Nvidia Corporation · NASDAQ:NVDA

Nvidia — Investor Presentation (November 2024)

37 slides from Nvidia's investor presentation, November 2024

  1. Slide 1: Company Overview

    Company Overview November 2024

  2. 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, growth, and growth drivers; our financial outlook; our dividend program; the benefits, impact

  3. Slide 3: NVIDIA

    NVIDIA NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, revolutionized accelerated computing, ignited the era of modern AI, and is fueling industrial digitalization across markets. Today, two transitions are occurring simultaneously—accel

  4. Slide 4: NVIDIA's Accelerated Computing Platform

    NVIDIA’s Accelerated Computing Platform Data center scale innovation across chips, networking, systems, software, and algorithms Omniverse CUDA-Accelerated Physical AI Libraries CUDA-X Libraries NIM CUDA • DOCA • NCCL CUDA-Accelerated Cluster-Scale Software Accelerated Agentic AI Libraries System So

  5. 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

  6. 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 1,000X impactful opportunities of our time—like AI, climate 2X per year In 10 years simulation, drug

  7. Slide 7: NVIDIA's Accelerated Computing Ecosystem

    NVIDIA’s Accelerated Computing Ecosystem Developers CUDA Downloads* 5.1M 53M 2.5M 26M • The NVIDIA accelerated computing platform has attracted the 2021 2024 2021 2024 largest ecosystem of developers, supporting a rapidly growing universe of applications and industry innovation. • Developers can eng

  8. Slide 8: AI Driving a Powerful Investment Cycle and Significant Returns

    AI Driving a Powerful Investment Cycle and Significant Returns AI can augment creativity and productivity by orders of magnitude across industries AI Agents & Copilots Search & Social Media AI Content Creation Over 1B $700B in 50M creators knowledge workers digital advertising annually globally AI A

  9. Slide 9: Generative AI

    Generative AI The most important computing platform of our generation TEXT IMAGE The era of generative AI has arrived, unlocking new opportunities for AI across Learn and Understand TEXT Everything VIDEO many different applications. IMAGE IMAGE Generative AI is trained on large amounts of data to fi

  10. Slide 10: Delivering Tremendous Value to Customers

    Delivering Tremendous Value to Customers Significant reduction in TCO with each generation Hopper | 8,000 GPUs | 15MW Blackwell GB200 NVL72 | 2,000 GPUs | 4MW​ 4X Reduction in Power LLM Training Workload: GPT-MoE-1.8T | Train in 90 days | H100 vs GB200 NVL72

  11. Slide 11: AI Factories—A New Class of Data Centers

    AI Factories—A New Class of Data Centers Production of digital intelligence tokens AI factories are a new form of computing infrastructure. Their purpose is not to store user and company data or run ERP and CRM applications. AI factories are highly optimized systems purpose-built to process raw data

  12. Slide 12: Extending NVIDIA Networking to Scale Up & Scale Out AI

    Extending NVIDIA Networking to Scale Up & Scale Out AI in Any Data Center New NVLink and Spectrum-X increase networking opportunity beyond InfiniBand to every data center NVLink + InfiniBand / Spectrum-X AI Performance InfiniBand NVIDIA Spectrum-X AI Ethernet Fabric Traditional Ethernet NVIDIA NVIDI

  13. Slide 13: Accelerated Computing Starts With CUDA Libraries

    Data Processing Accelerated Computing ~200X cuVS, cuDF-Spark, cuDF-pandas, cuDF-Polars, cuGraph, cuML, XGBoost, RAPIDS, NeMo Curator, Starts With CUDA Libraries cuSOLVER, cuIO Delivering up to 200X speedup Computer Vision across major workloads CV-CUDA, Deepstream, TAO, Holoscan, cuCIM, ~200X Tensor

  14. Slide 14: Accelerated Computing Is Sustainable Computing

    Accelerated Computing Is Sustainable Computing Order of magnitude more energy efficient Accelerated computing requires higher peak Accelerated computing enables full-stack power consumption than CPUs, however, optimization from algorithm to GPU architecture, completes workloads significantly faster

  15. Slide 15: AI Scaling Laws Drive Exponential Demand for Compute

    AI Scaling Laws Drive Exponential Demand for Compute New OpenAI o1 Long “thinking time” creates a new way to scale Training compute scales exponentially with larger models, multimodality, reinforcement learning, and synthetic Training data generation Compute Inference compute scales exponentially wi

  16. Slide 16: NVIDIA Is the Leading Inference Platform

    NVIDIA Is the Leading Inference Platform Inference compute scales exponentially with “long thinking” Hopper inference performance increased Installed base & CUDA ➔ rapid software innovation Inference compute scaling exponentially with 5X in 1 year with rapid algorithm innovations ➔ performance ➔ low

  17. Slide 17: NVIDIA NVLink Enables New Level of AI Training & Inference Scaling

    NVIDIA NVLink Enables New Level of AI Training & Inference Scaling NVLink Switch GB200 NVL72 NVLink Switches 130 TB/s All-to-All BW One Giant Blackwell 1.44 EF FP4 576TB/s HBM3e

  18. Slide 18: NVIDIA AI Platform and Ecosystem Reaches Every Market

    NVIDIA AI Platform and Ecosystem Reaches Every Market Every workload to address the world’s industries Data Post Agentic AI Robotic AI Pre- Training Training Inference Inference Processing e.g., SDG Social Heavy Media Industries SaaS Platforms Full-Stack Compute-to-Networking Ecosystem Every Cloud E

  19. Slide 19: NVIDIA AI Enterprise Enables IT Ecosystem

    NVIDIA AI Enterprise Enables IT Ecosystem With State-of-the-Art AI Models and Libraries to Build Agentic AI NVIDIA AI Enterprise Ecosystem System Integrators User ... AI Agent Enterprise ISVs Structured Database ... NVIDIA NIM Action Data Platforms NVIDIA NeMo Retriever Vector Database ... Data Flyw

  20. Slide 20: NVIDIA Omniverse and AI Revolutionizing Manufacturing & Robotics

    NVIDIA Omniverse and AI Revolutionizing Manufacturing & Robotics 100M Cars Billions in Future The next AI wave is physical AI—models that can perceive, understand, and interact with the physical world. Physical AI will embody robotic systems—from autonomous vehicles to industrial robots and humanoid

  21. Slide 21: Sovereign AI

    Sovereign AI Nations produce AI using their own data, infrastructure, workforce, and business networks Sovereign AI Nations are awakening to the imperative to produce AI using their own infrastructure, data, workforces, and business networks. Nations are building domestic computing capacity. Some go

  22. Slide 22: Driving Strong and Profitable Growth

    Driving Strong and Profitable Growth Revenue ($M) Operating Income (Non-GAAP, $M) Operating Margin (Non-GAAP) $91,166 $61,272 70% 67% $72,000 $37,134 61% $63,000 60% $60,922 $54,000 $45,000 $12,690 50% $36,000 47% $6,803 $26,914 $26,974 $27,000 41% $9,040 34% 40% $16,675 $18,000 $3,735 $10,918 34% $

  23. Slide 23: Strong Cash Flow Generation

    Strong Cash Flow Generation Free Cash Flow (Non-GAAP) Capital Allocation $45.2B Share Repurchase Utilized $25.9B of cash for repurchases in the first nine months of FY25 $46.4B remaining authorization as of the end of Q3 $26.9B Dividend $589M in the first nine months of FY25 Dividend increased by 15

  24. Slide 24: 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%

  25. Slide 25: Data Center

    Data Center The leading accelerated computing platform Revenue ($M) Leader in AI and HPC 75% 5-YR CAGR No. 1 in AI training and inference Through FY24 $79,606 Used by all hyperscalers, major cloud computing providers, and over 40,000 companies Powers over 75% of the TOP500 supercomputers $47,525 Gro

  26. Slide 26: One-Year Rhythm | Supercluster Scale | Full-Stack | CUDA Everywhere

    One-Year Rhythm | Supercluster Scale | Full-Stack | CUDA Everywhere Supercharge AI scaling law X-Factors X-Factors X-Factors Hopper Blackwell Blackwell-Ultra Rubin Hopper GPU Hopper+ GPU Rubin GPU Rubin Ultra GPU Blackwell Ultra GPU 8S HBM4 12S HBM4 6S HBM3 6S HBM3e 288GB HBM3e More AI FLOPS Vera CP

  27. Slide 27: Gaming

    Gaming GeForce—world’s largest gaming platform Revenue ($M) Leader in PC Gaming 11% 5-YR CAGR Strong No. 1 market position Through FY24 $12,462 15 of the top 15 most popular GPUs on Steam $10,447 Leading performance and innovation $9,067 200M+ gamers on GeForce $8,806 $7,759 $5,518 Growth Drivers Ri

  28. Slide 28: Professional Visualization

    Professional Visualization Workstation graphics Revenue ($M) Leader in Workstation Graphics 7% 5-YR CAGR 95%+ market share in graphics for workstations Through FY24 $2,111 45M designers and creators Strong software ecosystem with over 100 RTX accelerated and supported applications $1,544 $1,553 $1,3

  29. Slide 29: Automotive

    Automotive Autonomous vehicles and AI cockpits Revenue ($M) Leader in Autonomous Driving 11% 5-YR CAGR NVIDIA DRIVE an end-to-end autonomous vehicle (AV) Through FY24 and AI cockpit platform featuring a full software stack and $1,124 $1,091 powered by NVIDIA SoCs (systems-on-a-chip) in vehicles DRIV

  30. Slide 30: Accelerated Computing and Generative AI Create Trillion-Dollar Opportunities

    Accelerated Computing and Generative AI Create Trillion-Dollar Opportunities The $1T installed base of general-purpose CPU data center infrastructure is being modernized to a new GPU-accelerated computing paradigm. The entire computing stack has been reinvented— from CPU to GPU, from coding to machi

  31. Slide 31: Financials

    Financials

  32. Slide 32: 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,

  33. Slide 33: 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

  34. Slide 34: Reconciliation of Non-GAAP to GAAP Financial Measures

    Reconciliation of Non-GAAP to GAAP Financial Measures

  35. Slide 35: Reconciliation of Non-GAAP to GAAP Financial Measures

    Reconciliation of Non-GAAP to GAAP Financial Measures 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% — (0.3) (7.7)

  36. Slide 36: 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

  37. Slide 37: nVIDIA st”

    nVIDIA st”

NVIDIA — Investor Presentation (November 2024) on 6ix