#1NVIDIA NVIDIA Investor Presentation October 2022#2Except for the historical information contained herein, certain matters in this presentation including, but not limited to, statements as to: our growth and growth drivers; trends and our opportunities in existing and new markets; Al-fueled applications supercharging the exponential growth in demand for computation; Al computational intensity growing super-exponentially; the next wave of Al and data centers; our cash dividend and repurchase program; our strategies; the rising adoption of NVIDIA RTX; the performance, specifications, benefits, impact and availability of our products and technologies, including NVIDIA HPC, NVIDIA AI, NVIDIA Omniverse, NVIDIA cuNumeric, NVIDIA CV-CUDA, NVIDIA cuQuantum, NVIDIA Parabricks, NVIDIA Sionna, NVIDIA JetPack, NVIDIA RAPIDS, NVIDIA Spark, NVIDIA cuDNN, NVIDIA cuGraph, NVIDIA TensorRT, NVIDIA Triton, NVIDIA DeepStream, NVIDIA Flare, NVIDIA DOCA, NVIDIA Mag IO, NVIDIA Aerial, NVIDIA RTX, NVIDIA DGX, NVIDIA HGX, NVIDIA EGX, NVIDIA OVX, NVIDIA Super POD, NVIDIA AGX, NVIDIA GPUs, NVIDIA CPUs, NVIDIA DPUs, GeForce GPU, GeForce NOW, Quadro, Ada Lovelace, Hopper GPU, Grace CPU, Bluefield DPU, Omniverse Enterprise SW, Orin SOC, Base Command, Fleet Command, TAO, Enterprise TensorFlow/PyTorch, Triton Inference Server, NVIDIA IGX, MLPerf, H100 GPU, NVIDIA Turing, NVIDIA Ampere Architecture, NVIDIA DRIVE products including the Al Cockpit and Autonomous Vehicles platform, Thor Superchip, RT Core, Tensor Core, NVIDIA Al Enterprise Software, NVIDIA One Architecture, NVIDIA Nemo LLM, NVIDIA BioNemo and Transformer architecture; optimizing across the entire stack allowing NVIDIA to advance computing in the post-Moore's law era; our partnerships, collaborations, and customers; upcoming launches of our products and architectures; and Ada Lovelace paving the way for fully simulated worlds 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. 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". NVIDIA.#3NVIDIA 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 357 of the TOP500 supercomputers, and boasts over 3.5 million developers. Headquarters: Santa Clara, CA | ~25,000 Employees ここ#4NVIDIA® What Is Accelerated Computing? A full-stack approach: silicon, systems, software • Not just a superfast chip - accelerated computing is a full-stack combination of: Chip(s) with specialized processors Algorithms in acceleration libraries Amdahl's law: The overall system speed-up (S) gained by optimizing a single part of a system by a factor (s) is limited by the proportion of execution time of that part (p). S = || 1 p (1 − p) + b S . Domain experts to refactor applications. To speed-up compute-intensive parts of an application. For example: . If 90% of the runtime can be accelerated by 100x, the application is sped up 9x If 99% of the runtime can be accelerated by 100x, the application is sped up 50x If 80% of the runtime can be accelerated by 500x, or even 1000x, the application is sped up 5x#5NVIDIA® 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 23, 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#6Al Is the Greatest Technology Force of Our Time Data centers across industries will become Al factories Al has fundamentally changed what software can make and how you make software. Companies are processing & refining their data, making Al software - becoming intelligence manufacturers. Their data centers are Al factories. The first wave of Al learned perception and inference, like recognizing images, understanding speech, recommending a video, or an item to buy. The next wave of Al is robotics - Al planning actions. Digital robots, avatars, and physical robots will perceive, plan and act. NVIDIA's acceleration stacks and ecosystems help bring Al to the world's largest industries. NVIDIA's world-class Al expertise and scale can help revolutionize businesses. Contact Center Al 500M Calls / Day Meeting Transcription 3B Meeting Minutes / Day Work in Progress Exam: 280674/304 Serie: 141 48 Ing 312/20 L. 36326 Set 12/11/20 Room 4 05G 12 1012 Patient Depart PEDESTRIAN BUS VAN 4444 VAN MOTORBIKE BUS PEDESTRIAN CYCLIST CYCLIST VAN CAR Public Safety > 1B Smart City Cameras Deployed ABI AB Retail Asset Protection $94.5B Inventory Loss / Year 10:0895734756.04 M8050438/24 Medical Imaging 10M Diagnostic Scans / Day Industrial Inspection 32M Vision Sensors Installed by 2025 Transportation 10T Miles / Year CREDIT CARD 1234 0000 5678 9012 NAME SURNAME 3456 VALID DATES 00/00 27 ON LINE-SHOP Register Contamer care Shopping Bag YOU MAY ALSO LIKE SANDALS +45-6-65-7-73 ADD TO SHOPPING BAG DREAM BOX Credit Card Fraud 1.28B Credit Transactions / Day Product Recommendations 1B E-Commerce Visitors / Day Source: Nilson Report, IHS Markit, Similar Web, NRF, WHO, ABI and NVIDIA internal analysis NVIDIA.#7Building and Operating Metaverse Applications Is the Next Wave NVIDIA Omniverse - Runs on NVIDIA OVX servers | RTX workstations | Enterprise software | Cloud services NVIDIA Omniverse is a software platform for building and operating metaverse applications. Our initial focus is on industrial metaverses, such as digital twins used to emulate the behavior of products or factories in the physical world. Omniverse uses a real-time, large-scale 3D database that connects to 3D worlds via the USD (Universal Scene Descriptor) framework. Just as the internet connects websites over HTML, Omniverse connects 3D worlds over USD. Omniverse is essential for the next wave of Al -- robotics -- where Al interacts with the physical world. Applications built to run on Omniverse are like portals into the Omniverse virtual world. ultra ARDE Mod Modd Modd Sepa Room Factory CAD Robot CAD USD USD Product Development Connecting 3D Creators & Al Assistants in Virtual Worlds STR Factory Digital Twin ΑΙ Path Tracing MDL Physics USD Factory Planning USD USD <-Idle Task Move Digital Human Training Robot Gym Operate Digital Twin Connecting Robots in a Virtual World NVIDIA.#8AI APPLICATION FRAMEWORK VOICE NVIDIA's Accelerated Computing Platform Full-stack innovation across silicon, systems and software MODULUS MONAI RIVA MAXINE NEMO MERLIN CUOPT MORPHEUS TOKKIO AVATAR DRIVE ISAAC PLATFORMS NVIDIA HPC cuNumeric CV-CUDA cuQuantum NVIDIA AI Parabricks Sionna Jetpack IGX BUS VAN AN BUS NVIDIA Omniverse MOTORBIKE 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 is a full-stack challenge, demanding deep understanding of the problem domain, optimizing across every layer of computing, and all three chips - GPU, CPU, and DPU. Scaling across multi-GPUs and multi-nodes is a datacenter-scale challenge and requires treating the network and storage as part of the computing fabric. Our platform extends from PCs to supercomputing centers, enterprise data centers, cloud and edge environments. ACCELERATION RAPIDS Spark cuDNN cuGraph TensorRT Triton Deepstream Flare LIBRARIES CLOUD-TO-EDGE DATACENTER-TO- ROBOTIC SYSTEMS 3-CHIPS DOCA Mag 10 Aerial RTX DGX HGX EGX OVX Super POD AGX GPU CPU DPU NVIDIA.#9NVIDIA's Multi-Sided Platform and Flywheel NVIDIA is valued by every stakeholder in the ecosystem: For developers - NVIDIA's One Architecture and large installed base give developer's software the best performance and greatest reach For computer makers and CSPS - 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 customers - NVIDIA is offered by virtually every computing provider and accelerates the most impactful applications from cloud to edge 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 Full-Stack Expertise and Scale CUDA Installed Base NVIDIA Accelerated Computing Demand and New Opportunities 3.5 Million Developers Wealth of Accelerated Apps Global Computer Makers and CSPs 35,000 Organizations Across Industries 100's of Systems CSPs Worldwide Full-Stack Acceleration for Largest Industries NVIDIA.#10Full-Stack & Data Center Scale Acceleration Drive Significant Cost Savings and Workload Scaling Classical Computing - 92 CPU-only servers $3.3M (including, switches, cables, racks) Application CPU server racks 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. Accelerated Computing - 1 NVIDIA DGX A100 $220,000 DGX and $100,000 NVIDIA AI software Application Re-Engineered for Acceleration CUDA-X Acceleration Libraries Magnum 10 DGX 10X lower cost 14X better energy-efficiency NVIDIA.#11NVIDIA AI Enterprise New NVIDIA Software and Services Enabling the World's Enterprises to Revolutionize Industries with Al NVIDIA Omniverse NVIDIA Nemo LLM NVIDIA BioNemo The operating engine of Al for end-to-end data-driven software development. One engine license accelerates end- to-end modern Al and data science. One engine license unlocks wealth of data processing, Al, and robotics frameworks and applications - e.g., RAPIDS, Spark, Merlin, Monai, Metropolis, cuOpt, Morpheus, Tokkio. A platform for designing, building, and operating 3D and virtual world simulations. Consists of a virtual world engine, USD connectors, and portals browsing the virtual world simulation. Omniverse is an enterprise application that connects architects, designers, hardware and software engineers, marketers, to supply-chain and factory planners. NVIDIA-hosted cloud service for training Large Language Models to perform specific tasks - e.g., summarize legal documents, write marketing copy, analyze market sentiment, chatbot to support customers, search documents, write and document code, paraphrase Nemo can help thousands of companies, train language Al's to do hundreds of tasks, in 10's of languages. NVIDIA-hosted cloud service for training and deploying large biomolecular models that understand the language of chemistry, proteins, RNA, and DNA. BioNemo can help researchers, biotech, and pharma companies to process chemical and biological datasets to accelerate drug discovery. Per GPU On-Prem Subscription Per GPU-HR Cloud Consumption Per Connection On-Prem Subscription Per GPU-HR Cloud Consumption Per GPU On-Prem Subscription Per GPU-HR Cloud Consumption Per GPU On-Prem Subscription Per GPU-HR Cloud Consumption NVIDIA.#12Giant Market Opportunity Gaming & Metaverse Financial Services Healthcare Logistics Manufacturing 0609 ☐ ☐ E Retail D Transportation Gaming Over 3B gamers and creators, a quarter of them spending over $100/year for GPUs in desktops, laptops, cloud or consoles NVIDIA AI Enterprise Software 50M enterprise server installed base; per-server, per-year subscription price Omniverse Enterprise Software Over 45M designers and creators; 10s of millions of digital twins - per-user/digital twin, per-year subscription price Chips and Systems ~20M servers/year - GPUs, CPUs, DPUS, NICs, switches Automotive 100M vehicles/year hardware opportunity; 100s of millions of AV vehicles installed base software opportunity GAMING $100B $1 TRILLION OPPORTUNITY NVIDIA AI ENTERPRISE SOFTWARE $150B OMNIVERSE ENTERPRISE SOFTWARE $150B CHIPS & SYSTEMS $300B AUTOMOTIVE $300B NVIDIA.#13Driving Strong & Profitable Growth Revenue ($M) $11,716 $10,918 $9,714 $16,675 $26,914 $14,992 1Η 1H FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023 Operating Profit (Non-GAAP) -Operating Margin (Non-GAAP) $12,690 47% $6,803 41% $3,617 37% $4,407 38% $3,735 1H $5,280 1H 35% FY 2019 34% FY 2020 FY 2021 FY 2022 FY 2023 FY 2018 Fiscal year ends in January. Refer to Appendix for reconciliation of Non-GAAP measures. Operating margins rounded to the nearest percent.. 10 1H FY18 10 7 20 53 51 7 1H FY23 22 Gaming 38 Data Center ProViz Auto OEM & Other 1H FY23 financial metrics reflect a Gaming channel inventory correction and a $1.2B charge for inventory and related reserves. NVIDIA.#14NVIDIA 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, 10 NVIDIA HGX nodes with 80 NVIDIA A100 GPUs that cost $4M can replace 920 nodes of CPU servers that cost over $50M for Al inference. NVIDIA chips carry the value of the full-stack, not just the chip. Gross Profit (Non-GAAP) -Gross Margin (Non-GAAP) $17,969 67% 66% $10,947 63% 62% 60% $5,844 $7,233 $6,821 $8,636 1H 1H 58% FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023 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. 1H FY23 financial metrics reflect a Gaming channel inventory correction and a $1.2B charge for inventory and related reserves. Fiscal year ends in January. Refer to Appendix for reconciliation of Non-GAAP measures. Gross margins are rounded to the nearest percent. NVIDIA.#15Strong Cash Flow Generation Free Cash Flow (Non-GAAP) $3.1B $2.9B $4.7B $4.3B $8.0B 1H $2.2B 1H FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023 Fiscal year ends in January. Refer to Appendix for reconciliation of Non-GAAP measures. Capital Allocation Share Repurchase Resumed Buybacks in Q1 FY 2023 $5.3B repurchased in 1H FY23; ~$12B Remaining Authorization Through Jan 2024 as of Aug 2023 Dividend $400M in FY 2022 Plan to Maintain Strategic Investments Growing Our Talent, Platform Reach & Ecosystem NVIDIA.#16Our Market Platforms at a Glance NVIDIA NVIDIA NVIDIA 1754 NVIDIA Data Center 40% of FY22 revenue Professional Visualization 8% of FY22 revenue Automotive 2% of FY22 revenue FY22 Revenue $12.5B 5-yr CAGR 25% GeForce GPUs for PC gaming GeForce NOW cloud gaming FY22 Revenue $10.6B 5-yr CAGR 66% DGX/HGX/EGX/IGX systems GPU | CPU | DPU | Networking NVIDIA AI software FY22 Revenue $2.1B 5-yr CAGR 20% Quadro/NVIDIA RTX GPUS for workstations Omniverse software FY22 Revenue $0.6B 5-yr CAGR 3% DRIVE Hyperion sensor architecture with AGX compute, DRIVE AV & IX full stack software for ADAS, AV & Al cockpit Gaming 46% of FY22 revenue NVIDIA.#1766% 5-YR CAGR Data Center The leading computing platform for AI, HPC & graphics Revenue ($M) $10,613 $7,556 $6,696 1H 1Η $2,932 $2,983 $1,932 FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023 Leader in AI & HPC #1 in Al training and inference Used by all hyperscale & major cloud computing providers and 35,000 organizations Powers 357 of the TOP500 supercomputers Growth Drivers Rapid Al adoption across industries Rising computation requirements for modern Al Three chip strategy - GPU | CPU | DPU Data-center scale innovation Full-stack Al | Software Omniverse NVIDIA.#18Hyperscale Revenue Data Center Strong growth fueled by Al performance leadership and huge developer ecosystem P100 V100 3x A100 2015 K80 90,000x 2017 V100 480 Mins (8 Hours) 2021 A100 24 Seconds 36,000 Mins (25 Days) CUDA Downloads - 4.5X in 4 Yrs 37M # of Developers - 3.5X in 4 Yrs 3.5M Accelerated Applications - 5X in 4 Yrs 3K Note: Cumulative Revenue 8Q After Launch Accelerating Adoption with Every Architecture MLPerf #1 in Al Training & Inference Performance The Largest Accelerated Computing Ecosystem NVIDIA.#19Training Compute (petaFLOPS) 1010 109 Modern Al is a Data Center Scale Computing Workload Data centers are becoming Al factories: data as input, intelligence as output Al Training Computational Requirements All Al Models Excluding Transformers: 8x/2yrs Transformer Al Models: 275x/2yrs Megatron-Turing NLG 530B GPT-3 108 Microsoft T-NLG GPT-2 107 Megatron Wav2Vec 2.0 XLNet❤ MoCo ResNet50 106 Xception Inception V3 BERT Large 105 Resnet Seq2Seq GPT-1 Transformer 104 ResNext VGG19 ELMO DenseNet201 103 AlexNet 102 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 8998 Fueling Giant-Scale Al Infrastructure NVIDIA compute & networking GPU | DPU | CPU 8998 888. 8818. NVIDIA 11111 8818. 11111 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. 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. NVIDIA.#20H100 GPU 88 NVIDIA Wave of New Data Center Products Ramping new architectures for GPU, CPU and DPU Bluefield-3 DPU 0000 MC www 05 NVIDIA Grace CPU Superchip World's Most Advanced Chip 80B Transistors Transformer Engine - 6X Perf Confidential Computing 4th Gen NVLink - 7X PCIe Gen5 First 400 Gb/s DPU Line-rate processing of software-defined networking, storage, and cybersecurity VMware vSphere 8 integration Zero-trust security ~600 infrastructure software partners High Performance CPU for HPC and Al 144 Cores | 740 SPECrateⓇ2017_int_base est. 1TB/s Memory Bandwidth. 2X Perf/Watt Over Traditional Servers Runs NVIDIA Computing Stacks 2H FY23 1H FY23 1H FY24 NVIDIA.#21Gaming GeForce― the world's largest gaming platform Revenue ($M) $12,462 25% 5-YR CAGR $6,246 $5,513 $5,518 $7,759 1H $5,662 1H FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023 Leader in PC Gaming Strong #1 market position with over 80% share 15 of the Top 15 most popular GPUs on Steam Leading performance & innovation 200M+ gamers on GeForce Growth Drivers Rising adoption of NVIDIA RTX Expanding universe of gamers & creators Gaming laptops & game consoles GeForce NOW Cloud gaming. NVIDIA.#2242% 60% 77% 81% Strong Gaming Fundamentals 2017 2021 3.1 B 2.3B 340+ RTX Games and Applications Pr Ps #1 Video App #1 Photo App FORZA HORIZON 5 PANDEMIC SECURE CONTAIN PROTECT RED DEAD REDEMPTION DOOM ETERNAL Pr The Elder Scrolls ONLINE- SHABO WARRIOR PC Gamers Total Gamers OUTRIDERS Boomers Gen X Millennials Gen Z M NARAKA 2:30 Hrs/Wk 4:25 Hrs/Wk 6:50 Hrs/Wk 7:20 Hrs/Wk Expanding reach to 110M Creators & Broadcasters Ps Mounladell BANNERLORD ICARUS HITMAN 101 New generation, more gamers Expanding universe of gamers and creators Source: NewZoo and NVIDIA internal analysis #1 3D App PC ENHANCED EDITION METRO EXODUS #1 Broadcast App CONTROL DYING LIGHT2 STAY HUMAN Lr ODIO FORTNITE WAR HORIZON ZERO DAWN COMPLETE EDITION EVIL DEAD THE GAME CHAPTER 3 All copyrigh the propany of their aspecte GHOSTWIRE MINECRAFT WITH ATK FOR WINDOWS 10 Robust NVIDIA ecosystem BACK BLOOD STEELRISING WARHAMMER DARKTIDE NO MAN'S SKY NVIDIA.#23TOPS Turing The Next Generation: Ada Lovelace A quantum leap for gamers | Paves the way for fully simulated worlds NVIDIA Architecture 90 Shader 16 Shader 49 RT 130 Tensor 40 Shader 78 RT 126 OFA 320 Tensor Ampere Ada 200 RT 300 OFA 1,400 Tensor A Giant Leap in Processing Throughput and Energy Efficiency - up to 4x faster, and over 2x the performance at the same power Shipping in October RTX 3080 RTX 4080 RTX 4090 NVIDIA. GEFORCE RTX#2420% 5-YR CAGR Revenue ($M) $1,212 $1,130 $1,053 $934 Professional Visualization Workstation graphics $2,111 $1,118 1H 1H FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023 Leader in Workstation Graphics 90%+ market share in graphics for workstations 45M Designers and Creators Strong software ecosystem with over 70 supported applications Growth Drivers Ray Tracing and Al revolutionizing design Expanding universe of designers and creators Collaborative 3D design / Omniverse Hybrid work environments NVIDIA.#25Automotive Autonomous Vehicles (AV) & Al Cockpit Revenue ($M) Our next billion-dollar business Over $11B design win pipeline across 40 customers Leadership Position in All Segments 20 of 30 Passenger EV 7 of 10 Trucking 8 of 10 Robotaxi Leader in Autonomous Driving Historical revenue driven largely by infotainment Future growth primarily fueled by NVIDIA DRIVE, our AV and Al cockpit platform with full software stack Over $11B design win pipeline through FY2028 based on DRIVE Orin, which started ramp in FY2023 Next-generation DRIVE Thor to ramp in FY2025 $700 $641 $558 $566 $536 $358 1H 1H FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023 Growth Drivers Adoption of centralized car computing and software-defined vehicle architectures AV software and services: Mercedes Benz FY2025 SOP* Jaguar Land Rover FY2026 SOP *SOP = Start of Production NVIDIA.#26Summary Accelerated Computing Essential for the Next Era - Al | Graphics | Simulation NVIDIA Innovates at Data Center Scale - GPU | CPU | DPU | Full Stack New Software & Services - NVIDIA AI | Omniverse | Nemo LLM | BioNemo LLM Wave of New Chips - Ada Lovelace | Hopper | Grace | Orin Strong Revenue, Operating Profit & Cash Flow Growth $1T Market Opportunity NVIDIA.#27Reconciliation of Non-GAAP to GAAP Financial Measures#28Reconciliation of Non-GAAP to GAAP Financial Measures Gross Margin ($ in Millions & Margin Percentage) Non-GAAP Acquisition-Related and Other Costs (A) Stock-Based Compensation (B) IP-Related Costs GAAP $5,844 (21) (1) $5,822 FY 2018 60.2% (0.3) | 59.9% $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% $8,083 (173) (57) (9) $7,844 1H FY22 66.4% (1.3) (0.5) (0.1) 64.5% $8,636 (214) (76) $8,346 1H FY23 57.6% (1.4) (0.5) 55.7% A. Consists of amortization of intangible assets and inventory step-up B. Stock-based compensation charge was allocated to cost of goods sold NVIDIA.#29Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Operating Margin ($ in Millions & Margin Percentage) Acquisition- Related and Non-GAAP Acquisition Termination Cost Other Costs Stock-Based Compensation Other (A) (B) (3) GAAP $3,617 (13) (391) (3) $3,210 FY 2018 37.2% (0.2) (4.0) 33.0% $4,407 (2) (557) (44) $3,804 FY 2019 37.6% $3,735 FY 2020 34.2% $6,803 | | (4.7) (0.4) 32.5% (31) (844) (14) $2,846 (0.3) (7.7) (0.1) 26.1% (836) (1,397) (38) $4,532 FY 2021 FY 2022 40.8% $12,690 47.2% (5.0) (8.4) (0.2) 27.2% (636) (2,004) (9) $10,041 (2.5) (7.4) 37.3% $5,628 1H FY22 (325) (894) (9) $4,400 46.3% (2.7) (7.3) (0.1) 36.2% 1H FY23 $5,280 35.2% (1,353) (9.0) (324) (1,227) (9) $2,367 (2.2) (8.2) 15.8% A. Consists of amortization of acquisition-related intangible assets, inventory step-up, transaction costs, compensation charges, and other costs B. Stock-based compensation charge was allocated to cost of goods sold, research and development expense, and sales, general and administrative expense C. Comprises of IP-related costs, legal settlement costs, and contributions NVIDIA.#30Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) ($ in Millions) Free Cash Flow Purchases Related to Property and Equipment and Intangible Assets FY 2018 $2,909 593 FY 2019 $3,143 600 FY 2020 $4,272 489 Principal Payments on Property and Equipment Net Cash Provided by Operating Activities $3,502 $3,743 $4,761 FY 2021 $4,677 1,128 17 $5,822 FY 2022 $8,049 976 83 $9,108 1H FY 2022 $4,035 481 40 $4,556 1H FY 2023 $2,171 794 36 $3,001 NVIDIA.#31NVIDIA