NVIDIA Investor Conference Presentation Deck

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January 2020

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#1NVIDIA. NVIDIA HEALTHCARE Kimberly Powell | VP & GM Healthcare | JP Morgan Healthcare 2020#2SAFE 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 strategies, growth, market opportunities and position; the performance, benefits and impact of our products and technologies; expected artificial intelligence compute growth and impact; the healthcare industry adopting federated learning; expected computational genomics cost, throughput and benefits; and other predictions and estimates are forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. 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. 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 Form 10-K for the annual period ended January 27, 2019 and our Form 10-Q for the quarterly period ended October 27, 2019. Copies of reports we file with the SEC are posted on our website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of January 16, 2020, based on information currently available to us. Except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.#3NVIDIA AT THE INTERESCTION OF GRAPHICS, HPC, AI GRAPHICS | HPC | AI#4Gaming $150B NVIDIA ONE ARCHITECTURE - MULTIPLE DOMAINS Cloud Computing $230B GRAPHICS | HPC | AI Automotive $10T Manufacturing $14T ۰۹} 어 Healthcare $7T#5NVIDIA AI BREAKTHROUGHS IN GRAPHICS ADVANCED TARGET PROGRAM PROJECT SOL: A Showcase for the Power of NVIDIA RTX OMNIVERSE: A Powerful Collaboration Platform for 3D Design Created by @Aurelien_Sama *Persebut subject to change, game modicom shows RTX OFF MINECRAFT RTX: Real-time Ray Tracing in the World's Most Popular Game NASA MARS LANDER: Visualizing NASA's Supercomputer Simulations NVIDIA#60000 ☐☐ 0000 GPU CPU X-FACTOR / SPEED-UP NVIDIA AI COMPUTING PLATFORM DRIVE Cars RTX METRO ISAAC Factory Robot GFN HPC CUDA-X CUDA FULL STACK CLARA Health Al AERIAL 5G ML DGX EGX 0000 9000 HGX AGX ロロ CLOUD TO EDGE SYSTEMS EL. Alibaba Group aws Azure Google Cloud CSP CISCO DELLEMC Hewlett Packard Enterprise THM L Lenovo OEM EVERYWHERE NVIDIA#71e+4 1e+2 10+0 1e-2 1e-4 1e-6 1e-10 1e-12 1e-14 Perceptron 1960 Al Compute Growing Exponentially 1970 1980 NETtalk ALVINN NVIDIA IS THE ENGINE OF AI #1 ON MLPERF 1990 Deep Belief Nets ANN LeNet-5 2000 AlphaGoZero NMT AlexNet BILSTM 2010 ResNets DON COMPUTE DOUBLING EVERY 3.4 MONTHS 2020 K80 SERVER DGX 2 Hours From 600 to 2 Hours in 5 Years Time to Train (ResNet-50) SUPER MOORE'S LAW 600 Hours NVIDIA#8ALEXNET CNN 2012 3D POSE SEGMENTATION CLASSIFICATION AI RENAISSANCE IMAGE GENERATION DENOISING OBJECT RECOGNITION "See" BERT TRANSFORMER 2018 DIALOG TRANSLATION Q&A WRITING CLASSIFICATION SUMMARIZATION "Understand" NVIDIA#9GRAPHICS & HPC 2010 DESKTOP SEQUENCING AMNIOSCOPIC RENDERING CT RECON NVIDIA A DECADE IN HEALTHCARE AI MITOSIS DETECTION HIV-1 CAPSID ULTRASOUND 4D AI 2015 CAN PROJECT CLARA GANS MRI CCDS EJECTION FRACTION CLARA AGX DEVELOPER KIT CLARA AI FRAMEWORK BRATS CHALLENGE NVIDIA#10Self-Driving ARTIFICIAL INTELLIGENCE IS DOMAIN SPECIFIC World Sense See, Understand Al Program Computer Automation 12 NVIDIA#11Self-Driving Manufacturing ARTIFICIAL INTELLIGENCE IS DOMAIN SPECIFIC World Sense See, Understand Al Program Computer Al Program Computer Automation 12 NVIDIA#12Self-Driving Manufacturing Radiology ARTIFICIAL INTELLIGENCE IS DOMAIN SPECIFIC World Sense 4 See, Understand Al Program Computer Al Program Computer Al Program Computer Automation NVIDIA#13NVIDIA CLARA DOMAIN TARGETED AI APPLICATION FRAMEWORK Pre-trained Al Models Your Data A NVIDIA CLARA AI APPLICATION FRAMEWORK AIAA LABEL Transfer Learning Tool ADAPT NVIDIA TENSORRT COMPILE Al Application Clara Runtime HGX, EGX, AGX NVIDIA#14SMART MEDICAL DEVICE REVOLUTION SMART SENSING A AliveCor care ar KALLELS NANOPORE Butterfly SMART IMAGING HYPERFINE SIEMENS Healthineers HYPER & GE Healthcare UNITED IMAGING H SMART TREATMENT HURON Digital Pathology varian OLYMPUS INTUITIVE SURGICAL 4K NVIDIA#15NVIDIA CLARA FEDERATED LEARNING FOR COLLABORATIVE AI Hospital A, B, C A NVIDIA CLARA AI APPLICATION FRAMEWORK AIAA LABEL Transfer Learning Tool ADAPT NVIDIA TENSORRT COMPILE Al Application Clara Runtime HGX, EGX, AGX Federated Learning Tool COLLABORATE AW NVIDIA#16ACR ARRAN DOLAC RADIOLOGY AND 0 MGH & BWH CENTER FOR CLINICAL DATA SCIENCE 北京大学第一医院 PERING UNIVERSITY FIRST HOSPITAL THE OHIO STATE UNIVERSITY WEXNER MEDICAL CENTER ADOPTING FEDERATED LEARNING UPSTATE MEDICAL UNIVERSITY HEALTHCARE INDUSTRY NHS South London and Maudsley NHS Foundation Trust UCLA OWKIN NHS King's College Hospital NHS Foundation Trust David Geffen School of Medicine College LONDON NHS Guy's and St Thomas' NHS Foundation Trust MEDICAL IMAGING Adopting NVIDIA Clara Federated Learning for Imaging MELLODDY This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement N° 831472. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA AMGEN MORCK MJEGYETE loodse PHARMA PARTNERS 1 Boehringer Ingelheim astellas AstraZeneca Janssen NOVARTIS NVIDIA gsk PUBLIC PARTNERS IKTOS innovative imi medicines initiative SERVIER OWKIN SUBSTRA FUEND efpia PHARMA Machine Learning Ledger Orchestration for Drug Discovery KU LEUVEN NVIDIA#17NVIDIA CLARA AI APPLICATION FRAMEWORK FOR IMAGING PRE-TRAINED MODELS Al Assisted Annotation NGC Transfer Learning Ecosystem Partners Federated Learning CUDA-X DOMAIN TARGETED AI Clara Deploy Runtime ACR NHERICH FOLLDOR OF RADIOLOGY GE Healthcare NUANCE ImFusion Quantib aidence aidoc ARTERYS Oathelas aiforia BIOS Butterfly 16BIT Cure Metrix @enlitic MUNK PHILIPS KHEIRON SIEMENS Healthineers 3SCAN 12sigma LPixel PAIGE TOUCH SUBTLE MEDICAL SURGERY Vloe UNITED EX ME IMAGING ECOSYSTEM ADOPTION HeartFlow BAYLARS Dx PathAl ⒸPROSCIA Vuno zebra NVIDIA#18$/Genome COMPUTATIONAL GENOMICS INFLECTION POINT $35,000 $30,000 $25,000 $20,000 $15,000 $10,000 $5,000 $0 2010 Cost Decreasing, Throughput Increasing 2015 2x Genomics Data Every 7 Months 2020 25000 20000 15000 10000 5000 0 200M WGS by 2025 2 Trillion CPU Hours for Variant Calling | Consume Entire Cloud CPUs for 200 Days Genomes/Sequencer NVIDIA#19NVIDIA PARABRICKS GPU ACCELERATED GENOMICS ANALYSIS TOOLKIT Germline PARABRICKS Deep Germline CUDA-X Somatic Copy Number Equivalent Results to Industry Standard GATK4 | 30-50X Faster Processing from NGS to Variant Calling Pipeline Integrates DeepVariant Al Variant Calling Parabricks Available Now on NGC NVIDIA#20BREAKTHROUGHS IN COMPUTATIONAL GENOMICS mra 8 ONANOPORE LIFE SCIENCE SUPERCOMPUTER 60 Genomes/Day MGI AI BASECALLER NVIDIA Speech Al Basecaller send C G T Wigh To 4 Invert CANCER GENOMICS Faster, More Accurate UNIVERSITY OF CALIFORNIA Genomics SANTA CRUZ Institute 12 Set Personalis 31 align G.T 14 10 Espert T: Gh DE NOVO ASSEMBLY GPU Accelerated Mapping, Alignment, Polishing 20% Signature 1 100% 30% "Signature 4 19% C>A C>G CST 20 Signature 7 106 On 30% Signature 10 10% 0% 20% Signature 13 1056 T+A T>C_T>G CA CG Signature 2 Signature 5 Signature 8 Signature 11 Signature 14 C&T T& A THC T+0 CA CO CT TA T₂C T&G Signature 3 Signature 6 Signature 9 Signature 12 wellcome sanger institute NMF FOR MUTOGRAPHS 30X Faster HARVARD UNIVERSITY SINGLE CELL ATAC-SEQ Al Denoising NVIDIA#21p HEALTHCARE ACCELERATED COMPUTING PromethION SMART MEDICAL DEVICES 0 Al Assisted Annotation Germline DGX NVIDIA Clara Transfer Learning Federated Learning NVIDIA Parabricks Deep Germline HGX Somatic EGX GRAPHICS | HPC | AI Clara Deploy Runtime Copy Number AGX (GE) GE Healthcare UNITED RE IMAGING welcome sanger INVERSION OF THE EDNA Genomics SANTA CRUZ Institute ACR SIEMENS RADIOLOGY Healthineers AMERICAN NUANCE Personalis NANOPORE HARVARD UNIVERSITY PHILIPS M MGI 华大智造 ECOSYSTEM BREAKTHROUGHS NVIDIA#22NVIDIA®

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