Nvidia Corporation · NASDAQ:NVDA

Nvidia — Q3 2023 Earnings Presentation

62 slides from Nvidia's earnings presentation, Nov 16, 2022

  1. Slide 1: Investor Presentation Q3 FY23

    Investor Presentation Q3 FY23 November 21, 2022

  2. Slide 2: Forward-looking statements disclaimer

    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 and growth drivers; Gaming channel inventories being on track to approach normal levels exiting Q4; ou

  3. Slide 3: Content

    Content • Q3 FY23 Earnings Summary • Key Announcements This Quarter • NVIDIA Overview • Financials • Reconciliation of Non-GAAP to GAAP Financial Measures

  4. Slide 4: Q3 FY23 Earnings Summary

    Q3 FY23 Earnings Summary BEE

  5. Slide 5: Highlights

    Highlights • Record Data Center and Automotive revenue; Gaming and Pro Viz revenue declines on channel inventory corrections and challenging external conditions • Total revenue down 17% Y/Y to $5.93B, inline with outlook of $5.90B +/- 2% • Data Center up 31% Y/Y to $3.83B • Gaming down 51% Y/Y to $1

  6. Slide 6: Q3 FY23 Financial Summary

    Q3 FY23 Financial Summary GAAP Non-GAAP 9,500 Revenue($M) Non-GAAP GM 100.0% Q3 FY23 Y/Y Q/Q Q3 FY23 Y/Y Q/Q 8,500 $8,288 90.0% $7,643 7,500 Revenue $5,931 -17% -12% $5,931 -17% -12% $7,103 $6,704 80.0% 6,500 Gross Margin 53.6% -11.6 pts +10.1 pts 56.1% -10.9 pts +10.2 pts $5,931 5,500 70.0% 67.0% 6

  7. Slide 7: Data Center

    Data Center 31% Y/Y Highlights and 1% Q/Q • Very solid performance in the face of macroeconomic challenges, $3,833 $3,750 $3,806 new export controls, and lingering supply chain disruptions • Year-on-year, growth was driven primarily by leading US cloud $3,263 providers and a broadening set of consum

  8. Slide 8: Gaming

    Gaming Highlights • Decline reflects lower sell-in to partners to help align channel inventory levels with current demand expectations $3,620 $3,420 • We believe channel inventories are on track to approach normal $3,221 levels as we exit Q4 • Sell-through was relatively solid in the Americas and EM

  9. Slide 9: Professional Visualization

    Professional Visualization Highlights • Decline reflects lower sell-in to partners to help align channel $643 $622 inventory levels with current demand expectations $577 • Despite near-term challenges, long-term opportunity remains intact, fueled by AI, simulation, and computationally intensive $496

  10. Slide 10: Automotive

    Automotive Highlights 86% Y/Y and 14% Q/Q • Growth was driven by an increase in AI Automotive Solutions, as our customers’ DRIVE Orin-based production continues to ramp $251 • Volvo Cars unveiled the all-new flagship Volvo EX90 SUV powered $220 by the NVIDIA DRIVE platform • Other recently announced

  11. Slide 11: Sources & Uses of Cash

    Sources & Uses of Cash Highlights • Y/Y decrease reflects lower operating income, timing of supplier payments and inventory deliveries, partially offset by lower $3,033 supplier prepayments • Q/Q decrease reflects timing of supplier and other payments as well as inventory deliveries, partially offse

  12. Slide 12: Q4 FY23 Outlook

    Q4 FY23 Outlook Revenue $6.0 billion, plus or minus 2% Expect modest sequential growth, driven by Automotive, Gaming and Data Center Gross Margins 63.2% GAAP and 66.0% non-GAAP, plus or minus 50 basis points Operating Expense Approximately $2.56 billion GAAP and $1.78 billion non-GAAP Other Income &

  13. Slide 13: Key Announcements This Quarter

    Key Announcements This Quarter

  14. Slide 14: NVIDIA GeForce RTX 40 Series GPU Launch

    NVIDIA GeForce RTX 40 Series GPU Launch • Based on the new NVIDIA Ada Lovelace architecture, GeForce 40 Series GPUs deliver up to 4x the performance of the previous generation • Features DLSS 3, the neural rendering technology that uses AI to generate entire frames for faster gameplay • The initial

  15. Slide 15: NVIDIA H100 in Full Production

    NVIDIA H100 in Full Production • NVIDIA H100 is in full production, with global tech partners planning to roll out the first wave of products and services in Q4 • H100 delivers the same AI performance with 3.5x better energy efficiency and 3x lower total cost of ownership, while using 5x fewer serve

  16. Slide 16: Large Language Model Cloud Services

    Large Language Model (LLM) Cloud Services to Advance AI and Digital Biology • The NVIDIA NeMo LLM Service and the NVIDIA BioNeMo LLM Service enable developers to easily adapt LLMs and deploy customized AI applications • Applications include content generation, text summarization, chatbots, code deve

  17. Slide 17: NVIDIA Omniverse Computing Systems (OVX)

    NVIDIA Omniverse Computing Systems (OVX) • NVIDIA OVX systems—the graphics and simulation foundation for the metaverse—are designed to build 3D virtual worlds and to operate immersive digital twin simulations in NVIDIA Omniverse Enterprise • NVIDIA OVX is powered by NVIDIA L40 GPU based on Ada Lovel

  18. Slide 18: NVIDIA Omniverse Cloud Services

    NVIDIA Omniverse Cloud Services • NVIDIA’s first software- and infrastructure-as-a-service offering • A suite of cloud services for artists, developers and enterprise teams to design, publish, and operate metaverse applications anywhere • Omniverse Cloud services run on the Omniverse OVX for graphic

  19. Slide 19: NVIDIA DRIVE Thor Superchip

    NVIDIA DRIVE Thor Superchip • DRIVE Thor, with 2,000 teraflops of performance, unifies separate functions into a single architecture for greater efficiency and lower overall system cost. Functions include: • Automated and assisted driving • Parking • Driver and occupant monitoring • Digital instrume

  20. Slide 20: Jetson Orin Nano for Robotics

    Jetson Orin Nano for Robotics • The new Jetson Orin Nano system-on-module delivers up to 40 TOPS, or up to 80x the performance of the prior generation Jetson Nano, setting a new standard for entry-level edge AI and robotics • NVIDIA’s Jetson ecosystem includes 1 million developers, 6,000 customers a

  21. Slide 21: IGX Edge AI Platform

    IGX Edge AI Platform for Safe, Secure Autonomous Systems • The NVIDIA IGX platform brings advanced security and proactive safety to sensitive industries such as manufacturing, logistics and healthcare • Includes NVIDIA IGX Orin, a compact and energy- efficient AI system, and can run NVIDIA AI Enterp

  22. Slide 22: Oracle Adding More NVIDIA GPUs in OCI

    Oracle Adding Tens of Thousands More NVIDIA GPUs in OCI, Partnering to Speed AI Adoption • Oracle Cloud Infrastructure (OCI) is adding tens of thousands more NVIDIA GPUs, including the A100 and upcoming H100 • Provides enterprises a broad, easily accessible portfolio of options for AI training and i

  23. Slide 23: Meta's Grand Teton Brings NVIDIA Hopper to Its Data Centers

    Meta’s Next-Gen AI Platform, Grand Teton, Brings NVIDIA Hopper to Its Data Centers • Grand Teton uses NVIDIA H100 GPUs and offers 2x the network bandwidth and 4x the bandwidth between host processors and GPU accelerators compared to Meta’s prior Zion system • The added network bandwidth enables Meta

  24. Slide 24: Leadership in Latest MLPerf Training Benchmark

    Reinforcing NVIDIA’s Leadership in Latest MLPerf Training Benchmark What is MLPerf? MLPerf November 2022—AI Training • The industry’s first objective AI benchmark for measuring • Seventh consecutive top showing in training tests machine learning performance NVIDIA H100 GPUs set records across all en

  25. Slide 25: NVIDIA AI Adopted by Rescale

    NVIDIA AI Adopted by Rescale HPC-as-a-Service Platform • Rescale is adopting NVIDIA AI Enterprise and other software to address the industrial scientific community’s rising demand for AI in the cloud • Brings new capabilities to Rescale’s HPC-as-a- service offerings, which include simulation and eng

  26. Slide 26: NVIDIA Teams with Microsoft on Cloud AI Computer

    NVIDIA Teams with Microsoft to Build Massive Cloud AI Computer • Multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers to help enterprises train, deploy and scale AI, including large, state-of-the-art models • Microsoft Azure will incorporate the NVIDIA AI stack

  27. Slide 27: NVIDIA Overview

    NVIDIA Overview

  28. Slide 28: NVIDIA pioneered accelerated computing

    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 platform is installed in sever

  29. Slide 29: 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 compu

  30. Slide 30: 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 impactful opportunities of our time—like AI, climate 107 GPU-Computing perf 1000X simulation, drug discovery, ray tracing, a

  31. Slide 31: AI Is the Greatest Technology Force of Our Time

    AI Is the Greatest Technology Force of Our Time Data centers across industries will become AI factories AI has fundamentally changed what software can make and how you make software. Companies are processing & refining their data, making AI software—becoming intelligence manufacturers. Their data ce

  32. Slide 32: Building and Operating Metaverse Applications Is the Next Wave

    Building 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 metaverse

  33. Slide 33: NVIDIA's Accelerated Computing Platform

    NVIDIA’s Accelerated Computing Platform Full-stack innovation across silicon, systems and software AI APPLICATION FRAMEWORK 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. PLATFORMS NVIDIA HPC

  34. Slide 34: NVIDIA's Multi-Sided Platform and Flywheel

    NVIDIA’s Multi-Sided Platform and Flywheel NVIDIA is valued by every stakeholder in the ecosystem: 3.5 Million • For developers – NVIDIA’s One Architecture and large Full-Stack Developers installed base give developer’s software the best Expertise and Scale Wealth of Accelerated performance and grea

  35. Slide 35: Full-Stack & Data Center Scale Acceleration

    Full-Stack & Data Center Scale Acceleration Drive Significant Cost Savings and Workload Scaling Classical Computing—92 CPU-only servers Accelerated Computing—1 NVIDIA DGX A100 $3.3M (including switches, cables, racks) $220,000 DGX and $100,000 NVIDIA AI software Application Application Re-Engineered

  36. Slide 36: New NVIDIA Software and Services

    New NVIDIA Software and Services Enabling the World’s Enterprises to Revolutionize Industries with AI NVIDIA AI Enterprise NVIDIA Omniverse NVIDIA Nemo LLM NVIDIA BioNemo The operating engine of AI for A platform for designing, building, NVIDIA-hosted cloud service for NVIDIA-hosted cloud service fo

  37. Slide 37: Giant Market Opportunity

    Giant Market Opportunity Gaming & Metaverse Financial Services Healthcare Logistics Manufacturing Retail Transportation Gaming Over 3B gamers and creators, a quarter of them spending over $1 Trillion Opportunity $100/year for GPUs in desktops, laptops, cloud or consoles NVIDIA AI Omniverse NVIDIA AI

  38. Slide 38: Driving Strong & Profitable Growth

    Driving Strong & Profitable Growth $15,000 Operating Profit (Non-GAAP, $M) Operating Margin (Non-GAAP) 60% $12,690 Revenue ($M) $12,000 50% $9,000 $26,914 $6,803 47% $6,816 $6,000 $4,407 41% 40% $3,617 $3,735 YTD YTD $3,000 38% $20,923 37% 34% $0 33% 30% FY18 FY19 FY20 FY21 FY22 FY23 $16,675 Fiscal

  39. Slide 39: 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 center-scale innovation across silicon, systems, $18,000 $17,969 69% algorithms and applications. 67% 67% 66% Significant expertise and effort are

  40. Slide 40: Strong Cash Flow Generation

    Strong Cash Flow Generation Free Cash Flow (Non-GAAP) Capital Allocation $8.0B Share Repurchase Resumed Buybacks in Q1 FY 2023 $9.0B repurchased YTD FY23; $8.3B Remaining Authorization Through Dec 2023 as of Oct 30, 2022 $4.7B $4.3B Dividend $3.1B $400M in FY 2022 $2.9B Plan to Maintain1 $2.0B YTD Y

  41. Slide 41: Our Market Platforms at a Glance

    Our Market Platforms at a Glance Gaming Data Center Professional Visualization Automotive 46% of FY22 revenue 40% of FY22 revenue 8% of FY22 revenue 2% of FY22 revenue FY22 Revenue $12.5B FY22 Revenue $10.6B FY22 Revenue $2.1B FY22 Revenue $0.6B 5-yr CAGR 25% 5-yr CAGR 66% 5-yr CAGR 20% 5-yr CAGR 3%

  42. Slide 42: Data Center

    Data Center The leading computing platform for AI, HPC & graphics Revenue ($M) $11,389 Leader in AI & HPC $10,613 66% 5-YR CAGR #1 in AI training and inference Through FY22 Used by all hyperscale & major cloud computing providers and 35,000 organizations Powers 361 of the TOP500 supercomputers $6,69

  43. Slide 43: Data Center: Hyperscale Revenue

    Data Center Strong growth fueled by AI performance leadership and huge developer ecosystem CUDA Downloads—4.5X in 4 Yrs 90,000x 37M 2015 36,000 Mins (25 Days) Hyperscale Revenue K80 3x # of Developers—3.5X in 4 Yrs 2017 480 Mins V100 (8 Hours) 3.5M 2021 Accelerated Applications—5X in 4 Yrs 24 Second

  44. Slide 44: 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 AI Training Computational Requirements Fueling Giant-Scale AI Infrastructure NVIDIA compute & networking GPU | DPU | CPU 1010 All AI Models Excluding Transformers: 8x / 2

  45. Slide 45: Wave of New Data Center Products

    Wave of New Data Center Products Ramping new architectures for GPU, CPU and DPU H100 GPU Bluefield-3 DPU Grace CPU Superchip World’s Most Advanced Chip First 400 Gb/s DPU High Performance CPU for HPC and AI 80B Transistors Line-rate processing of software-defined 144 Cores | 740 SPECrate®2017_int_ba

  46. Slide 46: Gaming

    Gaming GeForce—the world’s largest gaming platform Revenue ($M) Leader in PC Gaming $12,462 25% 5-YR CAGR Strong #1 market position with over 80% share Through FY22 15 of the Top 15 most popular GPUs on Steam Leading performance & innovation 200M+ gamers on GeForce $7,759 $7,236 $6,246 $5,513 $5,518

  47. Slide 47: Strong Gaming Fundamentals

    Strong Gaming Fundamentals New generation, more gamers 77% 81% 350+ RTX Games and Applications 60% #1 #1 #1 #1 42% 3.1B Video App Photo App 3D App Broadcast App 2.3B PC Gamers Total Gamers Boomers Gen X Millennials Gen Z 2:30 4:25 6:50 7:20 Expanding reach to Hrs/Wk Hrs/Wk Hrs/Wk Hrs/Wk 110M Creator

  48. Slide 48: Professional Visualization

    Professional Visualization Workstation graphics Revenue ($M) Leader in Workstation Graphics 20% 5-YR CAGR 90%+ market share in graphics Through FY22 $2,111 for workstations 45M Designers and Creators Strong software ecosystem with over 100 supported applications $1,318 $1,212 $1,130 $1,053 $934 YTD

  49. Slide 49: Automotive

    Automotive Autonomous Vehicles (AV) & AI Cockpit Revenue ($M) Leader in Autonomous Driving Our Next Billion-Dollar Business Historical revenue driven largely by infotainment Over $11B design win pipeline across 40 customers Future growth primarily fueled by NVIDIA DRIVE, our AV and AI cockpit platfo

  50. Slide 50: Financials

    Financials

  51. Slide 51: Annual Cash & Cash Flow Metrics

    Annual Cash & Cash Flow Metrics Operating Income (Non-GAAP) — $M Operating Cash Flow — $M 12,690 9,108 5,822 6,803 4,761 3,502 3,743 4,407 3,617 3,735 FY18 FY19 FY20 FY21 FY22 FY18 FY19 FY20 FY21 FY22 Free Cash Flow (Non-GAAP) — $M Cash Balance — $M 8,049 21,208 4,677 4,272 10,897 11,561 2,909 3,143

  52. Slide 52: Corporate Responsibility

    Corporate Responsibility Environmentally Conscious A Place For People To Do Their Life’s Work Management Time Magazine’s 100 Most Influential Companies #1 CEO Magazine’s 10 Best CEOs NVIDIA's two HQ campuses have received Fortune’s World’s Most Admired Companies LEED Gold status Wall Street Journal’

  53. Slide 53: Reconciliation of Non-GAAP to GAAP Financial Measures

    Reconciliation of Non-GAAP to GAAP Financial Measures

  54. Slide 54: Reconciliation of Non-GAAP to GAAP Financial Measures

    Reconciliation of Non-GAAP to GAAP Financial Measures Acquisition- Acquisition Stock-Based Related and Other Tax Impact of Non-GAAP Termination Compensation GAAP Other Costs (C) Adjustments Cost (B) (A) Q3 FY23 $3,329 — (120) (32) — — $3,177 Gross margin ($ in million) 56.1% — (2.0) (0.5) — — 53.6%

  55. Slide 55: Reconciliation of Non-GAAP to GAAP Financial Measures (contd)

    Reconciliation of Non-GAAP to GAAP Financial Measures (contd) Acquisition-Related Stock-Based and Other Costs Compensation IP-Related Gross Margin Non-GAAP (A) (B) Costs GAAP Q3 FY2022 67.0% (1.2) (0.6) — 65.2% Q4 FY2022 67.0% (1.1) (0.5) — 65.4% Q1 FY2023 67.1% (1.1) (0.5) — 65.5% Q2 FY2023 45.9% (

  56. Slide 56: Reconciliation of Non-GAAP to GAAP Financial Measures (contd.)

    Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Acquisition-Related Stock-Based Gross Margin and Other Costs Compensation ($ in Millions & Margin Percentage) Non-GAAP (A) (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

  57. Slide 57: Reconciliation of Non-GAAP to GAAP Financial Measures

    Reconciliation of Non-GAAP to GAAP Financial Measures Acquisition-Related Stock-Based Gross Margin and Other Costs Compensation ($ in Millions & Margin Percentage) Non-GAAP (A) (B) IP-Related Costs GAAP $12,844 (258) (102) (8) $12.476 YTD Q3 FY2022 66.6% (1.4) (0.5) — 64.7% $11,966 (335) (108) — $11

  58. Slide 58: Reconciliation of Non-GAAP to GAAP Financial Measures (contd.)

    Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Operating Margin Acquisition-Related Stock-Based ($ in Millions & Non-GAAP and Other Costs Compensation Other GAAP Margin Percentage) (A) (B) $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

  59. Slide 59: Reconciliation of Non-GAAP to GAAP Financial Measures (contd.)

    Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Operating Margin Acquisition-Related Stock-Based Acquisition ($ in Millions & Non-GAAP and Other Costs Compensation Other GAAP Termination Cost Margin Percentage) (A) (B) YTD Q3 FY2022 $9,014 — (482) (1,453) (8) $7,071 46.8% — (2.6) (7.5

  60. Slide 60: Reconciliation of Non-GAAP to GAAP Financial Measures (contd.)

    Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Purchases Related to Principal Payments Net Cash ($ in Millions) Free Cash Flow Property and Equipment on Property Provided by and Intangible Assets and Equipment Operating Activities FY 2018 $2,909 593 — $3,502 FY 2019 $3,143 600 — $3,7

  61. Slide 61: Reconciliation of Non-GAAP to GAAP Financial Measures

    Reconciliation of Non-GAAP to GAAP Financial Measures ($ in Millions) Q4 FY23 Outlook Non-GAAP gross margin 66.0% Impact of stock-based compensation expense, acquisition-related costs, and other costs (2.8%) GAAP gross margin 63.2% Non-GAAP operating expenses $1,780 Impact of stock-based compensatio

  62. Slide 62: NVIDIA

    9 @INVIDIA.

NVIDIA — Q3 2023 Earnings Presentation on 6ix