Thanks, Simona. Q3 revenue was $3.01 billion, down 5% year-on-year and up 17% sequentially.
Starting with our gaming business. Revenue of $1.66 billion was down 6% year-on-year and up 26% sequentially. Results exceeded our expectations driven by strength in both desktop and notebook gaming.
Our GeForce RTX lineup features the most advanced GPU for every price point and uniquely offers hardware-based ray tracing for cinematic graphics. While ray tracing launched a little more than a year ago, two dozen top titles have shipped with it or are on the way. Ray tracing is supported by all the major publishers, including all-star titles and franchise such as Minecraft, Call of Duty, Battlefield, Watch Dogs, Tomb Raider, Doom, Wolfenstein and Cyberpunk. Of note, Call of Duty: Modern Warfare, had a record-breaking launch in late October that came on the heels of CONTROL, an action adventure game with multiple ray trace features. Reviews have praised both for their ray tracing implementation and game-play performance.
With last week's PC release of Red Dead Redemption 2 as a strong gaming lineup for the holiday season, our business reflects this growing excitement. RTX GPUs now drive more than 2/3 of our desktop gaming GPU revenue. Gaming laptops were a standout, driving strong sequential and year-on-year growth. This holiday season, our partners are addressing the growing demand for high-performance laptops for gamers, students and prosumers by bringing more than 130 NVIDIA-powered gaming and studio laptop models to market. This includes many thin and light form factors enabled by our Max-Q technology, triple the number of Max-Q laptops last year.
In late October, we announced the GeForce GTX 1660 Super and the 1650 Super, which refresh our mainstream desktop GPUs with more performance, faster memory and new features. The 1660 Super delivers 50% more performance than our prior-generation Pascal-based 1060, the best-selling gaming GPU of all time. It began shipping on October 29, priced at just $229. PC World called it the best GPU you can buy for 1080p gaming. We also announced the next generation of our streaming media player with 2 new models, Shield TV and Shield TV Pro, which launched on October 28. These bring AI to the streaming market for the first time with the ability to upscale video real time from high definition to 4K using NVIDIA-trained deep neural networks. Shield TV has been widely recognized as the best streamer on the market.
Finally, we made progress in building out our cloud gaming business. Two global service providers, Taiwan Mobile and Russia's Rostelecom with GFN.ru joined SoftBank and Korea's LG as partners for our GeForce NOW game-streaming service. Additionally, Telefónica will kick off a cloud gaming proof-of-concept in Spain.
Moving to data center. Revenue was $726 million, down 8% year-on-year and up 11% sequentially. Our hyperscale revenue grew both sequentially and year-on-year, and we believe our visibility is improving. Hyperscale activity is being driven by conversational AI, the ability for computers to engage in human-like dialogue, capturing context and providing intelligent responses. Google's breakthrough, introduction of the BERT model, with its superhuman levels of natural language understanding, is driving a way of neural networks for the language understanding. That, in turn, is driving demand for our GPUs on 2 fronts. First, these models are massive and highly complex. They have 10 to 20x, in some cases 100x, more parameters than image-based models. As a result, training these models requires V100-based compute infrastructure that, in orders of magnitude, beyond what is needed in the past. Model complexity is expected to grow significantly from here. Second, real-time conversational AI requires very low latency and multiple neural networks running in quick succession from de-noising to speech recognition, language understanding, text-to-speech and voice encoding. While conventional approaches fail at these tasks, NVIDIA's GPUs can handle the entire inference chain, in less than 30 milliseconds. This is the first AI application where inference requires acceleration. Conversational AI is a major driver for GPU-accelerated inference. In addition to this type of internal hyperscale activity, our T4 GPU continue to gain adoption in public clouds. In September, Amazon AWS announced general availability of the T4 globally, following the T4 rollout on Google Cloud platform earlier in the year. We shipped a higher volume of T4 inference GPU this quarter with V100 training GPUs, and both were records. Inference revenue more than doubled from last year and continued a solid double-digit percentage of total data center revenue. Last week, the results of the first industry benchmark for AI inference, MLPerf inference, were announced. We won. In addition to demonstrating the best performance among commercially available solutions for both data center and edge applications, NVIDIA accelerators were the only ones that completed in all 5 MLPerf benchmarks. This demonstrates the programmability and performance of our computing platform across diverse AI workloads, which is critical for wide-scale data center deployment and is a key differentiator for us.
Several product announcements this quarter helped extend our AI computing platform into new markets, the enterprise edge. At Mobile World Congress, Los Angeles, we announced a software-defined 5G wireless RAN solution accelerated by GPUs in collaboration with Ericsson. This opens up the wireless RAN market to NVIDIA GPUs. It enables new AI applications as well as AR, VR and gaming to be more accessible to the telco edge. We announced the NVIDIA EGX Intelligent Edge Computing Platform. With an ecosystem of more than 100 technology companies worldwide, early adopters include Walmart, BMW, Procter & Gamble, Samsung Electronics, NTT East and the cities of San Francisco and Las Vegas. Additionally, we announced a collaboration with Microsoft on intelligent edge computing. This will help industries better manage and gain insights from the growing flood of data created by retail stores, warehouses, manufacturing facilities and urban infrastructure. Finally, last week, we held our GPU Technology Conference in Washington, D.C., which was sold out with more than 3,500 registered developers, CIOs and federal employees. At the event, we announced that the U.S. Postal Service, the world's largest delivery service with almost 150 billion pieces of mail delivered annually, is adopting AI technology from NVIDIA, enabling 10x faster processing of package data and with higher accuracy.
Moving to ProVis. Revenue reached a record $324 million, up 6% from the prior year and up 11% sequentially driven primarily by mobile workstations. NVIDIA RTX graphic and Max-Q technology have enabled a new wave of mobile workstations that are powerful enough for design applications yet thin and light enough to carry. We expect this to become a major new category with exciting growth opportunities. Over 40 top creative design applications are being accelerated with RTX GPUs. Just last week, at the Adobe Max Conference, RTX accelerated capabilities were added to 3 Adobe Creative apps. RTX-accelerated apps are now available to tens of millions of artists and designers, driving demand for our RTX GPUs. We also continue to see growing customer deployment of data science, AI and VR applications. Strong demand this quarter came from manufacturing, public sector, higher education and health care customers. Finally, turning to automotive.
Revenue was $162 million, down 6% from a year ago and down 22% sequentially. The sequential decline was driven by a onetime nonreoccurring development services contract recognized in Q2. Additionally, we saw a roll-off of legacy infotainment revenue and general industry weakness. Our AI cockpit business grew driven by the continued ramp of the Daimler as they deploy their AI-based infotainment systems across their fleet of Mercedes-Benz vehicles. In August, Optimus Ride launched New York City's first autonomous driving pilot program powered by NVIDIA DRIVE. Urban settings pose unique challenges for autonomous vehicles given the number of density of objects that need to be perceived and comprehended in real time. Our DRIVE computer and software stack allows these shuttles to safely and effectively provide first- and last-mile transit services. We remain excited about the long-term opportunity in auto. Our offering is — consists of in-car AV computing platforms as well as GPU servers for all AI development and simulation. We believe we are well positioned in the industry with leading end-to-end platform that enables customers to develop, test and safely operate autonomous vehicles, ranging from cars and trucks to shuttles and robo-taxis.
Moving to the rest of the P&L. Q3 GAAP gross margins was 63.6%, and non-GAAP was 64.1%, up sequentially, reflecting a benefit from sales of previously written-off inventory, higher GeForce GPUs average selling prices and lower component costs. GAAP operating expenses were $989 million, and non-GAAP operating expenses were $774 million, up 15% and 6% year-on-year, respectively. GAAP EPS was $1.45, down 26% from a year earlier. Non-GAAP EPS was $1.78, down 3% from a year ago.
Cash flow from operations was a record $1.6 billion. With that, let me turn to the outlook for the fourth quarter of fiscal 2020, which does not include any contribution from the pending acquisition of Mellanox. We expect revenue to be $2.95 billion, plus or minus 2%. This reflects expectations for strong sequential growth in data center, offset by a seasonal decline in notebook GPUs for gaming and Switch-related revenue.
GAAP and non-GAAP gross margins are expected to be 64.1% and 64.5%, respectively, plus or minus 50 basis points. GAAP and non-GAAP operating expenses are expected to be approximately $1.02 billion and $805 million, respectively. GAAP and non-GAAP OI&E are both expected to be income of approximately $25 million. 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 $130 million to $150 million. Further financial details are included in the CFO commentary and other information available on our IR website.
In closing, let me highlight the upcoming events for the financial community. We will be at the Crédit Suisse Annual Technology Conference on December 3, Deutsche Bank's Auto Tech Conference on December 10 and Barclays Global Technology, Media and Telecommunications Conference on December 11. We will now open the call for questions. Operator, would you please poll for questions?