Nvidia Corporation · NASDAQ:NVDA

Nvidia — Investor Presentation (May 2025)

40 slides from Nvidia's investor presentation, May 2025

  1. Slide 1: Company Overview

    NVIDIA Company Overview May 2025

  2. Slide 2: Forward-looking statements

    Certain matters in this presentation including, but not limited to, statements as to: expectations with respect to growth, performance and benefits of NVIDIA’s products, services, and technologies, including Blackwell, and related trends and drivers; expectations with respect to supply and demand fo

  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: Computing at Inflection Point

    Computing at Inflection Point $1,000 $1T+ $750 NVIDIA DC Revenue Data Center Capex $500 (Dell’Oro Projections) $250 2022 2023 2024 2025 2026 2027 2028

  8. Slide 8: NVIDIA's Accelerated Computing Ecosystem

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

  9. Slide 9: 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 knowledge $700B in digital 50M creators workers advertising annually globally AI A

  10. Slide 10: 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 opportunities for AI across many different applications. IMAGE IMAGE Generative AI is trained on large amounts of data VIDEO

  11. Slide 11: Blackwell 40X Hopper Inference Performance

    Blackwell 40X Hopper Inference Performance NVLink flops per watt ~ AI factory output 100 MW AI Factory H100 NVL8 GB200 NVL72 GPU Dies 45K 85K Racks 1,400 600 Data Center Productivity 300M 12,000M 40X More Token Revenue DeepSeek R1 Context and Generation, , ISL=32K, OSL=8K @ Pareto optimal TPS/User

  12. Slide 12: 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

  13. Slide 13: 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 and InfiniBand / Spectrum-X AI Performance InfiniBand NVIDIA Spectrum-X AI Ethernet Fabric Traditional Ethernet NVIDIA NVI

  14. Slide 14: 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 across Computer Vision major workloads CV-CUDA, Deepstream, TAO, Holoscan, cuCIM, ~200X Tensor

  15. Slide 15: Accelerated Computing Is Sustainable Computing

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

  16. Slide 16: AI Scaling Laws Drive Exponential Demand for Compute

    AI Scaling Laws Drive Exponential Demand for Compute Step 1 Step 2 Step 3 From One to Three Scaling Laws LLM LLM LLM Test-Time Scaling “Long Thinking” Prompt Step 1 Step 2 “Intelligence” Reasoning AI Inference Compute Post-Training Scaling >100X One-Shot Pre-Training Scaling Perception AI Generative

  17. Slide 17: 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

  18. Slide 18: Blackwell 40X Hopper

    Blackwell 40X Hopper FP4 | NVL72 | Dynamo | TRT-LLM continuous optimization | 32K ISL/8K OSL 1,000,000 EP64PP2+PP4, Batch 480, 52% Context EP64PP2+PP4, Batch 224, 50% Context 900,000 EP64PP2+PP4, Batch 160, 48% Context EP64PP4+PP4, Batch 224, 46% Context 800,000 EP64PP4+PP4, Batch 160, 44% Context T

  19. Slide 19: 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

  20. Slide 20: 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

  21. Slide 21: NVIDIA AI Enterprise Enables IT Ecosystem to Build Agentic AI

    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

  22. Slide 22: Reinventing $500B Enterprise IT for the Age of AI

    Reinventing $500B Enterprise IT for the Age of AI AI OS Query KV $ Prefill Decode Infrastructure Compute Networking Storage

  23. Slide 23: Omniverse and AI Revolutionizing Manufacturing and Robotics

    NVIDIA Omniverse and AI Revolutionizing Manufacturing and 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 humano

  24. Slide 24: 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

  25. Slide 25: Driving Strong and Profitable Growth

    Driving Strong and Profitable Growth Revenue ($M) Operating Income (Non-GAAP, $M) Operating Margin (Non-GAAP) $90,000 70% 67% $130,497 $80,000 61% $86,789 $70,000 60% $60,000 53% $60,922 $50,000 50% $40,000 47% $37,134 $44,062 $30,000 41% $23,275 $26,914 $26,974 40% $20,000 34% $16,675 $12,690 $9,04

  26. Slide 26: Strong Cash Flow Generation

    Strong Cash Flow Generation Free Cash Flow (Non-GAAP) Capital Allocation $60.7B Share Repurchase Utilized $14.1B of cash for repurchases in Q1 FY26 $24.3B remaining authorization as of the end of Q1 $26.9B $26.1B Dividend $244M in Q1 FY26 Plan to Maintain1 $8.0B Strategic Investments $4.7B $3.8B Gro

  27. Slide 27: Our Market Platforms at a Glance

    Our Market Platforms at a Glance Data Center Gaming Professional Visualization Automotive 88% of FY25 Revenue 9% of FY25 Revenue 1% of FY25 Revenue 1% of FY25 Revenue FY25 Revenue $115.2B FY25 Revenue $11.4B FY25 Revenue $1.9B FY25 Revenue $1.7B 5-YR CAGR 108% 5-YR CAGR 16% 5-YR CAGR 9% 5-YR CAGR 19

  28. Slide 28: Data Center

    Data Center The leading accelerated computing platform Revenue ($M) Leader in AI and HPC 108% 5-YR CAGR No. 1 in AI training and inference Through FY25 $115,186 Used by all hyperscalers, major cloud computing providers, and over 40,000 companies Powers over 75% of the TOP500 supercomputers Growth Dr

  29. Slide 29: NVIDIA Paves Road to Gigawatt AI Factories

    NVIDIA Paves Road to Gigawatt AI Factories One-Year rhythm | Full-stack | One architecture | CUDA everywhere Feynman Blackwell Rubin COMPUTE Blackwell Blackwell Ultra Rubin Rubin Ultra Feynman 8S HBM3e 8S HBM3e 8S HBM4 16S HBM4e Next–Gen HBM Grace CPU Vera CPU Vera CPU NVLINK (SCALE-UP) 5th Gen NVL

  30. Slide 30: Gaming

    Gaming GeForce—world’s largest gaming platform Revenue ($M) Leader in PC Gaming 16% 5-YR CAGR Strong No. 1 market position Through FY25 15 of the top 15 most popular GPUs on Steam $12,462 Leading performance and innovation $10,447 200M+ gamers on GeForce $9,067 $11,350 $7,759 Growth Drivers $3,763 R

  31. Slide 31: Professional Visualization

    Professional Visualization Workstation graphics Revenue ($M) Leader in Workstation Graphics 9% 5-YR CAGR 95%+ market share in graphics for workstations Through FY25 45M designers and creators $2,111 Strong software ecosystem with over 100 RTX accelerated and supported applications $1,544 $1,553 $1,8

  32. Slide 32: Automotive

    Automotive Autonomous vehicles and AI cockpits Revenue ($M) Leader in Autonomous Driving 19% 5-YR CAGR NVIDIA DRIVE an end-to-end autonomous vehicle (AV) Through FY25 and AI cockpit platform featuring a full software stack and powered by NVIDIA SoCs (systems-on-a-chip) in vehicles DRIVE Orin SoC ram

  33. Slide 33: 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

  34. Slide 34: Financials

    Financials

  35. Slide 35: Annual Cash and Cash Flow Metrics

    Annual Cash and Cash Flow Metrics Operating Income (Non-GAAP)—$M Operating Cash Flow—$M 86,789 64,089 37,134 28,090 12,690 9,040 9,108 6,803 5,822 5,641 FY21 FY22 FY23 FY24 FY25 FY21 FY22 FY23 FY24 FY25 Free Cash Flow (Non-GAAP)—$M Cash Balance—$M 60,724 43,210 26,947 25,984 21,208 8,049 11,561 13,2

  36. Slide 36: Corporate Sustainability

    Corporate Sustainability Environmentally Conscious A Place for People to Do Their Life’s Work Management Fast Company Magazine’s World’s Most Innovative Companies “Best Places to Work” NVIDIA Blackwell platform delivers a 25X GLASSDOOR improvement in energy efficiency for LLM Fortune’s World’s Most

  37. Slide 37: Reconciliation of Non-GAAP to GAAP Financial Measures

    Reconciliation of Non-GAAP to GAAP Financial Measures

  38. Slide 38: Reconciliation of Non-GAAP to GAAP Financial Measures

    Reconciliation of Non-GAAP to GAAP Financial Measures Operating Income and Margin Acquisition-Related Stock-Based ($ in Millions and Acquisition and Other Costs Compensation Other Margin Percentage) Non-GAAP Termination Cost (A) (B) (C) GAAP $6,803 — (836) (1,397) (38) $4,532 FY 2021 40.8% — (5.0) (

  39. Slide 39: Reconciliation of Non-GAAP to GAAP Financial Measures (contd.)

    Reconciliation of Non-GAAP to GAAP Financial Measures (contd.) Purchases Related to Principal Payments on Property and Equipment Property and Equipment Net Cash Provided by ($ in Millions) Free Cash Flow and Intangible Assets and Intangible Assets Operating Activities FY 2021 $4,677 1,128 17 $5,822

  40. Slide 40: nVIDIA ——s—it*”

    nVIDIA ——s—it*”

NVIDIA — Investor Presentation (May 2025) on 6ix