Thanks, Jensen. Against the backdrop of the extraordinary events unfolding around the globe, we had a very strong quarter. Q1 revenue was $3.08 billion, up 39% year-on-year, down 1% sequentially and slightly ahead of our outlook, reflecting upside in our data center and gaming platforms.
Starting with gaming. Revenue of $1.34 billion was up 27% year-on-year and down 10% sequentially. We are pleased with these results, which exceeded expectations in the quarter, marked by the unprecedented challenge of the COVID-19. Let me give you some color.
Early in Q1, as the epidemic unfolded, demand in China was impacted with iCafes closing for an extended period. As the virus spread globally, much of the world started working and learning from home, and gameplay surged. Globally, we have seen 50% rise in gaming hours played on our GeForce platform, driven both by more people playing and more gameplay per user. With many retail outlets closed, demand for our products has shifted quite efficiently to e-tail channels globally. Gaming laptops revenue accelerated to its fastest year-on-year growth in 6 quarters. We are working with our OEMs, channel partners to meet the growing needs of the professionals and students engaged in working, learning and playing at home. In early April, our global OEM partners announced a record new 100 NVIDIA GeForce-powered laptops with availability starting in Q1 and the most to ship in Q2. These laptops are the first to use our high-end GeForce RTX 2080 SUPER and 2070 SUPER GPUs, which have been available for desktop since last summer. In addition, OEMs are bringing to market laptops based on the RTX 2060 GPU at just $999, a price point that enables a larger audience to take advantage of the power and features of RTX, including its unique ray tracing and AI capabilities. These launches are well-timed as mobile and remote computing needs accelerate. The global rise in gaming also lifted sales of NVIDIA Nintendo Switch and our console business, driving strong growth both sequentially and year-over-year. We collaborated with Microsoft and Mojang to bring RTX ray tracing to Minecraft, the world's most popular game with over 100 million gamers monthly and over 100 billion total views on YouTube. Minecraft with RTX looks astounding with realistic shadows and reflections.
Light that reflects, refracts and scatters through surfaces as naturalistic effects like fog. Reviews for it are off the charts. Ars Technica called it a jaw-dropping stunner, and PC World said it was glorious to behold. Our RTX technology stands apart, not only with our 2-year lead in ray tracing but with its use of AI to speed up and enhance games using the Tensor Core silicon on our RTX class GPUs. We introduced the next version of our AI algorithm called Deep Learning Super Sampling. In real time, DLSS 2.0 can fill the missing bits from every frame, doubling performance. It represents a major step function from the original, and it can be trained on nongaming-specific images, making it universal and easy to implement. The value and momentum of our RTX GPUs continue to grow.
We have a significant upgrade opportunity over the next year with the rise and tide of RTX-enabled games, including major blockbusters like Minecraft and Cyberpunk. Let me also touch on our game streaming service, GFN, which exited beta this quarter. It gives gamers access to more than 650 games with another 1,500 in line to get onboarded. These include Epic Games, Fortnite, which is the most played game on GFN; and other popular titles such as CONTROL, Destiny 2 and League of Lighting in the fall. Since launching in February, GFN has added 2 million users around the world, with both sign-ups and hours of gameplays boosted by stay-at-home measures. GFN expands our market reach to the billions of gamers with underpowered devices. It is the most publisher-friendly, developer-friendly game streaming service with the greatest number of games and the only one that supports ray tracing.
Moving to Pro Visualization. Revenue was $307 million, up 15% year-on-year and down 7% sequentially. Year-on-year revenue growth accelerated in Q1 driven by laptop workstations and Turing adoption. We are seeing continued momentum in our ecosystem for RTX ray tracing. We now have RTX support for all major rendering visualization and design software packages, including Autodesk Maya, Dassault's CATIA, Pixar's RenderMan, Chaos Group's V-Ray and many others. Autodesk has announced that the latest release of VRED, its automotive 3D visualization software, supports NVIDIA RTX GPUs. This enables designers to take advantage of RTX to produce more like-life designs in a fraction of the time versus CPU-based systems. Over 45 leading creative and design applications now take advantage of RTX, driving a sustained upgrade opportunity for Quadro-powered systems while also expanding their reach.
We see strong demand in verticals, including health care, media and entertainment and higher education, among others. Higher health care demand was fueled in part by COVID-19 related research at Siemens, Oxford and Caption Health. Caption Health received FDA clearance for an update to its AI-guided ultrasound, making it easier to perform diagnostics-quality cardiac ultrasounds. And in media and entertainment, demand increased as companies like Disney deployed remote workforce initiatives.
Turning to automotive and robotic autonomous machines. Automotive revenue was $155 million, down 7% year-on-year and down 5% sequentially. The automotive industry is seeing a significant impact from the pandemic, and we expect that to affect our revenue in the second quarter as well, likely declining about 40% from Q1. Despite the near-term challenges, our important work continues.
We believe that every machine that moves someday will have autonomous capabilities. During the quarter, Xpeng introduced the P7, an all-electric sports sedan with innovative Level 3 automated driving features, powered by the NVIDIA DRIVE AGX Xavier AI compute platform. Our open, programmable, software-defined platform enables Xpeng to run its proprietary software while also delivering over-the-air updates for new driving features and capabilities. Production deliveries of the P7 with NVIDIA DRIVE begin next month. Our Ampere architecture will power our next-generation NVIDIA DRIVE platform called Orin, delivering more than 6x the performance of Xavier Solutions and 4x better power efficiency. With Ampere scalability, the DRIVE platform will extend from driverless robotaxis all the way down to in windshield driver assistant systems sipping just a few watts of power. Customers appreciate the top-to-bottom platform all based on a single architecture, letting them build one software-defined platform for every vehicle in their fleet. Lastly, in the area of robotics, we announced that BMW Group has selected the new NVIDIA as a robotics platforms to automate their factories, utilizing logistic robots built on advanced AI computing and visualization technologies.
Turning to data center. Quarterly revenue was a record $1.14 billion, up 80% year-on-year and up 18% sequentially, crossing the $1 billion mark for the first time. Announced last week, the A100 is the first Ampere architecture GPU. Although just announced, A100 is in full production, contributed meaningful to Q1 revenue and demand is strong.
Overall, data center demand was solid throughout the quarter. It was also broad-based across hyperscale and vertical industry customers as well as across workloads, including training, inference and high-performance computing. We continue to have solid visibility into Q2. The A100 offers the largest leap in performance to date over our 8 generations of GPUs, boosting performance by up to 20x over its predecessor. It is exceptionally versatile, serving as a universal accelerator for the most important high-performance workloads, including AI training and inference as well as data analytics, scientific computing and cloud graphics. Beyond its leap performance and versatility, the A100 introduces new elastic computing technologies that make it possible to bring rightsized computing power to every job. A multi-instance GPU capability allows each A100 to be partitioned into as many as 7 smaller GPU instances. Conversely, multiple A100 interconnected by our third-generation NVLink can operate as one giant GPU for ever larger training tasks. This makes the A100 ideal for both training and for inference. The A100 will be deployed by the world's leading cloud service providers and system builders, including Alibaba cloud, Amazon Web Services, Baidu Cloud, Dell Technologies, Google Cloud platform, HPE and Microsoft Azure, among others. It is also getting adopted by several supercomputing centers, including the National Energy Research Scientific Computing Center and the Jülich Supercomputing Centre in Germany and Argonne National Laboratory. We launched and shipped the DGX A100, our third-generation DGX and the most advanced AI system in the world. The DGX A100 is configurable from 1 to 56 independent GPUs to deliver elastic software-defined data center infrastructure for the most demanding workloads from AI training and inference to data analytics. We announced two products for edge AI: the EGX A100 for larger commercial off-the-shelf servers; and the EGX Jetson Xavier NX for micro-edge servers. Supported by full AI optimized cloud, native and secure software, the EGX platform is built for AI computing at the edge. With the EGX, hospitals, retail stores, farms and factories can securely carry out real-time processing of the massive amounts of data streaming from trillions of edge sensors. NVIDIA EGX makes it possible to securely, deploy and manage and update fleets of servers remotely. EGX is also ideal for the massive computational challenge of 5G networks, which we are working on with our partners like Ericsson and Mavenir.
Additionally, we announced CUDA 11 and other important software harnessing the A100's performance and universality to accelerate three of the most complex and fast-growing workloads: recommendation systems, conversational AI and data science. First, NVIDIA Merlin is a deep recommender application framework that enables developers to quickly build state-of-the-art recommendation systems, leveraging our pretrained models. With billions of users and trillions of items on the Internet, deep recommendators are the critical engine powering virtually every internet service. Second, NVIDIA Jarvis is a GPU-accelerated application framework that makes it easy for developers to create, deploy and run end-to-end real-time conversational AI applications that understand terminology unique to each company and its customers using both vision and speech. Demand for these applications are surging. Amid the shift to working from home, telemedicine and remote learning.
And third, in the field of data science and data analytics, we announced that we are bringing end-to-end GPU acceleration to Apache Spark, an analytics engine for big data processing that uses more than 500,000 data scientists worldwide. Native GPU acceleration for the entire Spark pipeline, from extracting, transforming and loading the data to training to inference, delivers the performance and the scale needed to finally connect the potential of big data with the power of AI. Adobe has achieved a 7x performance improvement and a 90% cost savings in an initial test using GPU-accelerated data analytics with Spark.
Our accelerated computing platform continues to gain momentum, underscored by the tremendous success of GTC Digital, our annual GPU technology conference, which shifted this spring to an online format. More than 55,000 online developers and AI research registered for the online event, which includes hundreds of hours of free content from AI practitioners and industry experts who leverage NVIDIA's platforms. Our ecosystem is now 1.8 million developers strong. Times like these truly test a computing platform's metal in the utility it brings to scientist racing for solutions. Researchers around the world are deploying our GPU computing platform in the fight against COVID-19.
Scientists are combining AI simulation to detect changes in pneumonia cases, sequence, the virus and seek effective biomolecular compounds for a vaccine or treatment. The first breakthrough came from researchers at the University of Texas at Austin and National Institute of Health, who used the GPU-accelerated application to create the first 3D atomic scale map of virus using NVIDIA GPUs. This was followed by researchers at Oak Ridge National Laboratory who screened 8,000 compounds to identify 77 promising drug targets using the world's fastest supercomputer, Summit, which is powered by more than 27,000 NVIDIA GPUs. The V100 GPUs at Oak Ridge are in high demand as they can analyze 17 million compound protein combinations in a day. They'll help understand the virus spread pattern, the University of California, San Diego, researchers ported their microbiomic analysis software to GPUs in the San Diego supercomputing cluster of 500x analysis speed up from what some people are more susceptible to the virus. Okay.
Moving to the rest of the P&L. Q1 GAAP gross margins was 65.1% and non-GAAP was 65.8%, up sequentially and year-on-year, primarily driven by GeForce GPU product mix and higher data center sales. Q1 GAAP operating expenses were $1.03 billion, and non-GAAP operating expenses were $821 million, up 10% and 9% year-on-year, respectively. Q1 GAAP EPS was $1.47, up 130% from a year earlier, and non-GAAP EPS was $1.80, up 105% from a year ago.
Q1 cash flow from operations was $909 million. Before I turn to the outlook, let me make a few comments on our Mellanox acquisition. Beyond the strong strategic and cultural fit that Jensen has discussed, Mellanox has exceptionally strong financial profile. The company reported revenue of $429 million in its March quarter, accelerating to 40% year-on-year growth, with GAAP and non-GAAP gross margins in the mid- to high 60% range. We expect the acquisition to be immediately accretive to non-GAAP gross margins, non-GAAP earnings per share and free cash flow. We aim to retain the full Mellanox team and accelerate investments in our combined road map as we jointly innovate on our shared vision for the future of accelerated computing. With that, let me turn to the outlook of the second quarter of fiscal 2021, which includes a full quarter contribution from Mellanox. We have assumed in our outlook the potential ongoing impact from COVID-19. We expect our automotive platform sales to be down 40% on a sequential basis and Pro Viz to decline sequentially. In gaming, while we will likely see ongoing impact from the partial operations or closures of iCafes and retail stores, we expect that to be largely offset by a shift to e-tail channels. Overall, the precise magnitude of the impact is difficult to predict, given uncertainties around the reopening of the economy. Overall, we expect second quarter revenue to be $3.65 billion, plus or minus 2%. The contribution of Mellanox revenue is likely to be in the low teens percentage range of our total Q2 revenue. We are providing this breakout to help with comparability between Q1 and Q2. But going forward, it will become an integrated part of our data center market platform. GAAP and non-GAAP gross margins are expected to be 58.6% and 66%, respectively, plus or minus 50 basis points.
The sequential decline in GAAP gross margins primarily reflects an increase in acquisition-related costs, most of which are nonrecurring. GAAP and non-GAAP operating expenses are expected to be approximately $1.52 billion, and $1.04 billion, respectively. The sequential change in GAAP operating expenses reflects an increase in stock-based compensation and acquisition-related costs. GAAP and non-GAAP operating expenses for the full year are expected to be approximately $5.7 billion and $4.1 billion, respectively. For the full year, stock-based compensation and acquisition-related costs also influence.
GAAP and non-GAAP OI&E are both expected to be an increase of approximately $50 million and $45 million, respectively. GAAP and non-GAAP tax rates are both expected to be 9%, plus or minus 1%, excluding discrete items. Capital expenditures are expected to be approximately $225 million to $250 million.
Further financial details are included in the CFO commentary and other information available on our IR website. New this quarter, we have also posted an investor presentation summarizing our results and key highlights.
In closing, let me highlight upcoming events for the financial community. Next Thursday, May 28, we will webcast a presentation and Q&A with Jensen on our recent product announcement moderated by Evercore. We will also be at Cowen's TMT Conference on May 27; Morgan Stanley's Cloud Secular Winners Conference on June 1; BoFa's Technology Conference on June 2; Needham's Fourth Automotive Technology Conference on June 3 and Nasdaq Investor Conference on June 16. Operator, we will now open for questions. Can you please poll for questions, please.