Thanks, Arnab.
We had a stellar Q4 and fiscal 2017 with records in all of our financial metrics; revenue, gross margin, operating margins and EPS. Growth was driven primarily by Datacenter tripling with a rapid adoption of AI worldwide. Quarterly revenue reached $2.17 billion, up 55% from a year earlier, and up 8% sequentially, and above our outlook of $2.1 billion. Fiscal 2017 revenue was just over $6.9 billion, up 38% and nearly $2 billion more than fiscal 2016. Growth for the quarter and fiscal year was broad based with record revenue in each of our four platforms, Gaming, Professional Visualization, Datacenter and Automotive. Our full year performance demonstrates the success of our GPU platform-based business model. From a reporting segment perspective, Q4 GPU revenue grew 57% to $1.85 billion from a year earlier. Tegra Processor revenue was up 64% to $257 million.
Let's start with our Gaming platform. Q4 Gaming revenue was a record $1.35 billion, rising 66% year-on-year and up 8% from Q3.
Gamers continued to upgrade to our new Pascal-based GPUs. Adding to our gaming lineup we launched GTX 1050 class GPUs for notebooks, bringing eSports and VR capabilities to mobile at great value. The GTX 1050 and 1050 Ti were featured in more than 30 new models launched at last month's Consumer Electronics Show. To enhance the gaming experience, we announced G-SYNC HDR, a technology that enables displays which are brighter and more vibrant than any other gaming monitor. Our partners have launched more than 60 G-SYNC-capable monitors and laptops, enabling smooth play without screen tear artifact. eSports too continues to attract new gamers. Major tournaments with multi-million dollar purses are drawing enormous audiences. This last quarter, Dota 2 held its first major tournament of the season in Boston. Tickets sold out in minutes. The prize pool reached $3 million, and millions of gamers watched online.
Moving to Professional Visualization, Quadro revenue grew 11% from a year ago to a record $225 million, driven by demand for high-end, real-time rendering and mobile workstations. We recently launched a family of Pascal-based GPUs designed for mobile workstations which leading OEMs are embracing. Earlier this week, we introduced Quadro GP100, which creates a new supercomputing workstation. This new type of workstation enables engineers, designers and artists to take advantage of new technologies of photorealism, fluid simulation and deep learning.
Next, Datacenter; revenue more than tripled from a year ago, and was up 23% sequentially to $296 million. Growth was driven by AI, cloud service providers deploying GPU instances, High Performance Computing, GRID graphics virtualization, and our DGX AI supercomputing appliance. AI is transforming industries worldwide. The first adopters were hyperscale companies like Microsoft, Facebook and Google, which use deep learning to provide billions to customers with AI services that utilizes image recognition and voice processing. The next area of growth will occur as enterprise in such fields as health care, retail, transportation and finance embrace deep learning on GPUs. At November's SC 2016 Supercomputing Conference, Microsoft announced that its GPU-accelerated Microsoft Cognitive Toolkit is available both in Azure cloud and on premises with our DGX-1 AI supercomputer. In a series of related announcements at SG 2016, we described our plans to join the Cancer Moonshot project in conjunction with the National Cancer Institute, the U.S. Department of Energy and several national labs, to help build predictive models and guide treatment under this project. We are collaborating on a new AI framework called, CANDLE, the Cancer Distributed Learning Environment. And to support this work, we unveiled our new own supercomputer, the NVIDIA DGX SATURNV, which joins together 124 DGX-1 systems. It's currently the world's 28th fastest supercomputer, and the number one system in energy efficiency. Our GRID, graphics, virtualization business doubled year-on-year, driven by strong growth in the education, automotive, and energy sectors. We are excited to be hosting our eighth annual GPU Technology Conference here in Silicon Valley from May 8 to May 11. This will be the year's most important event for AI and accelerated computing. And we expect it to be our largest GTC yet, attended by thousands of application developers, scientists and academics, as well as entrepreneurs and corporate executives.
Finally, in Automotive, revenue grew to a record $128 million, up 38% year-over-year. At Jen-Hsun's CES opening keynote, we demonstrated our leadership position in self-driving vehicles. With a growing list of industry players adopting our AI car platform, we also showcased AI co-pilot, a technology that will recognize a driver and their preferences, monitor their alertness, understand natural spoken language, and provide alerts in dangerous situations. One of the highlights at CES was the demonstration of our own autonomous car, dubbed BB8. More than 500 passengers took rides in the back seat without a driver behind the wheel. We announced a number of new partnerships at the show. Among them were collaborations with Bosch, the world's largest automotive supplier and ZF, Europe's leading supplier for the truck industry, both centered on developing AI car computers with DRIVE PX 2 technology. We also announced that we're working on cloud-to-car mapping collaboration with HERE, focused on the U.S. and Europe, and ZENRIN, focused on Japan. These complement partnerships announced in Q3 with Europe's TomTom and China's Baidu. Our mapping partnerships spanned all geographies.
Jen-Hsun was joined on the CES stage by Audi of America's President, Scott Keogh. They announced the extension of our decade-long partnership to deliver cars with Level 4 autonomy starting in 2020, powered by DRIVE PX technology. Audi will deliver Level 3 autonomy in its A8 luxury sedan later this year through its zFAS system powered by NVIDIA. We also shared news at CES of our partnership with Mercedes-Benz to collaborate on a car that will be available by year's end. During the quarter, Tesla began delivering a new autopilot system powered by the NVIDIA DRIVE PX 2 platform in every new Model S and Model X, to be followed by the Model 3.
Tesla's cars will be capable of fully autonomous operation via future software updates. In addition, Volvo started turning over the keys to initial customers of its Drive Me program. Its XC90 SUVs equipped with DRIVE PX 2 are capable of fully autonomous operation on designated roads in Volvo's hometown of Gothenburg, Sweden. With NVIDIAs powering the market's only self-driving cars and partnerships with leading automakers, Tier 1 suppliers, and mapping companies, we feel very confident in our position as the transportation industry moves to autonomous vehicles. Next, our OEM and IP business was $176 million, down 11% year-on-year.
Now, turning to the rest of the income statement for Q4. Gross margins were at record levels with GAAP gross margins at 60%, and non-GAAP at 60.2%. These reflect the success of our platform approach, as well as strong demand for GeForce gaming GPUs and deep learning.
GAAP operating expenses were $570 million. Non-GAAP operating expenses were $498 million, up 12% from a year earlier, reflecting head count-related costs for our AI growth initiatives, as well as investments in sales and marketing. We are investing into huge market opportunities, AI, self-driving cars, cloud computing and gaming. Thus, we expect our operating expense growth rate to be in the high teens over the next several quarters. GAAP operating income was $733 million, and non-GAAP operating income was $809 million, both more than doubled from a year earlier.
Our GAAP tax rate was 10%, and our non-GAAP was 13%. These rates were lower than expected, primarily due to a decrease in the amount of earnings subject to U.S. tax. GAAP EPS was $0.99. Non-GAAP EPS was $1.13.
In fiscal year 2017, we returned $1 billion to shareholders through dividends and share repurchases, in line with our intention. For fiscal year 2018, we intend to return $1.25 billion to shareholders through dividends and share repurchases. Now, turning to the outlook for the first quarter of fiscal 2018.
We expect revenue to be $1.9 billion, plus or minus 2%. At the mid-point, this represents 46% growth over the prior year. We expect Datacenter to grow sequentially. Our GAAP and non-GAAP gross margins are expected to be 59.5% and 59.7%, respectively, plus or minus 50 basis points. This guidance assumes that our licensing agreement with Intel ends at March and does not renew.
GAAP operating expenses are expected to be approximately $603 million. Non-GAAP operating expenses are expected to be approximately $520 million. GAAP OI&E is expected to be an expense of approximately $20 million, including additional charges from the early conversions of convertible notes. Non-GAAP OI&E is expected to be an expense of approximately $4 million. GAAP and non-GAAP tax rates for the first quarter of fiscal 2018 are both expected to be 17%, plus or minus 1%, excluding any discrete items.
With that, I'm going to turn it back for the operator so we can open up for questions. Please limit your questions to just one. Operator, let's start with the questions.