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NVIDIA Analyst Day April 10, 2008 Safe Harbor

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Welcome to NVIDIA Analyst Day April 10, 2008 Safe Harbor Except for the historical information contained herein, certain matters set forth in today’s presentation including, but not limited to, statements as to: visual computing; the discrete GPU, integrated graphics and mobile devices; optimization of the PC; our strategies; our growth and growth factors; market opportunities; the features, benefits, capabilities and performance of our current and future products and technologies and consumer demands and expectations as well as other predictions and estimates are forward-looking statements within the meaning of the Private Securities Reform Act of 1995. These forward-looking statements and any other forward-looking statements that go beyond historical facts that are made today during the presentation, demonstrations or in response to questions are subject to risks and uncertainties that may cause actual results to differ materially. For a complete discussion of risk factors that could affect our present and future results, please refer to our Annual Report on Form 10-K for the fiscal year ended January 27, 2008 and from time to time in the reports we file with the Securities and Exchange Commission. All forward-looking statements are made as of today, based on the information currently available to us. Except as required by law, we assume no obligation to update any such statements. NVIDIA The Visual Computing Company First, graphics that we have all come to know and love today, I have news for you. It's coming to an end. Our multi-decade old 3D graphics rendering architecture that's based on a rasterization approach is no longer scalable and suitable for the demands of the future. Pat Gelsinger keynote, IDF Shanghai The Graphics Industry GPU 59% GPU Shipments 366 Million INTEL IGP 41% Source: Mercury Research The Graphics Industry GPU 59% CPU Shipments GPU Shipments 273 Million 366 Million INTEL IGP 41% Source: Mercury Research The Graphics Industry GPU CPU Shipments 73% 273 Million 73 Million Idle IGPs INTEL IGP 27% Source: Mercury Research Probably be no need [to purchase a dedicated graphics card in a short while]. Ron Fosner, Intel Graphics and Gaming Technologist, Shanghai IDF, 2008 10x IGP performance by 2010 Paul Otellini, Intel Analyst Day, March 2008 50 45 40 35 30 Intel 965g Intel G35 25 GeForce 9500GT 20 GeForce 9600GT GeForce 9800GTX 15 10 10x by 2010 5 0 FAIL Core 2 Duo E6550 No AA 3DMark06 Doom3 CoD4 No Aniso Filter Industry Truth: The Creator of Unreal Tournament 2004 says Intel is “incapable of running modern games.” Intel’s integrated graphics just don't work. I don't think they will ever work. All the Intel integrated graphics are still incapable of running any modern games. Tim Sweeney President Epic Games March 10, 2008 Intel GMA 3100 Can’t Properly Run Unplayable or Games with Problems 2/3 of Top Selling Games Sims2 Sim City 5 Call Of Duty 4 Half Life 2 Civilization IV Enemy Territory: Quake Wars Crysis Battlefield 2 Command & Conquer 3 Unreal Tournament 3 Battlefield 2142 The Witcher Bioshock Halo: Combat Evolved Guild Wars: Nightfall Medieval II: Total War Configuration: Microsoft Vista 32-bit World In Conflict Intel G33: Intel 15.8.0.1437 drivers Heroes Of Might & Magic V Core2 Duo, 2GB Memory Supreme Commander *based on NPD retail sales reports NVIDIA #1 with Gamers Source: Steam survey of 1.5M users NVIDIA Lead Growing through DirectX 10 Source: Steam survey, DX10 users only Multi-core processors [could] handle life-like animations, such as weather or effects better than dedicated GPUs. For instance, multi-core processors can handle the graphics tasks in a better manner than a high-end graphics board could ever do. Ron Fosner, Intel Graphics and Gaming Technologist, Shanghai IDF, 2008 3000% 2500% 2000% 1500% 1000% Relative 3DMark06 Performance3DMark06 Relative 500% GMA 3100 Core 2 Duo E4400 0% $113 $163 $240 $342 $999 Average Total GPU + CPU Spend Benchmark run at 1280x1024, 4xAA/8x AF. Upgrade CPU, Graphics Constant 3000% 2500% 2000% 1500% 1000% Relative 3DMark06 Performance3DMark06 Relative 500% GMA 3100 Core 2 Duo Core 2 Duo E6550 Core 2 Quad Q6600 Core 2 Quad QX9650 E4400 0% $113 $163 $240 $342 $999 Average Total GPU + CPU Spend Benchmark run at 1280x1024, 4xAA/8x AF. GPU Delivers 27x the Bang For Buck Upgrade CPU, Graphics Constant Upgrade GPU, CPU Constant 3000% GeForce 8800 GT 2500% 2000% GeForce 8600 GT 1500% 1000% GeForce 8400 GS Relative 3DMark06 Performance3DMark06 Relative 500% GMA 3100 Core 2 Duo Core 2 Duo E6550 Core 2 Quad Q6600 Core 2 Quad QX9650 E4400 0% $113 $163 $240 $342 $999 Average Total GPU + CPU Spend Benchmark run at 1280x1024, 4xAA/8x AF. See Appendix for system specs. Today’s Core2 Platform Next Gen Repackaging Optimized for Visual Computing PCIe Discrete Notebook Unit Share 12,000 100% 90% 80% 9,000 70% 60% 6,000 50% 40% 30% 3,000 20% 10% 0 0% FQ1'08 FQ2'08 FQ3'08 FQ4'08 FQ1'09 FQ2'09 FQ3'09 FQ4'09 NVIDIA TAM Market Share Historical data from Mercury Research FQ1’09 onward NVIDIA estimates Discrete Notebook Revenue Share $300 100% 90% 80% $225 70% 60% $150 50% 40% 30% $75 20% 10% $- 0% FQ1'08 FQ2'08 FQ3'08 FQ4'08 FQ1'09 FQ2'09 FQ3'09 FQ4'09 NVIDIA TAM Market Share Historical data from Mercury Research FQ1’09 onward NVIDIA estimates We are seeing a global movement to design PCs that are optimized for how we use them Visual Computing Enterprise Computing 1990s Today 1990s Today Optimized PC Advertisement from Best Buy circular January 27 issue, p21 Shockwaves Gateway Dell HP Sony P-6831 FX XPS M1530 dv9700t CR490EBR Price $1249 $1299 $1289 $1324 CPU 1.67GHz 2GHz 1.83GHz 2.5GHz Core 2 Duo Core 2 Duo Core 2 Duo Core 2 Duo GPU 8800 GTS 8400 GS 8400 GS Intel Integrated Performance 8000 1600 1600 500 3DMark06 3DMark06 estimates based on NVIDIA testing of similar graphics configurations Prices available online “… features exceptional graphics performance as its main focus …” “ … to give you high definition movie pleasure and smooth gaming fun …” “… superior graphic quality and HDMI display output allows for entertainment enjoyment in high definition.” Source: ASUS NVIDIA The Visual Computing Company GPU Growth Driven by Insatiable Visual Computing Demand 120% 14% Growth 110% 100% 7% Decline 90% Rekative Revenue Growth Relative Revenue Growth Revenue Relative 80% 2005 2007 CPU GPU Source: Mercury Research Programmable GPU Enables Heterogeneous Computing 4 cores Multi-Core plus Many-Cores Heterogeneous Computing Multi-Core plus Many-Core Core 2 Duo GeForce E8400 8800 GTS (Dual Core) (Many-Core) # of Cores 2 128 # of GFLOPS 48 576 The Power of Heterogeneous Computing Interactive visualization of Ionic placement for Transcoding HD video Isotropic turbulence Astrophysics nbody volumetric white matter molecular dynamics stream to H.264 for simulation in Matlab using simulation5 connectivity1 simulation on GPU2 portable video3 .mex file CUDA function4 Financial simulation of GLAME@lab: An M-script Ultrasound medical Highly optimized object Cmatch exact string LIBOR Model with API for Linear Algebra imaging for cancer oriented molecular matching to find similar swaptions6 Operations on GPU7 diagnostics8 dynamics9 proteins and gene sequences10 Computer Industry Luminaries Driving the Heterogeneous Computing Movement “Many applications can run orders of magnitude faster on a heterogeneous CPU+GPU system today. CUDA has been shown to be a very effective programming model for heterogeneous computing.” - Wen-Mei Hwu, University of Illinois at Urbana-Champaign “One reason to have different „sized‟ processors in a many-core architecture is to improve parallel speedup ....” - David Patterson, Berkeley CUDA GPUs GPU CPU Heterogeneous Computing Oil & Gas Finance Medical Biophysics Numerics Audio Video Imaging Speed Power Many-Core ILLIAC IV Maspar Blue Gene Cray-1 Thinking Machines Multi-Core DEC PDP-1 IBM System 360 IBM POWER4 Intel 4004 VAX Many-Core Computing 4 cores 128 cores 512 cores 4 cores Many-Core Thread Management 80 GigaBytes/sec To Data Application Software Industry Standard C Language Numerics Engine FFT BLAS CuDPP System CUDA Compiler CUDA Tools 1U PCI-E Switch C Fortran Debugger Profiler 4 cores nbody Demo on CPU and GPU 300 250 200 150 100 50 0 CPU1 mGPU2 Mobile3 Desktop4 GPU GPU Source: NVIDIA See appendix for system specs CUDA Platforms 512-Core 1U System 128-Core Processor Card 8-Core mGPU Speed Power Power Performance - VMD 18 16 14 Billions of Evaluations 12 Per Watt 10 8 6 4 2 0 V8 QX6850 E6850 3x8800 2x8800 8800 Ultra 8800 Ultra 8800 GTX 8800 GTS 8600 GTS 8600 GT 8500 GT 8400 GS GTX GTX eVGA http://www.hardware.fr/articles/678-8/nvidia-cuda-plus-pratique.html Bob Keller President and CEO, Silicon Informatics AutoDock: Software Used for Drug Discovery AutoDock: Finds ways to fit or dock small molecules into proteins Tries millions of different configurations Used for virtual screening of new drug leads Determine if drug molecules can dock into proteins of bacteria Like finding the right key out of a pile of millions of different keys Used by thousands of institutions worldwide Authored by Scripps Research Institute Accelerating AutoDock with CUDA Silicon Informatics created siAutoDock Implemented key kernels in CUDA National Cancer Institute reports 12x speedup Run went from 2 hours to 10 minutes Speed-up expected to scale linearly with multiple GPUs “We can only hope that in the long run, Silicon Informatics' efforts will accelerate the discovery of new drugs to treat a wide range of diseases, from cancer to Alzheimer's, HIV to malaria.” Dr. Garrett Morris, Scripps,
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