 10% GeForce GPUs for PC gaming GeForce NOW cloud gaming FY23 Revenue $1.5B 5-yr CAGR 11% NVIDIA RTX GPUs for workstations Omniverse software FY23 Revenue $0.9B 5-yr CAGR 10% DRIVE Hyperion sensor architecture with AGX compute DRIVE AV & IX full stack software for ADAS, AV & Al cockpit Data Center 56% of FY23 revenue#2551% 5-YR CAGR Through FY23 $2,932 $2,983 Data Center The leading computing platform for AI, HPC & graphics Revenue ($M) $15,005 $14,607 $6,696 $10,613 FY19 FY20 FY21 FY22 FY23 1H FY24 Leader in AI & HPC #1 in Al training and inference Used by all hyperscale & major cloud computing providers and 40,000 enterprises Powers 74% of the TOP500 supercomputers Growth Drivers Rapid Al adoption across industries Full-stack Al | Software Three chip strategy - GPU | CPU | DPU Rising computation requirements for modern Al Data-center scale innovation Omniverse 25 NVIDIA.#26NVIDIA AI - One Architecture | Train and Deploy Everywhere From Two-Year Rhythm to One-Year Rhythm | Training & Inference | x86 & Arm | Hyperscale & Enterprise 2021 2023 2024 2025 GH200NVL GB200NVL GX200NVL Arm Training & Inference GH200 GB200 GX200 Arm Inference A100 H100 H200 B100 X100 X86 Training & Inference L4OS B40 X40 X86 Enterprise & Inference Quantum 400G 800G 1,600G InfiniBand Al Infrastructure Spectrum-X 400G 800G 1,600G Ethernet Enterprise & Hyperscale Al Infrastructure 26 NVIDIA.#27NVIDIA Grace Hopper Superchip NVIDIA GH200 72-Core Grace CPU 500 GB LPDDR5X 4 PFLOPS Hopper GPU 141 GB/5 Tbps HBM3e E 36 60 99 NAMA NVIDIA BlueField-3 27 NVIDIA.#28$250B Revenue $OB FY20 Addressing the Entire Data Center $1T+ data center infrastructure installed base FY21 FY22 Source: Mercury Research, Dell'Oro Assumes NVIDIA Fiscal Year aligns to Calendar Year (e.g. FY23 = CY22) FY23 Other Data Center Infrastructure Network Infrastructure Servers NVIDIA Data Center Server CPU Q2 FY24 Annualized 28 NVIDIA.#2910% 5-YR CAGR Through FY23 Revenue ($M) $12,462 $6,246 $5,518 $7,759 Gaming GeForce― the world's largest gaming platform $9,067 Leader in PC Gaming Strong #1 market position 15 of the top 15 most popular GPUs on Steam Leading performance & innovation 200M+ gamers on GeForce $4,726 Growth Drivers Rising adoption of NVIDIA RTX in games Expanding universe of gamers & creators Gaming laptops & Gen Al on PCs GeForce NOW Cloud gaming FY19 FY20 FY21 FY22 FY23 1H FY24 29 NVIDIA.#30GeForce Extends Growth, Large Upgrade Opportunity GeForce Gaming Revenue 20% CAGR FY20 FY23 Installed Base $699+ Cumulative Sell-Through $ 47% RTX RTX 3YR CAGR ASP 10% Units 9% 3060+ 20% RTX3060+ Performance More Gamers, Richer Mix Installed Base Needs Upgrade Source: NVIDIA estimates 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Weeks After Launch NVIDIA Ada NVIDIA Ampere NVIDIA Turing Ada: 3× Turing Ramp at $699+ 30 NVIDIA.#3111% 5-YR CAGR Through FY23 Revenue ($M) $2,111 $1,212 $1,130 $1,053 Professional Visualization Workstation graphics $1,544 Leader in Workstation Graphics 95%+ market share in graphics for workstations 45M Designers and Creators Strong software ecosystem with over 100 RTX accelerated and supported applications. $674 Growth Drivers Ray Tracing and generative Al revolutionizing design and content creation Expanding universe of designers and creators Collaborative 3D design / Omniverse Hybrid work environments. FY19 FY20 FY21 FY22 FY23 1H FY24 31 NVIDIA.#3210% 5-YR CAGR Through FY23 Revenue ($M) $700 $641 $536 $566 Automotive Autonomous Vehicles (AV) & Al Cockpit $903 Leader in Autonomous Driving Revenue growth primarily fueled by NVIDIA DRIVE, our AV and Al cockpit platform with full software stack Inflection in FY23 driven by AV as DRIVE Orin SoC began to ramp Next-generation DRIVE Thor SoC to ramp in FY26 $549 Growth Drivers Adoption of centralized car computing and software-defined vehicle architectures AV software and services: Mercedes Benz Jaguar Land Rover FY 19 FY20 FY21 FY22 FY23 1H FY24 $14B Design Win Pipeline Through FY29 32 NVIDIA.#33$1 Trillion Long-Term Annual Market Opportunity Enterprise Industrial Digitalization Autonomous Vehicles & Robotics Omniverse Enterprise $150B Autonomous Machines $300B NVIDIA AI Enterprise & DGX Cloud $150B Cloud Service Providers & Consumer Internet Gaming $100B Data Center Systems $300B 33 NVIDIA.#34Summary Gen Al is the tipping point for the new computing era Al is the new software and Accelerated Computing the new hardware Huge ROI from Gen Al - from new revenue or dramatically lower costs - is driving a powerful new investment cycle NVIDIA's accelerated computing platform delivers unmatched performance and TCO savings. Strong revenue, operating profit, and cash flow growth. $1T market opportunity 34 NVIDIA.#35Reconciliation of Non-GAAP to GAAP Financial Measures#36Gross Margin ($ in Millions & Margin Percentage) Reconciliation of Non-GAAP to GAAP Financial Measures Non-GAAP Acquisition-Related and Other Costs Stock-Based (A) Compensation (B) IP-Related Costs GAAP $7,233 (27) (35) $7,171 FY 2019 61.7% | (0.2) (0.3) 61.2% $6,821 (39) (14) $6,768 FY 2020 62.5% (0.4) (0.1) 62.0% $10,947 (425) (88) (38) $10,396 FY 2021 65.6% (2.6) (0.5) (0.2) 62.3% $17,969 (344) (141) (9) $17,475 FY 2022 66.8% (1.4) (0.5) 64.9% $15,965 (455) (138) (16) $15,356 FY 2023 59.2% (1.7) (0.5) (0.1) 56.9% $8,636 (214) (76) $8,346 1H FY 2023 57.6% (1.4) (0.5) $14,417 (239) (58) (10) 1H FY 2024 69.7% (1.2) (0.3) 55.7% $14,110 68.2% A. Consists of amortization of intangible assets and inventory step-up B. Stock-based compensation charge was allocated to cost of goods sold 36 NVIDIA.#37Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Operating Income and Margin ($ in Millions & Margin Percentage) Non-GAAP Acquisition Termination Cost Acquisition-Related and Other Costs (A) Stock-Based Compensation (B) Other IP-Related Costs GAAP (C) $4,407 (2) (557) (35) (9) $3,804 FY 2019 37.6% (4.7) (0.3) (0.1) 32.5% $3,735 (31) (844) (14) $2,846 FY 2020 34.2% (0.3) (7.7) (0.1) | 26.1% $6,803 | (836) (1,397) (38) | FY 2021 40.8% | (5.0) (8.4) (0.2) $12,690 | (636) (2,004) (9) | $4,532 27.2% $10,041 FY 2022 47.2% (2.5) (7.4) | 37.3% $9,040 (1,353) (674) (2,710) (16) (63) $4,224 FY 2023 33.5% (5.0) (2.5) (10.0) (0.1) (0.2) 15.7% $5,280 (1,353) (324) (1,227) (9) $2,367 1H FY 2023 35.2% (9.0) (2.2) (8.2) 15.8% $10,828 1H FY 2024 52.3% | ☐ ☐ (311) (1,576) (10) 10 $8,941 (1.5) (7.6) | | 43.2% A. Consists of amortization of acquisition-related intangible assets, inventory step-up, transaction costs, compensation charges, and other costs B. Stock-based compensation charge was allocated to cost of goods sold, research and development expense, and sales, general and administrative expense C. Comprises of legal settlement costs, contributions, restructuring costs and assets held for sale related adjustments 37 NVIDIA.#38Reconciliation of Non-GAAP to GAAP Financial Measures ($ in Millions) Free Cash Flow FY 2019 $3,143 Purchases Related to Property and Equipment and Intangible Assets Principal Payments on Property and Equipment and Intangible Assets Net Cash Provided by Operating Activities 600 FY 2020 $4,272 489 | $3,743 $4,761 FY 2021 $4,677 1,128 17 $5,822 FY 2022 $8,049 976 83 $9,108 FY 2023 $3,750 1,833 58 $5,641 1H FY 2023 $2,171 794 36 $3,001 1H FY 2024 $8,691 537 31 $9,259 38 NVIDIA.#39NVIDIA