News Releases - NVIDIA Newsroomhttp://nvidianews.nvidia.comAll Newsen-usThu, 07 Apr 2016 05:46:49 GMTThu, 07 Apr 2016 05:46:49 GMTiPressroomRobot Recycling Startup Sadako Snags $100,000 in NVIDIA’s Early Stage Challengehttps://blogs.nvidia.com/blog/2016/04/06/robot-recycling-sadako/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/5705c643602274efac72af0f_6early-700x394/6early-700x394_thmb.jpg" alt="6early-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsCorporateThu, 07 Apr 2016 02:30:36 GMTYou don’t need a robotic arm to reach out and snag our $100,000 Early Stage Challenge, held every year at our GPU Technology Conference, but it doesn’t hurt. Following a two-hour high-tech shoot out with a dozen fledging startups, Spain’s Sadako Technologies emerged on top, receiving on the spot a check for $100,000. Barcelona-based Sadako has […]

The post Robot Recycling Startup Sadako Snags $100,000 in NVIDIA’s Early Stage Challenge appeared first on The Official NVIDIA Blog.

]]>
Alain Tiquethttps://blogs.nvidia.com/blog/2016/04/06/robot-recycling-sadako/Thu, 07 Apr 2016 02:08:00 GMT
IBM Shows Off Machines That Can Dance — and Sense the Sadness and Anger in Your Dating Profile — at GTC  https://blogs.nvidia.com/blog/2016/04/06/ibm-watson-gtc-high/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/570573c3602274efae74eb33_watson-key-700x394/watson-key-700x394_thmb.jpg" alt="watson-key-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsWed, 06 Apr 2016 20:38:38 GMTYou may talk about taking long walks at the beach and beginning a new chapter in your life. But everyone can see through you. And so can at least one machine out there. Rob High, IBM Fellow, VP and chief technology officer for Watson, showed how IBM’s Watson cognitive computing technology can tease out the […]

The post IBM Shows Off Machines That Can Dance — and Sense the Sadness and Anger in Your Dating Profile — at GTC   appeared first on The Official NVIDIA Blog.

]]>
Brian Caulfieldhttps://blogs.nvidia.com/blog/2016/04/06/ibm-watson-gtc-high/Wed, 06 Apr 2016 20:24:00 GMT
Free Roaming Surfboard, Autonomous Flying Machines, Package Delivery Bots Swarm GPU Technology Conferencehttps://blogs.nvidia.com/blog/2016/04/06/autonomous-machines-gtc/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/57055e68602274efae74a675_6autonomous-700x394/6autonomous-700x394_thmb.jpg" alt="6autonomous-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsWed, 06 Apr 2016 19:07:32 GMTSome fly. Some swim. Others roam your streets. Our GPU Technology Conference is crawling this week with autonomous machines. Powered by our Jetson TX1 embedded computing modules, these autonomous vehicles often boast superhuman levels of perception. They’re positioned to take advantage of powerful GPU-accelerated servers that — connected to this new breed of machines through […]

The post Free Roaming Surfboard, Autonomous Flying Machines, Package Delivery Bots Swarm GPU Technology Conference appeared first on The Official NVIDIA Blog.

]]>
Tony Kontzerhttps://blogs.nvidia.com/blog/2016/04/06/autonomous-machines-gtc/Wed, 06 Apr 2016 19:00:00 GMT
Speech Recognition, Simplified, in New Work Done with GPUshttps://blogs.nvidia.com/blog/2016/04/06/speech-recognition-gpus/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/570545fb602274efae7491db_sound_wave-700x394px/sound_wave-700x394px_thmb.jpg" alt="sound_wave-700x394px" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsWed, 06 Apr 2016 17:23:13 GMTSpeech recognition has come a long way from its clunky beginnings to today, when it’s used to interact with everything from cellphones to cars to computers. But even faster, even more accurate speech recognition could be on the horizon, thanks to researchers from Carnegie Mellon and Google Brain. The researchers took a new approach to […]

The post Speech Recognition, Simplified, in New Work Done with GPUs appeared first on The Official NVIDIA Blog.

]]>
Jamie Becketthttps://blogs.nvidia.com/blog/2016/04/06/speech-recognition-gpus/Wed, 06 Apr 2016 17:00:00 GMT
Driving Change: Volvo's “Drive Me Project” to Make Self-Driving Cars Synonymous with Safetyhttps://blogs.nvidia.com/blog/2016/04/06/volvo-safety-self-driving/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/57052ad5602274efad72fa41_volvo-exterior-hero-700x394/volvo-exterior-hero-700x394_thmb.jpg" alt="volvo-exterior-hero-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsAutomotiveWed, 06 Apr 2016 15:47:30 GMTVolvo has long been synonymous with safety. Now, the Swedish automaker’s latest efforts could make self-driving cars synonymous with safety, too. More than 500 attendees at our annual GPU Technology Conference heard how Volvo plans to use NVIDIA DRIVE as part of its “Drive Me Project,” which will put 100 test vehicles on a defined […]

The post Driving Change: Volvo’s “Drive Me Project” to Make Self-Driving Cars Synonymous with Safety appeared first on The Official NVIDIA Blog.

]]>
Tony Kontzerhttps://blogs.nvidia.com/blog/2016/04/06/volvo-safety-self-driving/Wed, 06 Apr 2016 15:00:00 GMT
Medical Marvel: Duke’s GPU-Powered Imaging Wins $150,000 Global Impact Awardhttps://blogs.nvidia.com/blog/2016/04/06/duke/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/57052f68602274efae7471d8_Anterior-Segment-Rendering-700x394/Anterior-Segment-Rendering-700x394_thmb.jpg" alt="Anterior-Segment-Rendering-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsCorporateWed, 06 Apr 2016 15:47:00 GMTDuke University researchers have received NVIDIA’s $150,000 Global Impact Award for their work using GPU-powered imaging techniques that give surgeons a 3D, stereoscopic live feed while performing highly sensitive ocular microsurgery. Nearly 30 applications from 13 nations were submitted for the annual award, which recognizes researchers using NVIDIA technology for groundbreaking work that addresses social, […]

The post Medical Marvel: Duke’s GPU-Powered Imaging Wins $150,000 Global Impact Award appeared first on The Official NVIDIA Blog.

]]>
Tonie Hansenhttps://blogs.nvidia.com/blog/2016/04/06/duke/Wed, 06 Apr 2016 14:00:00 GMT
NVIDIA Pascal GPUs to Double Speed of Europe's Fastest Supercomputer http://nvidianews.nvidia.com/news/nvidia-pascal-gpus-to-double-speed-of-europe-s-fastest-supercomputerreleasesNVIDIA Tesla Platform Will Help Swiss Scientists Solve Complex Problems<![CDATA[<p>SAN JOSE, CA - <strong> GPU Technology Conference -- </strong>NVIDIA (<exchange name="NASDAQ">NASDAQ</exchange>: <ticker name="NVDA">NVDA</ticker>)&nbsp;today announced that <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690119&amp;type=1&amp;url=http%3a%2f%2fwww.nvidia.com%2fobject%2fgpu-architecture.html%23source%3dpr" rel="nofollow">Pascal&trade; architecture</a>-based <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690122&amp;type=1&amp;url=http%3a%2f%2fwww.nvidia.com%2ftesla%23source%3dpr" rel="nofollow">NVIDIA&reg; Tesla&reg; GPU accelerators</a> will power an upgraded version of Europe&#39;s fastest supercomputer, the Piz Daint system at the Swiss National Supercomputing Center (CSCS) in Lugano, Switzerland. The upgrade is expected to more than double Piz Daint&#39;s speed, with most of the system&#39;s performance expected to come from its Tesla GPUs.</p> <p>Piz Daint, named after a mountain in the Swiss Alps, currently delivers 7.8 petaflops of compute performance, or 7.8 quadrillion mathematical calculations per second. That puts it at No. 7 in the latest TOP500 list of the world&#39;s fastest supercomputers. CSCS plans to upgrade the system later this year with 4,500 Pascal-based GPUs.</p> <p>Pascal is the most advanced GPU architecture ever built, delivering unmatched performance and efficiency to power the most computationally demanding applications. Pascal-based Tesla GPUs will allow researchers to solve larger, more complex problems that are currently out of reach in cosmology, materials science, seismology, climatology and a host of other fields.</p> <p>Pascal GPUs feature a number of breakthrough technologies, including second-generation High Bandwidth Memory (HBM2) that delivers three times higher bandwidth than the previous generation architecture, and 16nm FinFET technology for unprecedented energy efficiency. For scientists with near infinite computing needs, Pascal GPUs deliver a giant leap in application performance and time to discovery for their scientific research.</p> <p>The upgrade will enable CSCS scientists to do simulations, data analysis and visualizations faster and more efficiently. Piz Daint will be used to analyze data from the Large Hadron Collider at CERN, the world&#39;s largest particle accelerator. The upgrade will also accelerate research on the Human Brain Project&#39;s High Performance Analytics and Computing Platform, which currently uses Piz Daint. The project&#39;s goal is to build neuromorphic computing systems that use the same principles of computation and cognitive architectures as the brain. The upgrade will also facilitate CSCS research in geophysics, cosmology and materials science.</p> <p>&quot;We are taking advantage of NVIDIA GPUs to significantly accelerate simulations in such diverse areas as cosmology, materials science, seismology and climatology,&quot; said Thomas Schulthess, professor of computational physics at <a href="http://ctt.marketwire.com/?release=952740&amp;id=2269288&amp;type=1&amp;url=http%3a%2f%2fwww.ethz.ch%2f" rel="nofollow">ETH Zurich</a> and director of the <a href="http://ctt.marketwire.com/?release=952740&amp;id=2269291&amp;type=1&amp;url=http%3a%2f%2fwww.cscs.ch%2f" rel="nofollow">Swiss National Supercomputing Center</a>. &quot;Tesla accelerators represent a leap forward in computing, allowing our researchers to solve larger, more complex problems that are currently out of reach in a host of fields.&quot;</p> <p>&quot;CSCS scientists are using Piz Daint to tackle some of the most important computational challenges of our day, like modeling the human brain and uncovering new insights into the origins of the universe,&quot; said Ian Buck, vice president of Accelerated Computing at NVIDIA. &quot;Tesla GPUs deliver a massive leap in application performance, allowing CSCS to push the limits of scientific discovery.&quot;</p> <p><strong>Keep Current on NVIDIA</strong><br /> Subscribe to the <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690125&amp;type=1&amp;url=http%3a%2f%2fblogs.nvidia.com%2f" rel="nofollow">NVIDIA blog</a>, follow us on <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690128&amp;type=1&amp;url=https%3a%2f%2fwww.facebook.com%2fNVIDIA" rel="nofollow">Facebook</a>, <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690131&amp;type=1&amp;url=https%3a%2f%2fplus.google.com%2f%2bNVIDIA" rel="nofollow">Google+</a>, <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690134&amp;type=1&amp;url=https%3a%2f%2ftwitter.com%2fnvidia" rel="nofollow">Twitter</a>, <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690137&amp;type=1&amp;url=http%3a%2f%2fwww.linkedin.com%2fcompany%2fnvidia" rel="nofollow">LinkedIn</a> and <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690140&amp;type=1&amp;url=http%3a%2f%2finstagram.com%2fnvidia" rel="nofollow">Instagram</a>, and view NVIDIA videos on <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690143&amp;type=1&amp;url=http%3a%2f%2fwww.youtube.com%2fuser%2fnvidia" rel="nofollow">YouTube</a> and images on <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690146&amp;type=1&amp;url=https%3a%2f%2fwww.flickr.com%2fphotos%2fnvidia" rel="nofollow">Flickr</a>.</p> <div class="boilerplate"> <p><strong>About NVIDIA</strong><br /> <a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690149&amp;type=1&amp;url=http%3a%2f%2fwww.nvidia.com%2f%23source%3dpr" rel="nofollow">NVIDIA</a>&nbsp;(NASDAQ:&nbsp;<a href="http://www.marketwired.com/news_room/Stock?ticker=NVDA" rel="nofollow">NVDA</a>) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world&#39;s the most demanding users -- gamers, designers and scientists -- with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. More information at&nbsp;<a href="http://ctt.marketwire.com/?release=1252528&amp;id=8690152&amp;type=1&amp;url=http%3a%2f%2fnvidianews.nvidia.com%2f%23source%3dpr" rel="nofollow">http://nvidianews.nvidia.com/</a>.</p> <p>Certain statements in this press release including, but not limited to, statements as to: the impact, performance, benefits and availability of NVIDIA Pascal architecture-based Tesla GPU accelerators 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&#39; 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-K for the fiscal period ended January 31, 2016. Copies of reports filed with the SEC are posted on the company&#39;s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.</p> <hr /> <p>&copy; 2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Pascal and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.</p> </div> ]]>Press ReleasesWed, 06 Apr 2016 07:09:19 GMThttp://nvidianews.nvidia.com/news/nvidia-pascal-gpus-to-double-speed-of-europe-s-fastest-supercomputerWed, 06 Apr 2016 07:00:00 GMTBetter Drinking Through GPU-Powered Facial Recognition at GTChttps://blogs.nvidia.com/blog/2016/04/05/face-recognition-youbar-gtc/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/5704b5a0602274efae747178_5bar-700x394/5bar-700x394_thmb.jpg" alt="5bar-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsWed, 06 Apr 2016 07:09:38 GMTWe all know the cameras are out there. In banks and government buildings. In trains stations and outside warehouses. They’re capturing images of people’s faces to help  prevent nefarious activity. And at GTC, they’re capturing your drink order. Herta Security, whose facial recognition technology powers security efforts at facilities worldwide, has teamed up with NVIDIA […]

The post Better Drinking Through GPU-Powered Facial Recognition at GTC appeared first on The Official NVIDIA Blog.

]]>
Tony Kontzerhttps://blogs.nvidia.com/blog/2016/04/05/face-recognition-youbar-gtc/Wed, 06 Apr 2016 03:59:00 GMT
What We Just Announced at Our 2016 GPU Technology Conferencehttps://blogs.nvidia.com/blog/2016/04/05/2016-gpu-technology-conference/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/570419d8602274efab72118e_NVIDIA-logo-on-screen-700x394/NVIDIA-logo-on-screen-700x394_thmb.jpg" alt="NVIDIA-logo-on-screen-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsCorporateTue, 05 Apr 2016 20:02:37 GMTAs artificial intelligence sweeps across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars. Before a record crowd of more than 5,000 scientists, engineers, entrepreneurs and global press, NVIDIA CEO and Co-founder Jen-Hsun Huang unveiled the world’s […]

The post What We Just Announced at Our 2016 GPU Technology Conference appeared first on The Official NVIDIA Blog.

]]>
Bob Sherbinhttps://blogs.nvidia.com/blog/2016/04/05/2016-gpu-technology-conference/Tue, 05 Apr 2016 19:00:00 GMT
Go, Autonomous Speed Racer, Go! NVIDIA DRIVE PX 2 to Power World’s First Robotic Motor Sports Competitionhttps://blogs.nvidia.com/blog/2016/04/05/roborace/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/57040972602274efae73d359_5roborace_Front_Green_4000px-700x394/5roborace_Front_Green_4000px-700x394_thmb.jpg" alt="5roborace_Front_Green_4000px-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsAutomotiveTue, 05 Apr 2016 18:52:40 GMTFernando Alonso’s terrifying F1 crash last month at the Australian Grand Prix shows how far humans will push a car for the pursuit of performance. What if we could push racecars to the new levels of performance without endangering lives? To find out, we’re putting our DRIVE PX 2 AI supercomputer into the cars that […]

The post Go, Autonomous Speed Racer, Go! NVIDIA DRIVE PX 2 to Power World’s First Robotic Motor Sports Competition appeared first on The Official NVIDIA Blog.

]]>
Danny Shapirohttps://blogs.nvidia.com/blog/2016/04/05/roborace/Tue, 05 Apr 2016 18:10:00 GMT
Beyond GPS: How HD Maps Will Show Self-Driving Cars the Wayhttps://blogs.nvidia.com/blog/2016/04/05/self-driving-cars-2/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/570401a3602274efad72a1e9_MainMarinerimage-700x394/MainMarinerimage-700x394_thmb.jpg" alt="MainMarinerimage-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsAutomotiveTue, 05 Apr 2016 18:19:21 GMTDrivers have always needed maps, and self-driving cars are no exception. In fact, highly accurate maps are crucial to making autonomous vehicles a reality. Enter NVIDIA’s end-to-end mapping platform for self-driving cars announced today by NVIDIA CEO Jen-Hsun Huang at the GPU Technology Conference. This system is designed to help automakers, map companies and startups […]

The post Beyond GPS: How HD Maps Will Show Self-Driving Cars the Way appeared first on The Official NVIDIA Blog.

]]>
Danny Shapirohttps://blogs.nvidia.com/blog/2016/04/05/self-driving-cars-2/Tue, 05 Apr 2016 18:00:00 GMT
NVIDIA, Massachusetts General Hospital Use Artificial Intelligence to Advance Radiology, Pathology, Genomics http://nvidianews.nvidia.com/news/nvidia-massachusetts-general-hospital-use-artificial-intelligence-to-advance-radiology-pathology-genomicsreleases<![CDATA[<p><strong>GPU Technology Conference 2016 --&nbsp;</strong>NVIDIA&nbsp;today announced that it is a founding technology partner of the MGH Clinical Data Science Center, which aims to advance healthcare by applying the latest artificial intelligence techniques to improve the detection, diagnosis, treatment and management of diseases.</p> <p>Massachusetts General Hospital -- which conducts the largest hospital-based research program in the United States, and is the top-ranked hospital on this year&#39;s <em>US News and World Report </em>&quot;Best Hospitals&quot; list -- recently established the MGH Clinical Data Science Center in Boston. The center will train a deep neural network using Mass General&#39;s vast stores of phenotypic, genetics and imaging data. The hospital has a database containing some 10 billion medical images.</p> <p>To process this massive amount of data, the center will deploy the <a href="http://www.nvidia.com/dgx1#source=pr" rel="nofollow">NVIDIA&reg; DGX-1&trade;</a>&nbsp;-- a server designed for AI applications, launched earlier today at the GPU Technology Conference -- and deep learning algorithms created by NVIDIA engineers and Mass General data scientists.</p> <p>&quot;Deep learning is revolutionizing a wide range of scientific fields,&quot; said Jen-Hsun Huang, CEO and co-founder, NVIDIA. &quot;There could be no more important application of this new capability than improving patient care. This work will one day benefit millions of people by extending the capabilities of physicians with an incredibly powerful new tool.&quot;</p> <p>Using AI, physicians can compare a patient&#39;s symptoms, tests and history with insight from a vast population of other patients. Initially, the MGH Clinical Data Science Center will focus on the fields of radiology and pathology -- which are particularly rich in images and data -- and then expand into genomics and electronic health records.</p> <p>&quot;We now have the ability to expand the field of radiology beyond its predominant state of providing visualization for human interpretation,&quot; said Dr. Keith J. Dreyer, vice chairman of Radiology at Mass General, associate professor of radiology at Harvard Medical School and executive director of the center. &quot;Guided by precision healthcare, we are entering the radiological era of biometric quantification, where our interpretations will be enhanced by algorithms learned from the diagnostic data of vast patient populations. Without the processing capabilities of GPUs, this would not be possible.&quot;</p> <p><strong>Keep Current on NVIDIA</strong><br /> Subscribe to the <a href="http://blogs.nvidia.com/" rel="nofollow">NVIDIA blog</a>, follow us on <a href="https://www.facebook.com/NVIDIA" rel="nofollow">Facebook</a>, <a href="https://plus.google.com/+NVIDIA" rel="nofollow">Google+</a>, <a href="https://twitter.com/nvidia" rel="nofollow">Twitter</a>, <a href="http://www.linkedin.com/company/nvidia" rel="nofollow">LinkedIn</a> and <a href="http://instagram.com/nvidia" rel="nofollow">Instagram</a>, and view NVIDIA videos on <a href="http://www.youtube.com/user/nvidia" rel="nofollow">YouTube</a> and images on <a href="https://www.flickr.com/photos/nvidia" rel="nofollow">Flickr</a>.</p> <div class="boilerplate"> <p><strong>About NVIDIA</strong><br /> <a href="http://www.nvidia.com/#source=pr" rel="nofollow">NVIDIA</a>&nbsp;(NASDAQ:&nbsp;<a href="http://www.marketwired.com/news_room/Stock?ticker=NVDA" rel="nofollow">NVDA</a>) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world&#39;s the most demanding users -- gamers, designers and scientists -- with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. More information at&nbsp;<a href="http://nvidianews.nvidia.com/#source=pr" rel="nofollow">http://nvidianews.nvidia.com/</a>.</p> <p>Certain statements in this press release including, but not limited to, statements as to: the importance of AI; and the benefits of the NVIDIA DGX-1 server and deep learning algorithms 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&#39; 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-K for the fiscal year ended January 31, 2016. Copies of reports filed with the SEC are posted on the company&#39;s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.</p> <hr /> <p>&copy; 2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, and DGX-1 are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.</p> </div> ]]>Press ReleasesTue, 05 Apr 2016 21:04:46 GMThttp://nvidianews.nvidia.com/news/nvidia-massachusetts-general-hospital-use-artificial-intelligence-to-advance-radiology-pathology-genomicsTue, 05 Apr 2016 17:57:00 GMTA Masterpiece of Deep Learning: GTC Provides Canvas for a Revolutionary Style of Artificial Intelligencehttps://blogs.nvidia.com/blog/2016/04/05/artificial-intelligence/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/5703fd9e602274efae73d2ee_5painting-van-gogh-698329_1920-700x394/5painting-van-gogh-698329_1920-700x394_thmb.jpg" alt="5painting-van-gogh-698329_1920-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsTue, 05 Apr 2016 18:02:14 GMTCan a machine become an artist? One of the most beautiful demos at this year’s GPU Technology Conference might help make up your mind. The DCGAN, or deep convolutional generative adversarial networks, demo has a computer take thousands of works of art that share similar features — say seascapes from Victorian artists. It then processes […]

The post A Masterpiece of Deep Learning: GTC Provides Canvas for a Revolutionary Style of Artificial Intelligence appeared first on The Official NVIDIA Blog.

]]>
Bea Longworthhttps://blogs.nvidia.com/blog/2016/04/05/artificial-intelligence/Tue, 05 Apr 2016 17:45:00 GMT
NVIDIA Launches World's First Deep Learning Supercomputer http://nvidianews.nvidia.com/news/nvidia-launches-world-s-first-deep-learning-supercomputerreleases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/5703fb51602274efae73d2de_95639_NVIDIA_DGX-1_KV_2000px/95639_NVIDIA_DGX-1_KV_2000px_thmb.jpg" alt="The NVIDIA DGX-1 is the world's first deep learning supercomputer." align="left" hspace="15" vspace="5" />NVIDIA DGX-1 Delivers Deep Learning Throughput of 250 Servers to Meet Massive Computing Demands of Artificial Intelligence<![CDATA[<p><strong>GPU Technology Conference 2016 -- </strong>NVIDIA today unveiled the <a href="http://www.nvidia.com/dgx1#source=pr" rel="nofollow">NVIDIA&reg; DGX-1&trade;</a>, the world&#39;s first deep learning supercomputer to meet the unlimited computing demands of artificial intelligence.</p> <p>The NVIDIA DGX-1 is the first system designed specifically for deep learning -- it comes fully integrated with hardware, deep learning software and development tools for quick, easy deployment. It is a turnkey system that contains a new generation of GPU accelerators, delivering the equivalent throughput of 250 x86 servers.<sup>1</sup></p> <p>The DGX-1 deep learning system enables researchers and data scientists to easily harness the power of GPU-accelerated computing to create a new class of intelligent machines that learn, see and perceive the world as humans do. It delivers unprecedented levels of computing power to drive next-generation AI applications, allowing researchers to dramatically reduce the time to train larger, more sophisticated deep neural networks.</p> <p>NVIDIA designed the DGX-1 for a new computing model to power the AI revolution that is sweeping across science, enterprises and increasingly all aspects of daily life. Powerful deep neural networks are driving a new kind of software created with massive amounts of data, which require considerably higher levels of computational performance.</p> <p>&quot;Artificial intelligence is the most far-reaching technological advancement in our lifetime,&quot; said Jen-Hsun Huang, CEO and co-founder of NVIDIA. &quot;It changes every industry, every company, everything. It will open up markets to benefit everyone. Data scientists and AI researchers today spend far too much time on home-brewed high performance computing solutions. The DGX-1 is easy to deploy and was created for one purpose: to unlock the powers of superhuman capabilities and apply them to problems that were once unsolvable.&quot;</p> <p><strong>Powered by Five Breakthroughs </strong><br /> The NVIDIA DGX-1 deep learning system is built on NVIDIA Tesla&reg; P100 GPUs, based on the new NVIDIA Pascal&trade; GPU architecture. It provides the throughput of 250 CPU-based servers, networking, cables and racks -- all in a single box.</p> <p>The DGX-1 features four other breakthrough technologies that maximize performance and ease of use. These include the <a href="http://www.nvidia.com/object/nvlink.html#source=pr" rel="nofollow">NVIDIA NVLink&trade; high-speed interconnect</a> for maximum application scalability; 16nm FinFET fabrication technology for unprecedented energy efficiency; Chip on Wafer on Substrate with HBM2 for big data workloads; and new half-precision instructions to deliver more than 21 teraflops of peak performance for deep learning.</p> <p>Together, these major technological advancements enable DGX-1 systems equipped with Tesla P100 GPUs to deliver over 12x faster training than four-way NVIDIA Maxwell&trade; architecture-based solutions from just one year ago.</p> <p>The Pascal architecture has strong support from the artificial intelligence ecosystem.</p> <p>&quot;NVIDIA GPU is accelerating progress in AI. As neural nets become larger and larger, we not only need faster GPUs with larger and faster memory, but also much faster GPU-to-GPU communication, as well as hardware that can take advantage of reduced-precision arithmetic. This is precisely what Pascal delivers,&quot; said Yann LeCun, director of AI Research at Facebook.</p> <p>Andrew Ng, chief scientist at Baidu, said: &quot;AI computers are like space rockets: The bigger the better. Pascal&#39;s throughput and interconnect will make the biggest rocket we&#39;ve seen yet.&quot;</p> <p>&quot;Microsoft is developing super deep neural networks that are more than 1,000 layers,&quot; said Xuedong Huang, chief speech scientist at Microsoft Research. &quot;NVIDIA Tesla P100&#39;s impressive horsepower will enable Microsoft&#39;s CNTK to accelerate AI breakthroughs.&quot;</p> <p><strong>Comprehensive Deep Learning Software Suite</strong><br /> The NVIDIA DGX-1 system includes a complete suite of optimized <a href="https://developer.nvidia.com/deep-learning#source=pr" rel="nofollow">deep learning software</a> that allows researchers and data scientists to quickly and easily train deep neural networks.</p> <p>The DGX-1 software includes the <a href="https://developer.nvidia.com/digits#source=pr" rel="nofollow">NVIDIA Deep Learning GPU Training System (DIGITS&trade;)</a>, a complete, interactive system for designing deep neural networks (DNNs). It also includes the newly released <a href="https://devblogs.nvidia.com/parallelforall#source=pr" rel="nofollow">NVIDIA CUDA&reg; Deep Neural Network library (cuDNN) version 5</a>, a GPU-accelerated library of primitives for designing DNNs.</p> <p>It also includes optimized versions of several widely used deep learning frameworks -- Caffe, Theano and Torch. The DGX-1 additionally provides access to cloud management tools, software updates and a repository for containerized applications.</p> <p><strong>System Specifications</strong><br /> The NVIDIA DGX-1 system specifications include:</p> <ul style="list-style-type: disc"> <li>Up to 170 teraflops of half-precision (FP16) peak performance</li> <li>Eight Tesla P100 GPU accelerators, 16GB memory per GPU</li> <li>NVLink Hybrid Cube Mesh</li> <li>7TB SSD DL Cache</li> <li>Dual 10GbE, Quad InfiniBand 100Gb networking</li> <li>3U - 3200W</li> </ul> <p>Optional support services for the NVIDIA DGX-1 improve productivity and reduce downtime for production systems. Hardware and software support provides access to NVIDIA deep learning expertise, and includes cloud management services, software upgrades and updates, and priority resolution of critical issues. More information is available at <a href="http://www.nvidia.com/page/support/dgx1-support" rel="nofollow">www.nvidia.com/page/support/dgx1-support</a>.</p> <p><strong>Availability</strong><br /> General availability for the NVIDIA DGX-1 deep learning system in the United States is in June, and in other regions beginning in the third quarter direct from NVIDIA and select systems integrators.</p> <p><strong>Supporting Resources</strong></p> <ul style="list-style-type: disc"> <li><a href="https://www.youtube.com/watch?v=roCXXvI5wK4" rel="nofollow">Deep learning video</a></li> </ul> <p><strong>Keep Current on NVIDIA</strong><br /> Subscribe to the <a href="http://blogs.nvidia.com/" rel="nofollow">NVIDIA blog</a>, follow us on <a href="https://www.facebook.com/NVIDIA" rel="nofollow">Facebook</a>, <a href="https://plus.google.com/+NVIDIA" rel="nofollow">Google+</a>, <a href="https://twitter.com/nvidia" rel="nofollow">Twitter</a>, <a href="http://www.linkedin.com/company/nvidia" rel="nofollow">LinkedIn</a> and <a href="http://instagram.com/nvidia" rel="nofollow">Instagram</a>, and view NVIDIA videos on <a href="http://www.youtube.com/user/nvidia" rel="nofollow">YouTube</a> and images on <a href="https://www.flickr.com/photos/nvidia" rel="nofollow">Flickr</a>.</p> <div class="boilerplate"> <p><strong>About NVIDIA</strong><br /> <a href="http://www.nvidia.com/#source=pr" rel="nofollow">NVIDIA</a>&nbsp;(NASDAQ:&nbsp;<a href="http://www.marketwired.com/news_room/Stock?ticker=NVDA" rel="nofollow">NVDA</a>) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world&#39;s the most demanding users -- gamers, designers and scientists -- with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. More information at&nbsp;<a href="http://nvidianews.nvidia.com/" rel="nofollow">http://nvidianews.nvidia.com/</a>.</p> <p>(1)&nbsp;Compared to Caffe/AlexNet time to train ILSVRC-2012 dataset on cluster of two-socket Intel Xeon E5-2697 v3 processor-based systems with InfiniBand interconnect. 250-node performance estimated using source:&nbsp;<a href="https://software.intel.com/en-us/articles/caffe-training-on-multi-node-distributed-memory-systems-based-on-intel-xeon-processor-e5" rel="nofollow">https://software.intel.com/en-us/articles/caffe-training-on-multi-node-distributed-memory-systems-based-on-intel-xeon-processor-e5</a>.</p> <p>Certain statements in this press release including, but not limited to, statements as to: the impact, performance, benefits and availability of the NVIDIA DGX-1 deep learning system 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&#39; 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-K for the fiscal year ended January 31, 2016. Copies of reports filed with the SEC are posted on the company&#39;s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.</p> <hr /> <p>&copy; 2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tesla, NVIDIA DIGITS, DGX-1, Pascal, Maxwell, CUDA, and NVIDIA NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.</p> </div> ]]>Press ReleasesTue, 05 Apr 2016 18:04:16 GMThttp://nvidianews.nvidia.com/news/nvidia-launches-world-s-first-deep-learning-supercomputerTue, 05 Apr 2016 17:38:00 GMTNVIDIA Delivers Massive Performance Leap for Deep Learning, HPC Applications With NVIDIA Tesla P100 Accelerators http://nvidianews.nvidia.com/news/nvidia-delivers-massive-performance-leap-for-deep-learning-hpc-applications-with-nvidia-tesla-p100-acceleratorsreleases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/57033d4e602274af39dea8b3_NVIDIA_Tesla_P100_GPU_front4/NVIDIA_Tesla_P100_GPU_front4_thmb.jpg" alt="NVIDIA Tesla P100 Accelerator" align="left" hspace="15" vspace="5" />Five Architectural Breakthroughs Enable Servers to Deliver Over 12x Greater Performance Than Previous Architecture<![CDATA[<p><strong>GPU Technology Conference 2016 -- </strong>NVIDIA today introduced the NVIDIA&reg; Tesla&reg; P100 GPU, the most advanced hyperscale data center accelerator ever built.</p> <p>The latest addition to the <a href="http://www.nvidia.com/object/tesla-supercomputing-solutions.html#source=pr" rel="nofollow">NVIDIA Tesla Accelerated Computing Platform</a>, the Tesla P100 enables a new class of servers that can deliver the performance of hundreds of CPU server nodes. Today&#39;s data centers -- vast network infrastructures with numerous interconnected commodity CPU servers -- process large numbers of transactional workloads, such as web services. But they are inefficient at next-generation artificial intelligence and scientific applications, which require ultra-efficient, lightning-fast server nodes.</p> <p>Based on the new NVIDIA Pascal&trade; GPU architecture with five breakthrough technologies, the Tesla P100 delivers unmatched performance and efficiency to power the most computationally demanding applications.</p> <p>&quot;Our greatest scientific and technical challenges -- finding cures for cancer, understanding climate change, building intelligent machines -- require a near-infinite amount of computing performance,&quot; said Jen-Hsun Huang, CEO and co-founder, NVIDIA. &quot;We designed the Pascal GPU architecture from the ground up with innovation at every level. It represents a massive leap forward in computing performance and efficiency, and will help some of the smartest minds drive tomorrow&#39;s advances.&quot;</p> <p>Dr. John Kelly III, senior vice president, Cognitive Solutions and IBM Research, said: &quot;As we enter this new era of computing, entirely new approaches to the underlying technologies will be required to fully realize the benefits of AI and cognitive. The combination of NVIDIA GPUs and OpenPOWER technology is already accelerating Watson&#39;s learning of new skills. Together, IBM&#39;s Power architecture and NVIDIA&#39;s Pascal architecture with NVLink will further accelerate cognitive workload performance and advance the artificial intelligence industry.&quot;</p> <p><strong>Five Architectural Breakthroughs</strong><br /> The Tesla P100 delivers its unprecedented performance, scalability and programming efficiency based on five breakthroughs:</p> <ul style="list-style-type: disc"> <li><strong>NVIDIA Pascal architecture for exponential performance leap</strong> -- A Pascal-based Tesla P100 solution delivers over a 12x increase in neural network training performance compared with a previous-generation NVIDIA Maxwell&trade;-based solution.</li> <li><strong>NVIDIA NVLink for maximum application scalability</strong> -- The <a href="http://www.nvidia.com/object/nvlink.html#source=pr" rel="nofollow">NVIDIA NVLink&trade; high-speed GPU interconnect</a> scales applications across multiple GPUs, delivering a 5x acceleration in bandwidth compared to today&#39;s best-in-class solution<sup>1</sup>. Up to eight Tesla P100 GPUs can be interconnected with NVLink to maximize application performance in a single node, and IBM has implemented NVLink on its POWER8 CPUs for fast CPU-to-GPU communication.</li> <li><strong>16nm FinFET for unprecedented energy efficiency</strong> -- With 15.3 billion transistors built on 16 nanometer FinFET fabrication technology, the Pascal GPU is the world&#39;s largest FinFET chip ever built<sup>2</sup>. It is engineered to deliver the fastest performance and best energy efficiency for workloads with near-infinite computing needs.</li> <li><strong>CoWoS with HBM2 for big data workloads </strong>-- The Pascal architecture unifies processor and data into a single package to deliver unprecedented compute efficiency. An innovative approach to memory design, Chip on Wafer on Substrate (CoWoS) with HBM2, provides a 3x boost in memory bandwidth performance, or 720GB/sec, compared to the Maxwell architecture.</li> <li><strong>New AI algorithms for peak performance</strong> -- New half-precision instructions deliver more than 21 teraflops of peak performance for deep learning<strong>.</strong></li> </ul> <p>The Tesla P100 GPU accelerator delivers a new level of performance for a range of HPC and deep learning applications, including the AMBER molecular dynamics code, which runs faster on a single server node with Tesla P100 GPUs than on 48 dual-socket CPU server nodes<sup>3</sup>. Training the popular AlexNet deep neural network would take 250 dual-socket CPU server nodes to match the performance of eight Tesla P100 GPUs<sup>4</sup>. And the widely used weather forecasting application, COSMO, runs faster on eight Tesla P100 GPUs than on 27 dual-socket CPU servers<sup>5</sup>.</p> <p>The first accelerator to deliver more than 5 and 10 teraflops of double-precision and single-precision performance, respectively, the Tesla P100 provides a giant leap in processing capabilities and time-to-discovery for research across a broad spectrum of domains.</p> <p><strong>Updates to the NVIDIA SDK</strong><br /> NVIDIA also announced a host of updates to the <a href="https://developer.nvidia.com/#source=pr" rel="nofollow">NVIDIA SDK</a>, the world&#39;s most powerful development platform for GPU computing.</p> <p>These updates include <a href="https://devblogs.nvidia.com/parallelforall/#source=pr" rel="nofollow">NVIDIA CUDA&reg; 8</a>. The latest version of NVIDIA&#39;s parallel computing platform gives developers direct access to powerful new Pascal features, including unified memory and NVLink. Also included in this release is a new graph analytics library -- nvGRAPH -- which can be used for robotic path planning, cyber security and logistics analysis, expanding the application of GPU acceleration into the realm of big data analytics.</p> <p>NVIDIA also announced <a href="https://devblogs.nvidia.com/parallelforall#source=pr" rel="nofollow">cuDNN version 5</a>, a GPU-accelerated library of primitives for deep neural networks. cuDNN 5 includes Pascal GPU support; acceleration of recurrent neural networks, which are used for video and other sequential data; and additional enhancements used in medical, oil and gas, and other industries. cuDNN accelerates leading deep learning frameworks, including Google&#39;s TensorFlow, UC Berkeley&#39;s Caffe, University of Montreal&#39;s Theano and NYU&#39;s Torch. These, in turn, power deep learning solutions used by Amazon, Facebook, Google and others.</p> <p><strong>Tesla P100 Specifications</strong><br /> Specifications of the Tesla P100 GPU accelerator include:</p> <ul style="list-style-type: disc"> <li>5.3 teraflops double-precision performance, 10.6 teraflops single-precision performance and 21.2 teraflops half-precision performance with NVIDIA GPU BOOST&trade; technology</li> <li>160GB/sec bi-directional interconnect bandwidth with NVIDIA NVLink</li> <li>16GB of CoWoS HBM2 stacked memory</li> <li>720GB/sec memory bandwidth with CoWoS HBM2 stacked memory</li> <li>Enhanced programmability with page migration engine and unified memory</li> <li>ECC protection for increased reliability</li> <li>Server-optimized for highest data center throughput and reliability</li> </ul> <p><strong>Availability</strong><br /> General availability for the Pascal-based NVIDIA Tesla P100 GPU accelerator in the new NVIDIA DGX-1&trade; deep learning system is in June. It is also expected to be available beginning in early 2017 from leading server manufacturers.</p> <p><strong>Supporting Resources</strong></p> <ul style="list-style-type: disc"> <li><a href="https://www.youtube.com/watch?v=roCXXvI5wK4" rel="nofollow">Deep learning video</a></li> </ul> <p><strong>Keep Current on NVIDIA</strong><br /> Subscribe to the <a href="http://blogs.nvidia.com/" rel="nofollow">NVIDIA blog</a>, follow us on <a href="https://www.facebook.com/NVIDIA" rel="nofollow">Facebook</a>, <a href="https://plus.google.com/+NVIDIA" rel="nofollow">Google+</a>, <a href="https://twitter.com/nvidia" rel="nofollow">Twitter</a>, <a href="http://www.linkedin.com/company/nvidia" rel="nofollow">LinkedIn</a> and <a href="http://instagram.com/nvidia" rel="nofollow">Instagram</a>, and view NVIDIA videos on <a href="http://www.youtube.com/user/nvidia" rel="nofollow">YouTube</a> and images on <a href="https://www.flickr.com/photos/nvidia" rel="nofollow">Flickr</a>.</p> <div class="boilerplate"> <p><strong>About NVIDIA</strong><br /> <a href="http://www.nvidia.com/#source=pr" rel="nofollow">NVIDIA</a>&nbsp;(NASDAQ:&nbsp;<a href="http://www.marketwired.com/news_room/Stock?ticker=NVDA" rel="nofollow">NVDA</a>) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world&#39;s the most demanding users -- gamers, designers and scientists -- with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. More information at&nbsp;<a href="http://nvidianews.nvidia.com/" rel="nofollow">http://nvidianews.nvidia.com/</a>.</p> <p>(1)&nbsp;NVLink delivers 160GB/sec of bi-directional interconnect bandwidth, compared to PCIe x16 Gen3 that delivers 31.5GB/sec of bi-directional bandwidth.&nbsp;&nbsp;<br /> (2)&nbsp;NVIDIA Tesla P100 GPU has 15.3 billion 16nm FinFET transistors.&nbsp;<br /> (3)&nbsp;CPU system: 48 nodes, each node with 2x Intel E5-2680v3 12 core, 128GB DDR4, FDR IB interconnect. GPU system: Single node, 2x Intel E5-2698 v3 16 core, 512GB DDR4, 4x Tesla P100, NVLink interconnect.&nbsp;<br /> (4)&nbsp;Compared to Caffe/AlexNet time to train ILSVRC-2012 dataset on cluster of two-socket Intel Xeon E5-2697 v3 processor-based systems with InfiniBand interconnect. 250-node performance estimated using source:&nbsp;<a href="https://software.intel.com/en-us/articles/caffe-training-on-multi-node-distributed-memory-systems-based-on-intel-xeon-processor-e5" rel="nofollow">https://software.intel.com/en-us/articles/caffe-training-on-multi-node-distributed-memory-systems-based-on-intel-xeon-processor-e5</a>.&nbsp;<br /> (5)&nbsp;CPU system: 2x Intel E5-2698 v3 16 core, 256GB DDR4. GPU system: Single node, 2x Intel E5-2698 v3 16 core, 512GB DDR4, 8x Tesla P100, NVLink interconnect.</p> <p>Certain statements in this press release including, but not limited to, statements as to: the impact, performance, benefits and availability of the NVIDIA Tesla P100 GPU, the NVIDIA SDK and NVIDIA DGX-1 deep learning system 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&#39; 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-K for the fiscal year ended January 31, 2016. Copies of reports filed with the SEC are posted on the company&#39;s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.</p> <hr /> <p>&copy; 2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tesla, Pascal, Maxwell, NVIDIA NVLink, CUDA, NVIDIA GPU BOOST, and DGX-1 are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.</p> </div> ]]>Press ReleasesTue, 05 Apr 2016 19:02:47 GMThttp://nvidianews.nvidia.com/news/nvidia-delivers-massive-performance-leap-for-deep-learning-hpc-applications-with-nvidia-tesla-p100-acceleratorsTue, 05 Apr 2016 17:36:00 GMTNVIDIA Brings Interactive Photorealism to VR with Irayhttps://blogs.nvidia.com/blog/2016/04/05/vr-with-iray/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/5703f0a6602274efae73d2ca_5iray-barLoft_camHero_2K-700x394/5iray-barLoft_camHero_2K-700x394_thmb.jpg" alt="5iray-barLoft_camHero_2K-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsTue, 05 Apr 2016 17:10:30 GMTNVIDIA CEO Jen-Hsun Huang on Tuesday showed how our Iray technology can create interactive virtual worlds with unparalleled fidelity. Imagine being able to see any combination of options for a car interior you’re thinking of buying — in photorealistic detail — and from any angle. Or being able to experience the feeling of a new […]

The post NVIDIA Brings Interactive Photorealism to VR with Iray appeared first on The Official NVIDIA Blog.

]]>
Phil Millerhttps://blogs.nvidia.com/blog/2016/04/05/vr-with-iray/Tue, 05 Apr 2016 16:55:00 GMT
NVIDIA Details Major Software Updates to Sharpen GPU Computing’s Cutting Edgehttps://blogs.nvidia.com/blog/2016/04/05/nvidia-software/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/5703eac3602274efae73cf53_5software-700x394/5software-700x394_thmb.jpg" alt="5software-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsCorporateTue, 05 Apr 2016 16:45:26 GMTWhile NVIDIA is best known for our hardware platforms, our software plays a key role advancing the state of the art of GPU-accelerated computing. This body of work — the NVIDIA SDK — today got a significant update, announced at our annual GPU Technology Conference. It takes advantage of our new Pascal architecture and makes it easier than ever […]

The post NVIDIA Details Major Software Updates to Sharpen GPU Computing’s Cutting Edge appeared first on The Official NVIDIA Blog.

]]>
Greg Esteshttps://blogs.nvidia.com/blog/2016/04/05/nvidia-software/Tue, 05 Apr 2016 16:20:00 GMT
Journey to the Red Planet in 'Mars 2030' -- Out of This World VR Experience Debuts at GPU Technology Conference http://nvidianews.nvidia.com/news/journey-to-the-red-planet-in-mars-2030-out-of-this-world-vr-experience-debuts-at-gpu-technology-conferencereleases<![CDATA[<p><strong>GPU Technology Conference 2016 --</strong><span>&nbsp;Bringing to life the first steps of visiting our neighboring planet,&nbsp;</span><a href="http://www.geforce.com/mars2030#source=pr" rel="nofollow"><em>Mars 2030</em></a><span>, an interactive virtual reality experience, debuted today at the&nbsp;</span><a href="http://www.gputechconf.com/#source=pr" rel="nofollow">GPU Technology Conference</a><span>.</span></p> <p>Created by NVIDIA&nbsp;and FUSION, <em>Mars 2030</em> transports people in VR to the Red Planet, where they are immersed in the simulated life of one of the first arriving NASA astronauts. They can explore deep space, live in a realistic Martian habitat, drive across the planet&#39;s surface and drill into the surface of its ancient lake beds.</p> <p>Speaking at the GTC opening keynote, NVIDIA CEO and co-founder Jen-Hsun Huang introduced the experience to personal computing pioneer Steve &quot;Woz&quot; Wozniak over a video link powered by Cisco TelePresence. Wearing a VR headset, Woz, an advocate of Mars travel, said, &quot;Oh my gosh, this is going to be incredible for whoever actually gets to travel to Mars!&quot;</p> <p><em>Mars 2030</em> was developed using scientifically accurate satellite imagery and data gathered in years of exploration missions. It boasts a level of graphics fidelity that is only possible with <a href="https://developer.nvidia.com/vrworks#source=pr" rel="nofollow">NVIDIA&reg; VRWorks&trade; technologies</a>.</p> <p>&quot;One in a billion people alive today will get to visit Mars, so this is for the rest of us,&quot; said Zvi Greenstein, general manager of the GeForce business unit at NVIDIA. &quot;<em>Mars 2030</em> is being created as a true to life experience, while aiming for the highest visual fidelity possible in VR today, something only NVIDIA technology can deliver.&quot;</p> <p>NASA is providing technical expertise to FUSION through a Space Act Agreement to make the first Mars surface VR experience based on actual operational and hardware concepts that the agency is currently studying. <em>Mars 2030</em> incorporates VRWorks&#39; Multi-Res Shading, which renders each part of an image to best suit the pixel density required by a headset. It also includes VR SLI, which can assign multiple GPUs to a specific eye to accelerate stereo rendering.</p> <p>&quot;As a part of FUSION&#39;s commitment to innovative storytelling, we are always looking for unique ways to take our audience to interesting places,&quot; said Julian Reyes, lead VR producer at FUSION. &quot;We are thrilled that NVIDIA&#39;s latest technologies, combined with what NASA has planned for the next frontier of space exploration, will allow us to push visual boundaries, convincing users that they are 141 million miles away from home on the surface of Mars.&quot;</p> <p>GTC attendees can experience the first mission in <em>Mars 2030</em>, an exploration of an enormous Martian lava tube, from April 4-7 in the San Jose Convention Center.</p> <p>Expected to be commercially available in the fall, <em>Mars 2030</em> is optimized for NVIDIA&reg; GeForce&reg; and Quadro&reg; GPUs to give the environment an unparalleled level of authenticity.</p> <p>More details on <em>Mars 2030</em> are available at <a href="http://www.geforce.com/mars2030" rel="nofollow">http://www.geforce.com/mars2030</a>.</p> <p><strong>Keep Current on NVIDIA</strong><br /> Subscribe to the <a href="http://blogs.nvidia.com/" rel="nofollow">NVIDIA blog</a>, follow us on <a href="https://www.facebook.com/NVIDIA" rel="nofollow">Facebook</a>, <a href="https://plus.google.com/+NVIDIA" rel="nofollow">Google+</a>, <a href="https://twitter.com/nvidia" rel="nofollow">Twitter</a>, <a href="http://www.linkedin.com/company/nvidia" rel="nofollow">LinkedIn</a> and <a href="http://instagram.com/nvidia" rel="nofollow">Instagram</a>, and view NVIDIA videos on <a href="http://www.youtube.com/user/nvidia" rel="nofollow">YouTube</a> and images on <a href="https://www.flickr.com/photos/nvidia" rel="nofollow">Flickr</a>.</p> <div class="boilerplate"> <p><strong>About NVIDIA</strong><br /> <a href="http://www.nvidia.com/#source=pr" rel="nofollow">NVIDIA</a>&nbsp;(NASDAQ:&nbsp;<a href="http://www.marketwired.com/news_room/Stock?ticker=NVDA" rel="nofollow">NVDA</a>) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world&#39;s the most demanding users -- gamers, designers and scientists -- with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. More information at&nbsp;<a href="http://nvidianews.nvidia.com/#source=pr" rel="nofollow">http://nvidianews.nvidia.com/</a>.</p> <p>Certain statements in this press release including, but not limited to, statements as to the impact, performance, benefits and availability of VRWorks 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&#39; 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-K for the fiscal year ended January 31, 2016. Copies of reports filed with the SEC are posted on the company&#39;s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.</p> <hr /> <p>&copy; 2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, GeForce, Quadro and VRWorks are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.</p> </div> ]]>Press ReleasesTue, 05 Apr 2016 18:00:49 GMThttp://nvidianews.nvidia.com/news/journey-to-the-red-planet-in-mars-2030-out-of-this-world-vr-experience-debuts-at-gpu-technology-conferenceTue, 05 Apr 2016 16:09:00 GMTNVIDIA Accepting Applications for NVIDIA GRID Community Advisor Programhttps://blogs.nvidia.com/blog/2016/04/04/nvidia-grid/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/5703aeaf602274efad729a14_NV_GRID_FACEPLATE-700x394/NV_GRID_FACEPLATE-700x394_thmb.jpg" alt="NV_GRID_FACEPLATE-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsTue, 05 Apr 2016 12:25:56 GMTIf you want the chance to gain deeper insight into NVIDIA graphics virtualization strategies and technologies, including advance knowledge of future projects, then apply now for the NVIDIA GRID Community Advisor Program. Those selected for the program will be key technologists in the broader GRID customer and partner community. They’ll have the opportunity to work […]

The post NVIDIA Accepting Applications for NVIDIA GRID Community Advisor Program appeared first on The Official NVIDIA Blog.

]]>
Rachel Berryhttps://blogs.nvidia.com/blog/2016/04/04/nvidia-grid/Tue, 05 Apr 2016 05:54:00 GMT
Jen-Hsun Huang Kicks Off NVIDIA’s 2016 GPU Technology Conferencehttps://blogs.nvidia.com/blog/2016/04/04/gtc-live/releases<img src="http://cms.ipressroom.com.s3.amazonaws.com/219/files/20163/57027b9a602274efae7339e0_jen-hsun-huang-keynote-700x394/jen-hsun-huang-keynote-700x394_thmb.jpg" alt="jen-hsun-huang-keynote-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsCorporateMon, 04 Apr 2016 14:35:17 GMTArtificial intelligence. Autonomous vehicles. Virtual reality. The hottest trends in technology right now all converge on the GPU, and that’s why we can’t wait to start our GPU Technology Conference.   NVIDIA CEO Jen-Hsun Huang will give the opening keynote at our seventh annual GTC, in Silicon Valley, Tuesday at 9 am Pacific. We won’t […]

The post Jen-Hsun Huang Kicks Off NVIDIA’s 2016 GPU Technology Conference appeared first on The Official NVIDIA Blog.

]]>
Brian Caulfieldhttps://blogs.nvidia.com/blog/2016/04/04/gtc-live/Mon, 04 Apr 2016 14:00:00 GMT