Slide 1: Company Overview
Company Overview August 29, 2024
Slide 2: Forward-looking statements
Except 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; our financial outlook; the benefits, impact, performance, features and ava
Slide 3: Headquarters: Santa Clara, CA
Headquarters: 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 AI lifts off. NVIDIA’s
Slide 4: NVIDIA's Accelerated Computing Platform
NVIDIA’s Accelerated Computing Platform Full-stack innovation across silicon, systems and software APPLICATION FRAMEWORKS With nearly three decades of singular focus, NVIDIA is expert at accelerating software and scaling compute by a Million-X, going well beyond Moore’s law PLATFORM NVIDIA AI NVIDIA
Slide 5: What Is Accelerated Computing?
What Is Accelerated Computing? A full-stack approach: silicon, systems, software 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). Not just a superfast chip—accelerated computi
Slide 6: Why Accelerated Computing?
Why Accelerated Computing? Advancing computing in the post-Moore’s Law era 109 Trillions of Operations per Second (TOPS) 108 Accelerated computing is needed to tackle the most 107 GPU-Computing perf 1000X impactful opportunities of our time—like AI, climate 2X per year In 10 years simulation, drug d
Slide 7: 1000x AI Compute in Years
1000x AI Compute in 8 Years Blackwell 20,000 TFLOPS FP4 TFLOPS Hopper 4,000 TFLOPS FP8 Ampere Pascal Volta 620 TFLOPS 19 TFLOPS 130 TFLOPS BF16/FP16 FP16 FP16 2016 2017 2020 2022 2024
Slide 8: Waves of Adoption of Accelerated Computing
Waves of Adoption of Accelerated Computing A generational computing platform shift A new computing era has begun Accelerated computing enabled the rise of AI, Industrial which is driving a platform shift from general Digitalization purpose to accelerated computing, and enabling new, never-before-pos
Slide 9: NVIDIA Accelerated Computing for Every Wave
NVIDIA Accelerated Computing for Every Wave NVIDIA Omniverse is a software platform for designing, building, and operating 3D and virtual world simulations. It harnesses the power of NVIDIA graphics and AI technologies Industrial and runs on NVIDIA-powered data centers and workstations. Digitalizati
Slide 10: NVIDIA's Accelerated Computing Ecosystem
NVIDIA’s Accelerated Computing Ecosystem Developers CUDA Downloads* • The NVIDIA accelerated computing platform has 5.1M 53M attracted the largest ecosystem of developers, 2.5M 26M supporting a rapidly growing universe of applications and industry innovation 2021 2024 2021 2024 • Developers can enga
Slide 11: NVIDIA's Multi-Sided Platform and Flywheel
NVIDIA’s Multi-Sided Platform and Flywheel The virtuous cycle of NVIDIA’s accelerated computing starts with an Scale installed base of several hundred million GPUs, all compatible with the CUDA programming model R&D $ • For developers—NVIDIA’s one architecture and large installed base Installed Base
Slide 12: Huge ROI From AI Driving a Powerful New Investment Cycle
Huge ROI From AI Driving a Powerful New Investment Cycle AI 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—addi
Slide 13: Generative AI
Generative AI The most important computing platform of our generation TEXT IMAGE Learn and Understand TEXT Everything VIDEO The era of generative AI has arrived, unlocking new IMAGE IMAGE opportunities for AI across many different applications Generative AI is trained on large amounts of data VIDEO
Slide 14: Modern AI Is a Data Center Scale Computing Workload
Modern AI Is a Data Center Scale Computing Workload Data centers are becoming AI factories: Data as input, intelligence as output Large Language Models, based on the Transformer architecture, 1010 GPT-MoE-1.8T are one of today’s most important advanced AI technologies, involving up to trillions of p
Slide 15: Full-Stack & Data Center Scale Acceleration
Full-Stack & Data Center Scale Acceleration Drive significant cost savings and workload scaling Classical Computing—960 CPU-only servers Accelerated Computing—2 GPU servers Application Application Re-Engineered for Acceleration CPU server racks CUDA-X Acceleration Libraries Magnum IO 25X lower cost
Slide 16: The High ROI of High Compute Performance
The High ROI of High Compute Performance $1 upfront investment in NVIDIA compute and networking can translate to $5 in CSP revenue over 4 years 4-Year Rental Opportunity @$4 per GPU-HR ~$2.5B Rental 4-Year Cost of AI Infrastructure ~$1B 16K GPU Cost DC Facility Build & Operate GPU Compute 25% Perfor
Slide 17: Powering the AI Industrial Revolution
Powering the AI Industrial Revolution Building and running enterprise Gen AI applications NVIDIA AI Foundation Pre-Trained LLMs Cloud DGX Cloud NVIDIA Enterprise On-Prem Enterprise DGX Cloud AI Chatbot Cloud AI with “RAG” APIs NVIDIA AI Enterprise Enterprise SaaS Enterprise AI chatbots & AI Platform
Slide 18: The NVIDIA AI Foundry Model on DGX Cloud
The NVIDIA AI Foundry Model on DGX Cloud For building enterprise AI applications Pre-trained LLMs NVIDIA’s “AI foundry” service leverages our AI infrastructure and expertise to build custom AI models for enterprise customers— analogous to a semiconductor foundry that uses its infrastructure and expe
Slide 19: AI Factories—A New Class of Data Centers
AI Factories—A New Class of Data Centers For running enterprise AI applications AI factories are next-generation data centers that host advanced, full-stack accelerated computing platforms for NVIDIA AI Enterprise the most computationally intensive tasks, where data comes in and intelligence comes o
Slide 20: NVIDIA AI Enterprise
NVIDIA AI Enterprise The operating system for enterprise AI NVIDIA AI Enterprise Run Anywhere NVIDIA AI Enterprise is software for deploying and running AI with enterprise-grade security, API stability, manageability and support. Cloud-native and available in every major cloud marketplace. Certified
Slide 21: NVIDIA AI Enterprise
NVIDIA AI Enterprise Broad and deep ecosystem and distribution to reach every enterprise GSI & Service Delivery AI Platforms Software Platforms Private Cloud Public Cloud Marketplaces Server OEMs
Slide 22: NVIDIA Inference Microservice (NIM)
NVIDIA Inference Microservice (NIM) Extending reach of the platform, connecting millions of developers to hundreds of millions of CUDA GPUs in the installed base Industry Standard APIs Text, Speech, Image, Video, 3D, Biology TensorRT LLM and Triton cuBLAS , cuDNN, In-Flight Batching, Triton Inferenc
Slide 23: NVIDIA Go-to-Market Across Cloud and On-Premises
NVIDIA Go-to-Market Across Cloud and On-Premises Reaching customers everywhere DGX Cloud DGX NVIDIA AI Foundations - Cloud services for customizing and operating generative AI models Partners HGX INFERENCE MGX AGX IGX Cloud On-Prem
Slide 24: Driving Strong & Profitable Growth
Driving Strong & Profitable Growth Operating Income (Non-GAAP, $M) Operating Margin (Non-GAAP) Revenue ($M) $45,000 $37,134 $37,997 70% $36,000 68% $60,922 60% $27,000 $56,084 61% $12,690 50% $18,000 $6,803 $9,040 $3,735 47% 34% 40% $9,000 34% 41% $0 30% FY20 FY21 FY22 FY23 FY24 YTD FY25 Fiscal year
Slide 25: NVIDIA Gross Margins Reflect Value of Acceleration
NVIDIA Gross Margins Reflect Value of Acceleration Gross Profit (Non-GAAP, $M) Gross Margin (Non-GAAP) Accelerated computing requires full-stack and data $48,000 90% center-scale innovation across silicon, systems, $44,959 $43,288 algorithms and applications. $42,000 85% $36,000 80% Significant expe
Slide 26: Strong Cash Flow Generation
Strong Cash Flow Generation 35.0 Free Cash Flow (Non-GAAP) Capital Allocation 30.0 $26.9B $28.4B Share Repurchase Utilized $14.9B of cash for repurchases in H1 FY25 25.0 Additional $50B in stock repurchase authorization, adding to $7.5B which remained as of the end of Q2 20.0 15.0 Dividend $344M in
Slide 27: Our Market Platforms at a Glance
Our Market Platforms at a Glance Data Center Gaming Professional Visualization Automotive 78% of FY24 Revenue 17% of FY24 Revenue 3% of FY24 Revenue 2% of FY24 Revenue FY24 Revenue $47.5B FY24 Revenue $10.4B FY24 Revenue $1.6B FY24 Revenue $1.1B 5-YR CAGR 75% 5-YR CAGR 11% 5-YR CAGR 7% 5-YR CAGR 11%
Slide 28: Data Center
Data Center The leading accelerated computing platform Revenue ($M) Leader in AI & HPC 75% 5-YR CAGR #1 in AI training and inference Through FY24 Used by all hyperscale and major cloud computing $48,835 $47,525 providers and over 40,000 companies Powers over 75% of the TOP500 supercomputers Growth D
Slide 29: NVIDIA Blackwell Platform
NVIDIA Blackwell Platform Spectrum X800 Switch Quantum X800 Switch BlueField-3 SuperNIC ConnectX-8 SuperNIC GB200 Superchip Compute Node NVLINK Switch HGX B100
Slide 30: Gaming
Gaming GeForce—the world’s largest gaming platform Revenue ($M) Leader in PC Gaming 11% 5-YR CAGR Strong #1 market position Through FY24 $12,462 15 of the top 15 most popular GPUs on Steam $10,447 Leading performance & innovation $9,067 200M+ gamers on GeForce $7,759 $5,518 $5,527 Growth Drivers Ris
Slide 31: GeForce Extends Growth, Large Upgrade Opportunity
GeForce Extends Growth, Large Upgrade Opportunity GeForce Gaming Revenue Installed Base $699+ Cumulative Sell-Through $ NVIDIA 13% CAGR RTX Ada 53% RTX NVIDIA 3YR CAGR Ampere ASP 16% Units -2% 3060+ NVIDIA Turing 25% RTX3060+ Performance 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 FY21 FY24 W
Slide 32: Professional Visualization
Professional Visualization Workstation graphics Revenue ($M) Leader in Workstation Graphics 7% 5-YR CAGR 95%+ market share in graphics Through FY24 $2,111 for workstations 45M Designers and Creators Strong software ecosystem with over 100 RTX $1,544 $1,553 accelerated and supported applications $1,2
Slide 33: Automotive
Automotive Autonomous vehicle and AI cockpit Revenue ($M) Leader in Autonomous Driving 11% 5-YR CAGR NVIDIA DRIVE is our end-to-end Autonomous Vehicle (AV) and Through FY24 AI Cockpit platform featuring a full software stack and is $1,091 powered by NVIDIA (systems-on-a-chip) SoCs in the vehicle DRI
Slide 34: $1 Trillion Long-Term Available Market Opportunity
$1 Trillion Long-Term Available Market Opportunity Omniverse Enterprise $150B Industrial Digitalization Autonomous Machines Autonomous Vehicles $300B & Robotics NVIDIA AI Enterprise & DGX Cloud Enterprise $150B Gaming Data Center Systems $100B $300B Cloud Service Providers & Consumer Internet
Slide 35: Financials
Financials
Slide 36: Annual Cash & Cash Flow Metrics
Annual Cash & Cash Flow Metrics Operating Income (Non-GAAP)—$M Operating Cash Flow—$M 37,134 28,090 12,690 9,108 9,040 5,822 5,641 6,803 4,761 3,735 FY20 FY21 FY22 FY23 FY24 FY20 FY21 FY22 FY23 FY24 Free Cash Flow (Non-GAAP)—$M Cash Balance—$M 26,947 25,984 21,208 13,296 10,897 11,561 8,049 4,272 4,
Slide 37: Corporate Sustainability
Corporate Sustainability Environmentally Conscious A Place For People To Do Their Life’s Work Management Fast Company Magazine’s World’s 50 Most Innovative Companies “Best Places to Work” Fortune’s World’s Most Admired Companies NVIDIA Blackwell GPUs are as much as 20X more GLASSDOOR energy efficien
Slide 38: Reconciliation of Non-GAAP to GAAP Financial Measures
Reconciliation of Non-GAAP to GAAP Financial Measures
Slide 39: Reconciliation of Non-GAAP to GAAP Financial Measures
Reconciliation of Non-GAAP to GAAP Financial Measures Gross Margin Acquisition-Related Stock-Based Other ($ in Millions & Non-GAAP and Other Costs Compensation GAAP (C) Margin Percentage) (A) (B) $6,821 — (39) (14) $6,768 FY 2020 62.5% — (0.4) (0.1) 62.0% $10,947 (425) (88) (38) $10,396 FY 2021 65.6
Slide 40: Reconciliation of Non-GAAP to GAAP Financial Measures (contd.)
Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Operating Income Acquisition-Related Stock-Based and Margin Acquisition Other Non-GAAP and Other Costs Compensation GAAP ($ in Millions & Termination Cost (C) (A) (B) Margin Percentage) $3,735 — (31) (844) (14) $2,846 FY 2020 34.2% — (0.
Slide 41: Reconciliation of Non-GAAP to GAAP Financial Measures (contd.)
Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Principal Payments Purchases Related to Net Cash on Property ($ in Millions) Free Cash Flow Property and Equipment Provided by and Equipment and Intangible Assets Operating Activities and Intangible Assets FY 2020 $4,272 489 — $4,761 FY
Slide 42: NVIDIA
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