NVIDIA's Deep Learning Car Computer Selected by Volvo on Journey Toward a Crash-Free Future

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CES--Volvo Cars will use the NVIDIA DRIVE PX 2 deep learning- based computing engine to power a fleet of 100 Volvo XC90 SUVs starting to hit the road next year in the Swedish carmaker's Drive Me autonomous-car pilot program, NVIDIA announced today. Autonomous technology is an important contributor to Volvo's Vision 2020 -- its guiding principles for creating safer vehicles. This work has resulted in world-leading advancements in autonomous and semi-autonomous driving, and a new safety benchmark for the automotive industry. "Our vision is that no one should be killed or seriously injured in a new Volvo by the year 2020," said Marcus Rothoff, director of the Autonomous Driving Program at Volvo Cars. "NVIDIA's high-performance and responsive automotive platform is an important step towards our vision and perfect for our autonomous drive program and the Drive Me project."


NVIDIA, IBM and Toyota Keynotes to Be Webcast Live From 2016 GPU Technology Conference

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SANTA CLARA, CA--(Marketwired - Mar 31, 2016) - NVIDIA (NASDAQ: NVDA) today announced that the three keynote addresses at its upcoming GPU Technology Conference (GTC) will be webcast live on the NVIDIA blog. GTC will showcase the vital role GPU technology plays in some of the industry's biggest trends, including artificial intelligence, virtual reality and self-driving cars. This year's event will feature more than 500 sessions with speakers from Alibaba, Audi, Baidu, Boeing, Facebook, Google, Microsoft, Oracle, Pixar, Raytheon, Samsung, Siemens, SpaceX and Twitter, among many others. GTC also includes a daylong event, the Emerging Companies Summit, on April 6, focused on GPU-based startups. Nearly 100 startups will participate this year, including an onstage competition among a dozen companies vying for 100,000.


NVIDIA, IBM and Toyota Keynotes to Be Webcast Live From 2016 GPU Technology Conference

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GTC will showcase the vital role GPU technology plays in some of the industry's biggest trends, including artificial intelligence, virtual reality and self-driving cars. About NVIDIA NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. Certain statements in this press release including, but not limited to, statements as to: the impact of GPU technology in artificial intelligence, virtual reality and self-driving cars are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended October 25, 2015.


NVIDIA, IBM and Toyota Keynotes to Be Webcast Live From 2016 GPU Technology Conference

#artificialintelligence

GTC will showcase the vital role GPU technology plays in some of the industry's biggest trends, including artificial intelligence, virtual reality and self-driving cars. About NVIDIA NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. Certain statements in this press release including, but not limited to, statements as to: the impact of GPU technology in artificial intelligence, virtual reality and self-driving cars are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended October 25, 2015.


NVIDIA and Microsoft Boost AI Cloud Computing with Launch of Industry-Standard Hyperscale GPU Accelerator

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SANTA CLARA, CA--(Marketwired - Mar 8, 2017) - NVIDIA (NASDAQ: NVDA) with Microsoft today unveiled blueprints for a new hyperscale GPU accelerator to drive AI cloud computing. Providing hyperscale data centers with a fast, flexible path for AI, the new HGX-1 hyperscale GPU accelerator is an open-source design released in conjunction with Microsoft's Project Olympus. HGX-1 does for cloud-based AI workloads what ATX -- Advanced Technology eXtended -- did for PC motherboards when it was introduced more than two decades ago. It establishes an industry standard that can be rapidly and efficiently embraced to help meet surging market demand. The new architecture is designed to meet the exploding demand for AI computing in the cloud -- in fields such as autonomous driving, personalized healthcare, superhuman voice recognition, data and video analytics, and molecular simulations.