CES 2016

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At CES 2016, we made a series of announcements highlighting our work to advance the biggest trends in the industry — self-driving cars, artificial intelligence and virtual reality. The focus of our news was NVIDIA DRIVE, an end-to-end deep learning platform for self-driving cars. “NVIDIA is quickly making itself the mainstream computer option for artificial intelligence, especially for the cars of the future.” — Popular Science

NVIDIA DRIVE PX 2 NVIDIA DIGITS

NVIDIA DRIVENET

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The combination of deep neural networks, big data and powerful GPU platforms has dramatically accelerated the advance of AI. Our strategy is to accelerate every deep learning development framework and system (left), leverage a single architecture across every computing platform (PC/cloud/ mobile), and create end-to-end solutions for select markets, such as automotive. The AI race is on. In 2015, GPU-powered deep learning systems exceeded human levels of perception for the first time.

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With the horsepower of 150 MacBook Pros, NVIDIA DRIVE PX 2 can perform 24 trillion deep learning operations per second. The size of a lunchbox, it can fit neatly into a trunk. And it’s based on a scalable architecture — the same that powers the world’s most advanced supercomputers. So it can be configured as a single-processor, air-cooled system for driver assistance, up to a four-processor, liquid-cooled system for autonomous driving. “Mr. Pratt [head of Toyota’s Silicon Valley AI Lab] said computers like NVIDIA’s are absolutely necessary for autonomous vehicles.”

— The Wall Street Journal

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The end-to-end DRIVE PX platform is loaded with software, including DIGITS, for training and visualizing deep neural networks, and DriveNet, our reference deep neural network. Compared to traditional computer vision approaches that use hand-coded rules to define the world surrounding a car, deep learning enables machines to learn from millions of images of actual driving situations. DriveNet has rapidly achieved remarkable results across many self-driving applications, from multi-class detection to segmentation, and in extremely adverse conditions, like snow.

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KITTI Dataset: Object Detection NVIDIA DriveNet

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The NVIDIA DriveWorks SDK gives developers a foundation to build applications across the self-driving pipeline — perception, localization, planning and visualization. And we can bring all of these technologies together into a beautiful cockpit visualization to give the driver confidence that the car is accurately seeing the world around him. “As a leading provider of graphical hardware for gamers and researchers alike, NVIDIA has a lot of expertise in building systems that can make sense of video input and make it something understandable.”

— Business Insider

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DRIVEWORKS

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Global automakers such as Audi, BMW, Daimler and Ford; Japanese robot taxi developer ZMP; and Toyota-partner Preferred Networks are already using NVIDIA DRIVE for their autonomous car R&D. In all, the open, programmable platform is being used by more than 50 automakers, tier 1 suppliers, software companies and startups.

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Volvo will use the NVIDIA DRIVE PX 2 deep learning platform to power a fleet of 100 Volvo XC90 SUVs starting next year in its Drive Me autonomous-car pilot program. Autonomous technology is an important piece of Volvo’s Vision 2020 to create safer vehicles. “Volvo’s decision to use the computer from NVIDIA … shows the staggering amount of processing power that may be necessary to guide self-driving cars.”

— Automotive News

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Our booth, which showcased live demos of the DRIVE platform and related work from our partners, was packed throughout the show. “The automotive industry is currently undergoing a gradual shift to autonomous cars and NVIDIA seems to be at the forefront of the technology. The launch of DRIVE PX 2 further accelerates the company’s race towards autonomous cars.” — Forbes

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VR is another mega-trend we’re fueling. At CES, we unveiled the “GeForce GTX VR Ready” program to help gamers navigate their way to an immersive VR experience. Excitement around VR grew with recent announcements from HTC and Oculus. Beyond gaming, VR has the potential to revolutionize areas such as medicine, architecture, education, product design and retail. “NVIDIA just made it easier to build a VR-ready gaming PC.”

— Tech Radar

“The VR demos NVIDIA was running had us both mesmerized and immersed.”

— Hot Hardware

“Oculus Rift and HTC Vive will require robust PC setups, backed up by graphics from companies such as NVIDIA.”

— USA Today

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Our announcements generated a lot of buzz, including 1,500 articles from top business, tech and automotive press, which resulted in a 56% share of voice in English-language media for “self-driving cars.” “Driverless Cars Steal the Show.”

— The Wall Street Journal

“NVIDIA’s DRIVE PX 2 Platform Gives it a Giant Leap in the Autonomous Car Market.”

— Forbes

“Volvo Taps NVIDIA, and the Power of 150 Laptops, for Self-Driving Cars.”

— Automotive News

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And our social media channels lit up… 127M IMPRESSIONS 412K ENGAGEMENTS 22K CONVERSATIONS