AGM 2014

May 23, 2014

Slides

Welcome to our 2014 shareholder meeting. My name is Chris Evenden, and I am NVIDIA's Senior Director, Investor Relations. In addition to the live audience that we have here today, we have stockholders attending online. If you're attending this meeting in person, you can vote your shares at the back of this room until the polls close. If you're attending online, you can vote your shares online until the polls close. In addition, when we get to the question and answer session later in the meeting, we will be taking questions from those stockholders attending online as well as those attending here in person. You should all have a copy of the rules of conduct for this meeting. In order to conduct an orderly meeting, we ask that the participants follow these rules. As stated in the rules of conduct, stockholders should not address the meeting until recognized by the Chairman. Should you desire to ask a question or speak during the meeting, please raise your hand. After being recognized, please identify yourself and your status as a stockholder or proxy holder and then state your comment or ask your question. As stated in the rules of conduct, please limit your remark or question to corporate business and to 1 per stockholder. Members from NVIDIA today are here today are Jen Hsun Huang, President and Chief Executive Officer David Shannon, Executive Vice President, Chief Administrative Officer and Secretary and Colette Kress, Executive Vice President and Chief Financial Officer. Before I turn the meeting over to Jensen, I would also like to take the opportunity to introduce certain outside members of our Board of Directors that are present today. Ladies and gentlemen, please stand as I mention your name. Rob Burgess, Rob Trench Cox, Jim Gaither, Dawn Hudson, Harvey Jones, William Miller, Mark Perry and Mark Stevens. Thank you. I'd also like to introduce Wayne Hedden from PricewaterhouseCooper, our independent registered public accounting firm. At the end of the formal portion of the meeting, Jensen will give a presentation. There will be time at the end of the presentation for general questions from both those attending in person as well as those attending online. However, we will not provide any updates to our financial outlook. During the course of this meeting, we may make forward looking statements based on current expectations. These forward looking statements are subject to a number of significant risks and uncertainties, and our actual results may differ materially. A discussion of factors that could affect our future financial results and business, please refer to our Form 10 Q for the quarterly period ending April 27, 2014, and the reports we may file from time to time on Form 8 ks filed with the Securities and Exchange Commission. All our statements are made as of today, May 23, 2014, based on information available to us as of today. And except as required by law, we assume no obligation to update any such statements. During this meeting, we will discuss some non GAAP financial measures. You can find a reconciliation of these non GAAP financial measures to GAAP in our financial release, which is posted on our website. I would like now to turn the meeting over to Jensen. Thanks, Chris. Good morning, and welcome to our 2014 Stockholders Meeting. The meeting will now officially come to order. I will serve as Chairman and David Shannon will serve as Secretary at the meeting. David, can you report on the mailing of the meeting notice and the stockholder list? I have a complete list of the stockholders of record of NVIDIA's common stock on March 25, 2014, the record date for this meeting. I also have an affidavit from Broadridge certifying that they commence the mailing of the relevant proxy 2014 to each stockholder of record at the close of business on the record date. Thank you, David. At this time, I'm appointing Eric Jensen of Culea LLP, our outside legal counsel to act as the Inspector of Elections at this meeting. Eric, please raise your hand. David, can you describe the duties of the Inspector and also cover the status of a quorum for this meeting? Yes. As the inspector of elections, Eric will decide on the qualifications of voters accept their votes and tally the final votes when balloting on all matters is completed. Eric has taken and subscribed the customary oath of office and will file this oath with the records of the meeting. As to a quorum, our bylaws provide that the presence in person or by proxy of a majority of the shares entitled to vote at the meeting will constitute a quorum. Eric has informed me that proxies have been received for approximately 81% of the total number of outstanding shares on that date, which represents approximately 453,000,000 of the approximately 557,000,000 shares outstanding. This constitutes a quorum for today's meeting. There are 5 items of business for this meeting. The first item of business today is to elect Rob Burgess, Ten Schkoch, Jim Gaither, Don Hudson, Harvey Jones, Bill Miller, Mark Perry, Brooke Sewell, Mark Stephenson made to serve as Directors until our 2015 annual meeting. The second item of business is to approve the compensation of our executive officers as disclosed in our 2014 proxy statement. The 3rd item of business is to ratify the selection of PricewaterhouseCoopers LLP as our independent registered public accounting firm for the fiscal year ending January 25, 2015. The 4th item of business is to approve an amendment and restatement of our amended and restated 2,007 Equity Incentive Plan. 5th item of business, to approve an amendment and restatement of our 2012 employee stock purchase plan. David, would you please describe the voting procedures? Polls are currently open for voting. Voting is by proxy, written ballot or online if you are a stockholder attending virtually. You do not need to vote if you have already sent in your signed proxy or voted online or by telephone. Each share of common stock is entitled to one vote. If you want to vote in person at this meeting, please go see Eric at the back of the room or do so online. As the company has not received notice from any of its stockholders of any other matter to be considered at today's meeting, no other proposals will be addressed at this meeting. The time is 10 49 and the polls are now closed. May we have the results of the voting? Yes. The preliminary report of the Inspector of Elections covering the proposals presented at this meeting is as follows. The proposal to elect Rob Burgess, Tinch Cox, James Gaither, Jensen Huang, Don Hudson, Harvey Jones, William Miller, Mark Perry, Brook Sewell and Mark Stevens as Directors of NVIDIA officers is carried. The proposal to ratify the selection of PricewaterhouseCoopers LLP as NVIDIA's independent registered public accounting firm for the fiscal year ending January 25, 2015 is carried. The proposal to approve an amendment and restatement of the amended and restated 2,007 Equity Incentive Plan is carried and the proposal to approve amendment and restatement of the 2012 employee stock purchase plan is carried. A full tally of the votes will be published in a Form 8 ks, which will be filed with the SEC within 4 business days. Thanks, David. That concludes the formal portion of our Annual Meeting and I declare the business portion of the 2014 Annual Meeting of Stockholders adjourned. Thank you very much. Okay, everybody welcome. Now I'd like to give you an update of our year last year, talk to you about our performance last year. We had a successful year, both in terms of financial performance as well as executing the strategic initiatives that leads to the growth opportunities that we're pursuing. I would also like to talk to you about strategies that we're pursuing at the moment. Okay, before I do that, let me describe to you the business architecture of our company. NVIDIA is the world leader in visual computing. We're singularly focused in this field. This is the place where the innovators in this field come to work. This is where we do our life's work. We are the best in the world at it. We cover the entire spectrum of computing in this field, whether it's in PCs or cloud or mobile. So when you look at this chart, the way to read that, there are 3 computing platforms that are really important in computing today, PC, cloud and mobile. That's the horse on the rows. On the columns, these are vertical markets by which we take our technology, our specialty. And we address those vertical markets by adding software to it, specialty to it and create products that are of relevance to the marketplace. We started our business in GeForce PC gaming. We invented the GPU. We're the world leader in this space. We're the number one platform for PC gaming. If you buy GeForce for your PC, you're going to be able to enjoy games like no other computing platform on the planet no other gaming platform the planet. Quadro is our GPU for workstations. We're the number one workstation platform in the world. Quadro is used for design and visualization. Quadro is also used for design cars. There are no cars that I know of, no car companies that I know of who don't use Quadro workstations in some way, whether it's in design and styling and manufacturing, in their product lifetime management, supply chain management or marketing the products, including point of sales. Grid is based on a technology we invented called the virtual GPU. We invented the GPU. We invented the virtual GPU. The virtual GPU was invented so that we could put GPUs in the cloud to accelerate graphics without that computer being on your desktop or on your laptop. By putting something in a cloud, you have to make a multi tenant, meaning you have to share it. In order to share something, we have to virtually own it. In order to virtually own it, we have to virtualize that processor, and that's why we invented the virtual GPU. We are now the world leader in the space, whether it's cloud graphics or this area called enterprise virtualization virtual desktop infrastructure called VDI. Tesla is a processor we invented to accelerate parallel computing. There's a very special unique property about our GPUs whereby the processor itself is inherently wonderful at parallel computing. It's a massively parallel processor by design. We applied it, we generalized it, invented a technology called CUDA, and now you could use our GPUs for much more than graphics. You could use it for computational fluid dynamics, particle systems like molecular dynamics. You can even use it for big data analytics. We're the number one in accelerated computing. And recently, we invested in bringing our GPUs, the world's best GPUs to mobile platforms. When we think about mobile, mobile is more than phones. Mobile is phones, it's tablets, but mobile is going to be the future of computing in the sense that future of computing is going be smaller, lighter weight, lower power. It's going to be used in all kinds of places, whether it's gaming, whether it's automotive, whether it's your TV or set top box, computer technology is going to be included in these platforms and will completely revolutionize how you enjoy them. Tegra is really about us bringing our GPU leadership to these low power platforms, okay? So that's the business architecture of our company. 3 platforms, PC, cloud and mobile and 4 vertical markets by which we take our specialty into where we can make an enormous contribution in those markets. Now I'm going to talk about each one of these in more detail. As we think about this business architecture, we leverage one singular architecture across it. Our GPU architecture today is exactly the same architecture whether you're using it in the cloud or whether you're using it on PC or mobile. This leverage gives us the ability, of course, to take enormous amounts of R and D budget dedicated to one thing, but be able to leverage it across large business opportunities. Okay. A year end review 2013. 2013 was a successful year in several ways. One, we grew each one of the business platforms that we were targeting, PC, Cloud and Mobile Platforms. We delivered record gross margins of 55 points. We returned $1,500,000,000 of capital to our shareholders. Several platforms that we're working on, cloud computing platforms, were adopted by industry leaders. Tesla is the world's leading accelerated computing processor. IBM is the world leader in supercomputing. This last year, they adopted Tesla announced their adoption of Tesla for their next generation supercomputer. They also adopted a special proprietary link that we created to connect our GPU to CPUs of all types, an innovation called NVLink, creates a very high bandwidth interface between our CPU and our GPU IBM CPU and our GPU. VMware and Citrix announced that they would adopt Grid for enterprise virtualization. Enterprise virtualization is one of the most important enterprise initiatives across all companies. Virtualizing the enterprise provides us the opportunity to not only leverage our resources, whether it's storage or data centers, across more people more easily, It also lets people use computing platforms of all kinds. By virtualizing your enterprise, whether you use a Mac or a PC or an iPad or Android tablet, you can access the enterprise's resources much more easily. Enterprise virtualization has historically stopped at the borders, if you will, of the data center. We've invented a technology that makes it possible for you to virtualize your entire PC application and desktop. VMware and Citrix has adopted this technology. And then recently, we launched the Tegra K1. It's the 1st PC class mobile GPU and we also demonstrated the first 64 bit ARM processor, a successful year. We're growing in all platforms. PC, we grew 14% year over year comparing this last quarter to the same quarter a year ago, while the PC industry was flat to down. The reason why we're growing in the PC industry, even though the overall PC market was down, is because we're focused on platforms and segments of the PC that are continuing to grow, such as workstations and games. Data Center and Cloud taking our GPUs to accelerate graphics applications in data centers and cloud grew 29%. Although it's still a relatively small business, you could see now that it's a sizable business and growing at a very fast rate. Mobile, driven by our performance and also our success in automotive, we're seeing quite successful growth in mobile as well. So we're seeing growth in all three segments in all three platforms. If you break it down by business, we describe our business in GPU and as well as Tegra SoCs, whether it's GPUs or SoCs, we grow we're growing in both of these segments as well, 14% in GPUs and 42% in Tegra. We returned quite a bit of cash to our shareholders over the last 5 years, about $3,700,000,000 We're generating cash a great deal of cash. And of course, the return of cash return of capital to our shareholders reduces both in dividends and in stock buyback reduces the total number of outstanding shares. The outstanding shares stands now at 568,000,000 from a peak of 617,000,000. So each one of your shares is worth more. Okay. Let me talk about the strategies. There are 4 strategies that we're pursuing. The first strategy and the most important strategy is continue to lead visual computing. We've invented the GPU. We invented the GPGPU, which makes it possible for the GPU to be used for parallel computing. And we invented the virtual GPU, which puts the GPU in the cloud. I dare say that for the last 10, 15 years, we've probably made more contribution to Visual Computing than any other company in the industry. Our contributions are felt in video games. On the upper left hand side, you see the Unreal Engine 4, which is the latest generation video game platform created by a company called Epic. We partner with them very closely to do so. Not only do we make great processors so that you can enjoy great games, we also create middleware technologies, simulation technologies that makes it possible for these video games to be beautiful and amazing at the same time. These metalware technologies such as GameWorks is embedded into other people's video games so that it can take advantage of our GPUs. Almost every single movie today uses computer graphics at some level, special effects. These special effects are so amazing that it's really hard to describe certain difference between reality and virtual reality. Now the image that you're seeing in fact on the bottom is not reality, it's virtual reality. This is an example of a physically simulated car, physically accurately simulated car using our computer graphics rendered and placed onto a stage here. And this is the stage that we were at on GTC. And as you can see from that image, it's pretty hard to even tell whether that car was a photograph or a real car. Computer graphics, visual computing has an enormous amount of innovation ahead of it. And this is an area that we will continue to lead. One of our most successful strategies has to do with generalizing the GPU. We generalize the GPU so that the GPU is now programmable and useful for all kinds of parallel computing applications. Computer graphics is inherently parallel. We could however use the GPU for all kinds of other parallel computing problems, whether it's computer vision, whether it's analyzing enormous amount of data using all the little processors that are inside our chip or fluid dynamics for weather simulation, structural simulations for crash simulations, all kinds of parallel computing applications applied to the physical world. 2 particular areas that has really grown in excitement as people adopted our GPUs. 1 is computer vision. Computer vision, as you see here on the upper right, use it for recognizing objects on the road. In the future, your cars will be far easier to drive and far safer to drive. It uses a technology that the industry called Driver Assistance Systems, Advanced Driver Assistance, ADAS. At the core of that fundamental capability has to do with the ability to recognize the world around you, recognizing cars, recognizing signs, recognizing lanes, recognizing people. It also has to, of course, understand the 3 d world around it. So the reconstruction, the deconstruction of the 3 d world from imagery that comes in through your video sensors is really important part of that. It's a fundamental part of that. We're seeing a great deal of advancement in this area. Machine Learning. Machine Learning, one of the fields of machine learning is called deep neural networks using computers to model your brain, the physical operation of your brain. And so each one of these processors are modeled as a neuron or each one of the neurons are modeled as a processor. And in our processor, our GPUs are thousands of parallel processors that are working together. It is really a wonderful model, wonderful match between simulating your brain and using it on a GPU. We're seeing a lot of adoption in this area. IBM is using our processor, as I mentioned, for big data analytics. Baidu using it for natural language recognition. You speak into a phone in Chinese, it comes out of the other end in English. Flickr using it to match recognized imagery, self tagging imagery. Billions of photographs are being uploaded onto the web. It would be really nice if we could search those imagery. The only way to do that is either you tag it or it tags it automatically. Denso for computer vision for cars, Netflix recognizing the things that are inside a video. If you wanted to search inside a video and not just the title, it could, for example, help you find that, make recommendations. Facebook, they talked about how they're using machine learning for facial recognition. This is an area that is rich with opportunities. And the reason for that is because there's just so much data that are available today, so much data that are coming off all the phones and off the Internet. There's just so much data that are available. We can use that to train our computer in an area called unsupervised learning and using that learning to then recognize objects in the future. You could see that as we expanded the parallel computing capability of our GPUs, More and more research and more and more companies are built on top of it. GTC is our annual GPU Technology Conference. And the papers are the papers that are submitted by researchers that are presented at GTC. The number of papers have really shot up over the last couple of years. But more importantly, the type of topics that are included in it is really wide ranging today. It started out in supercomputing. It started out in physical simulations and were computational physics, computational chemistry, computational molecular dynamics. But today, the vast majority of those papers are related to machine learning and computer vision. Expanding the scope of visual computing is one of the purposes of making the GPU more programmable and I think we're making great progress there. The third strategy is to apply our visual computing leadership to cloud. More and more applications are going to be made possible and delivered through services in the cloud. However, the cloud lacks the interactive graphics capability that your workstation, your PC, your laptop has today. We would like to make the cloud computing platform as rich with graphics, interactive graphics as your PC is able to do today. So we invented Grid to make that capability possible. Grid virtualizes the GPU, puts it in the cloud makes it possible for you to enjoy it even though you're only connected through wireless technology. Grid is also used by enterprises to virtualize their enterprise. And one of our most important initiatives in enterprise is working with VMware, working with Citrix to engage enterprises all over the world to help them virtualize their enterprise. The number of trials that we're seeing on grid in enterprise virtualization has grown a great deal over the last several years last several months. This year, as I mentioned earlier, VMware, the world leader in enterprise virtualization, has Grid. On the lower left, you see our next generation GPU for data centers, for servers. It's a new processor called Pascal, has a special innovation called NVLink. IBM has adopted that for their next generation supercomputer and we're going to see adoption of PASCAL in almost all supercomputers in the future. This is an area of great success for us and great momentum. And then lastly, on the lower right, you see a device called an appliance called VCA, a Visual Computing Appliance. Visual Computing Appliance is really essentially a cloud graphics supercomputer in a box. By hanging that on a network, you can accelerate your rendering. By putting that on your network, a small or medium business or small work group can have the benefit of a cloud supercomputer on their network. And then lastly, to apply our visual computing leadership to mobile. The mobile revolution started out with phones, but mobile is far more important than just phones and mobile will be far more than phones. More and more of the computing devices that we see in the future, whether it's mobile or otherwise, will need visual computing. Our strategy is to apply our visual computing expertise to this particular segment in mobile. There's a couple of different examples that I'm showing here of our success. 1, automotive. Your car is going to become a visual supercomputer. Your visual supercomputer will do all kinds of things, including making the interior design of your car more rich and more beautiful, easier to drive. But that visual supercomputer would also be used for computer vision, seeing what's on the road to help you avoid accidents, make it easier for you to drive, make it more fun for you to drive. Automotive is an area that we're seeing great success. The Tesla electric car, almost all of the models of Audi, the new BMW I3s, I8s and many, many other cars to come. At this point, we've shipped about 5,000,000 cars with NVIDIA's technology in it, about 30 more 1,000,000 will be coming to the road soon. We recently brought our GPU to mobile our desktop GPU to mobile. It's a new processor called Tegra K1. Tegra K1 is really a revolution for mobile computing. If you take a look at the computer's performance, I'll show you in just a moment, applied to a tablet, it gives you amazing performance. But one of the areas that's really exciting is using this embedded supercomputer, this little tiny supercomputer uses exactly the same architecture as supercomputers and workstations and PCs as I mentioned earlier, with exactly the same architecture, Tegra K1 now brings a supercomputer capability within just a few watts. We recently announced a developer kit, started shipping a developer kit called Jetson TK1. Jetson reminiscent flying cars and robots. Jetson TK1 is finding all kinds of interesting success in the robotics industry. Robots of all kinds and shapes are going to be one of the most exciting growth areas in the coming years. TK1, Tegra K1 with this embedded module makes it possible for you to essentially put a visual supercomputer in devices that are operated by batteries. Maybe they're drones, maybe they're robots that roam around the hall, a really exciting area of development. The first tablet that went to market is the Mi Pad, Xiaomi, some people call them the Apple of China, a really, really innovative company, one of the fastest growing mobile device companies in the world. They differentiate by creating devices that are super exciting to the marketplace. They take their product to market completely through the web. They don't do retail. And so the excitement of their product is really important. And they've chosen to work with NVIDIA on their last generation phone called the Mi 3, which is shipping in the marketplace today and the brand new tablet called Mi Pad. The reviews of MePad has been really fantastic. Here I'll just read a couple of MePad cramps Tegra K1 into a 2 $40 shell. This is likely to be a tough Android tablet to beat in 2014. It's a tough tablet to beat for several reasons. 1, the performance is quite amazing. If you look at the top, the performance is twice that performance of an iPhone 5s and iPad Air. But yet on the other hand, the price is about half. The early benchmarks for the K1 chip shows powerful graphics performance that blew the competition away. So the promise of the NVIDIA capability now reaching mobile devices, Tegra K1. Okay. So the 4th growth strategies. 1, lead visual computing. Make the GPU more programmable so we could redefine the scope of visual computing, leveraging this special capability, this parallel computing capability into a large number of applications, some really, really exciting applications that we're seeing. 3, apply our GPU leadership, our visual computing assets to the cloud. And then 4, applying our visual computing leadership to mobile computing are 4 strategies. And so if you take a look at our growth drivers in the coming months, coming years, there are 3 platforms that I talked about the PC, the mobile and data center and cloud. We're going after these 3 platforms with differentiated products, a specialty in visual computing and addressing exciting growth opportunities. On the PC platform, the growth is driven by the fact that the PC gaming market is continuing to grow. It has been growing about 10% CAGR for the last several years. We expect it to continue to grow at this rate. There's a couple of reasons why the PC market, the PC platform is such a fantastic platform for gaming. One, the technology is ever evolving. It's getting better all the time because it's effectively an open platform. So you can evolve and continue to enhance the computing process, the computing capability almost on a continuous basis. The second reason is that the PC is culturally acceptable in almost every single country in the world. This is on balance still a computing platform. And then 3rd, because it's an open platform, new business models could be developed for it. It's the 1st platform to embrace multiplayer online games, massively online games. World of Warcraft, for example, is a great example. League of Legends, another example. It's the 1st platform to engage and embrace free to play. This is also the 1st platform for indie games and indie developers, which is cropping up all over the world, is able to get their games out to the marketplace. Because the PC is an open platform, it's really a wonderful ever changing platform for PC gaming. The second growth opportunity has to do with the production value. For the first time in the history of gaming, PC and game consoles use exactly the same architecture. The reason why that's important is because game developers can now apply their assets, their capital towards their investment larger industry than ever. In just a few more years, It is also a larger industry than ever. In just a few more years, it's going to be $100,000,000,000 the largest media, the largest content industry in the world. And so the competition is great. And so simultaneously because of a unified platform opportunity, they can apply all of their resources to developing one asset that can run on multiple platforms. And 2, because it's such a large market now, the production value has gone up. While the direct implication of production value to us as a graphics company is whenever the production value goes up, it needs higher end GPUs. And there is some indication that over the last several years, our GPU ASPs continue to grow. As the production value increases, the need for our technology increases, as the size of the market increases, it creates opportunities for us. And then lastly, this is the year that 4 ks monitors are going to come into the mainstream. 4 ks TV is out now. 4 ks monitors are relatively expensive still, but they are going to come into the mainstream very quickly. Ultra HD 4 ks monitors is 4 times more than 4 times the number of pixels that HD provides. And so if you have 4 times the number of pixels, you need to process 4 times as many pixels, another reason why higher end GPUs will have strong demand. So PC, three different reasons, important reasons that are helping to continue to drive our position there. We're the number one PC gaming platform in the world. We offer an enormous amount of value to game developers and gamers all over the world. We are the trusted the platform. And now with these dynamics behind us, I expect the PC gaming market to continue to grow. 2nd, mobile. Our strategy with mobile is to focus our energy, focus our strategies and our investments in visual computing segments of mobile. Mobile is more than phones as I mentioned. Mobile is going to make a big difference in video games as well as the automotive industry. As the largest computing platform in the world now, Android will surely be used and surely be important for games. Don't forget that computer games starts with computer. And wherever there's a large computing platform, there will be games. And there's some evidence that's happening in Android. The reason why we invested in this area is because we believe that Android is going to be one of the most important and one of the largest gaming platforms in going to Although it's starting with mostly casual games today, we believe that we can do the same thing for mobile, for Android as we've done for Windows. Um10 years ago, we started to invest in helping Windows become the best gaming platform in the world and today it is. It requires focus. It requires us to bring our technology and our know how to that platform, all of our GPU capability, our middleware capability and the work that we're doing with Android developers is going to help make this one of the best gaming platforms in the world. The automotive market is large. We know there are a lot of cars. But the exciting thing is that now your car will become a car computer. It's going to be a computer first almost on wheels. It's more than just about putting a computer into the infotainment system. Your infotainment system, your digital cluster as well as computer vision capability for ADAS, your car will likely see 1, 2, 3 and we're talking to people talking to car companies who are building 5, 6, 7, 8 computers inside one car. We're seeing very fast growth in this area. This is one of the growth drivers of Tegra. And for the next several years, foreseeable future, this is going to be quite an exciting growth driver for us. Data Center and Cloud, this is what grid and Tesla is. We're seeing really exciting opportunities here. When people say big data analytics, what they mean is there's just an enormous amount of data that processors have to crunch through. One of the things that's really that we know about our GPU is that it's already a massively parallel processor. It's used in scientific computing, but now it could be used in business computing. Business computing for companies to do data analytics to reveal insight, a field that the industry now calls data science. It can be used for Internet services to learn from the images, learn from all of the voice searches, learn from all the video that's being uploaded, learn from that to recognize to learn how to recognize images, understand voice and through that provide better services. So HPC and cloud computing is really important. In enterprise, the way that you apply our technology is to virtualize your PC. If we can put the capabilities of a PC, if we can put the capabilities of graphics in the cloud, we can certainly virtualize your enterprise. We can certainly do it inside your company. There are 600,000,000 enterprise desktops in the world. If we were to virtualize that and to cause many of them to be able to make possible for many of them to enjoy their PCs on any device that they like, whether it's a tablet or Chrome laptop or a Mac or whatever it is. By virtualizing that you can now enjoy your PC really as an application. You can enjoy your PC the way you enjoy Netflix today. What Netflix did to virtualize the DVD player, Grid is doing to virtualize your PC. So this is a large business opportunity for us as well. And I showed you earlier how the trials are going incredibly well. One architecture, 3 growth drivers, one singular focus, visual computing. We are the world leader at it. We've invented capabilities for ourselves to grow in mobile and data centers. And now we have the growth drivers behind us. We had a great year last year. From a financial perspective, we had a good performing year, but more importantly, the initiatives that we invested in, growth initiatives that we invested in, so that we can grow in mobile and grow in data center, both are seeing real and exciting traction. And so in the coming years, these large business opportunities, I hope, will translate into years of financial performance to come. I want to thank all of you for being here, and We'll take questions from stockholders attending online as well as those attending here in person. If you'd like to ask a question, please raise your hand and wait to be recognized. No questions? Do we have any questions online? No questions? Right. Thank you. I'd like to thank you all for your support. We look forward to continuing to make NVIDIA a great company and one of the most important and influential technology companies around the world. Thank you very much.