Thanks, Arnab. In March we introduced our newest GPU architecture, Pascal. This extraordinary scalable design built on the 16-nanometer FinFET process provides massive performance and exceptional power efficiency. It will enable us to extend our leadership across our four specialized platforms: gaming, professional visualization, datacenter, and automotive. Year-on-year revenue growth continued to accelerate, increasing 13% to $1.3 billion. Our GPU business grew 15% to $1.08 billion from a year ago. Tegra processor business was up 10% to $160 million. Growth continues to be broad-based across all four platforms. Record performance in datacenter was driven by the adoption of deep learning across multiple industries.
In Q1 our four platforms contributed nearly 87% of revenue, up from 81% a year earlier. They collectively increased 21% year over year.
Let's start out with our gaming platform. Gaming revenue increased 17% year on year to $687 million, momentum carried forward from the holiday season helped by the continued strength of Maxwell-based GTX processors. Last weekend at DreamHack Austin, we unveiled GeForce GTX 1080 and GTX 1070, our first Pascal GPUs for gamers. They represent a quantum leap for gaming and immersive VR experiences, delivering the biggest performance games from the previous generation architect in a decade. Media reports and gamers have been unanimously enthusiastic. The Verge wrote, what NVIDIA is doing with its new GTX 1000 series is bringing yesteryear's insane high-ends into 2016's mainstream. We also extended our VR platform by adding spatial acoustics to our VRWorks software development kit, which helps provide an even greater sense of presence within VR. We introduced simultaneous multi-projection, enabling accurate, efficient projection of the real world to surround monitors, VR headsets as well as feature displays. To showcase these technologies, we created our own amazing Open Source game called NVIDIA VR Funhouse, available on Steam. In addition, we announced Ansel, an in-game photography system which enables gamers to capture high resolution and VR scenes within their favorite games.
Moving to professional visualization. Quadro grew year on year for the second consecutive quarter. Revenue rose 4% to $189 million. Growth came from higher-end products and mobile workstations. We launched the M6000 24GB and are seeing good success among multiple customers including Toyota and Pixar. Roche is using the M6000 to speed its DNA sequencing pipeline by 8X, enabling more affordable genetic testing. We see exciting opportunities for our Quadro platform with virtual reality and NVIDIA Iray, a photo-realistic rendering tool that enables designers effectively to walk around their creations and make real-time adjustments.
Moving to datacenter. Revenue was a record $143 million, up 63% year on year and up 47% sequentially, reflecting enormous growth in deep learning. In just a few years, deep learning has moved from academia and is now being adopted across the hyperscale landscape. We expect growing deployment in the coming year among large enterprises. GPUs have become the accelerator of choice for hyperscale center centers due to their superior programmability, computational performance, and power efficiency. Our Tesla M4 is over 50% more power efficient than other programmable accelerators for applications such as real-time image classification for AlexNet, a deep learning framework. Hyperscale companies are the fastest adopters of deep learning, accelerating their growth in our Tesla business. Starting from infancy three years ago, hyperscale revenue is now similar to that from high performance computing. NVIDIA GPUs today accelerate every major deep learning framework in the world. We power IBM Watson and Facebook's Big Sur server for AI, and we're in AI platforms at hyperscale giants such as Microsoft, Amazon, Alibaba and Baidu for both training and real-time inference. Twitter has recently said they use NVIDIA GPUs to help users discover the right content among the millions of images and videos shared every day.
During the quarter, we hosted our seventh annual GPU Technology Conference. The event drew record attendance with 5,500 scientists, engineers, designers and others across a wide range of fields, and featured 600 sessions and 200 exhibitors. At GTC we unveiled the Tesla P100, the world's advanced GPU accelerator based on the Pascal architecture. The P100 utilizes a combination of technologies including NVLink, a high speed interconnect allowing application performance to scale on multiple GPUs, high memory bandwidth, and multiple hardware features designed to natively accelerate AI applications. The next platform, an enterprise IT site, calls it a beast in all the good sense of that word. Among the first customers for our Pascal accelerator is the Swiss national computer center, which will use it to double the speed of Europe's fastest supercomputer. At GTC, we also announced the DGX-1, the world's first deep learning supercomputer loaded. With eight P100s in a single box interconnected with NVLink, it provides the deep learning performance equivalent to 250 traditional servers. DGX-1 comes loaded with a suite of software designed to aid AI and application developers. Universities, hyperscale vendors, and large enterprises developing AI-based applications are showing strong interest in the system. Among the first to get DGX-1 will be the Massachusetts General Hospital. It launched an initiative that applies AI techniques to improve the detection, diagnosis, treatment, and management of diseases, drawing on its database of some 10 billion medical images. In our GRID graphics virtualization business, we're seeing interest across a variety of industries ranging from manufacturing, energy, education, government, and financial services.
Finally, in automotive, revenue continued to grow, reaching $113 million, up 47% year-over-year and up 22% sequentially, reflecting the growing popularity of premium infotainment features in mainstream cars. NVIDIA's working closely with partners to develop self-driving cars using our end-to-end platform, which starts with Tesla in the datacenter and extends through the deployment with DRIVE PX 2. Since we unveiled DRIVE PX 2 earlier this year, worldwide interest has continued to grow among car makers, Tier 1 suppliers, and others. We are now collaborating with more than 80 companies using the open architecture of DRIVE PX to develop their own software and driving experiences. At GTC, we demonstrated the world's first self-driving car trained using deep learning and showed its ability to navigate on roads without lane markings even in bad weather. Additionally, we announced that DRIVE PX 2 will serve as the brain behind the new ROBORACE initiative in the Formula E racing circuit. The circuit will include 10 teams racing identical cars, all using DRIVE PX 2. Beyond our four platforms, our OEM, IP business was $173 million, down 21% year-on-year, reflecting weak PC demand.
Now, turning to the rest of the income statement. We had record GAAP and non-GAAP gross margins for the first quarter at 57.5% and 58.6%, respectively. Driving these margins was the strength of our Maxwell GPUs, the success of our platform approach, and strong demand for deep learning.
GAAP operating expenses for the first quarter were $506 million and declined from $539 million in Q4 on lower restructuring charges. Non-GAAP operating expenses were $443 million, flat sequentially and up 4% from a year earlier, reflecting increased hiring for our growth initiatives and development-related expenses associated with Pascal. GAAP operating income for the first quarter was $245 million, up 39% from a year earlier. Non-GAAP operating income was $322 million, also up 39%. Non-GAAP operating margins improved more than 470 basis points from a year ago to 24.7%. For the first quarter, GAAP net income was $196 million. Non-GAAP net income was $263 million, up 41%, fueled by the strong revenue growth and improved gross and operating margins. During the first quarter, we'd entered into a $500 million accelerated share repurchase agreement, and paid $62 million in quarterly cash dividends.
Since the restart of our capital return program in the fourth quarter of fiscal 2013, we've returned over $3.5 billion to shareholders. This represents over 100% of our cumulative free cash flow for fiscal years 2013 through this Q1. For fiscal 2017, we intend to return approximately $1 billion to shareholders through share repurchases and quarterly cash dividends. Now, turning to the outlook for the second quarter of fiscal 2017. We expect revenue to be $1.35 billion, plus or minus 2%.
Our GAAP and non-GAAP gross margins are expected to be 57.7% and 58.0%, respectively, plus or minus 50 basis points. GAAP operating expenses are expected to be approximately $500 million. Non-GAAP operating expenses are expected to be approximately $445 million. GAAP and non-GAAP tax rates for the second quarter of fiscal 2017 are both expected to be 20%, plus or minus 1%. Further financial details are included in the CFO commentary and other information available on our IR website.
We will now open the call for questions. Operator, could you please poll for questions? Thank you.