News Releases - NVIDIA Newsroomhttp://nvidianews.nvidia.comAll Newsen-usWed, 06 Jul 2016 22:29:16 GMTWed, 06 Jul 2016 22:29:16 GMTiPressroomFrom the Frontline: How Deep Learning Plays Critical Role in Military Problem-Solvinghttps://blogs.nvidia.com/blog/2016/06/29/deep-learning-6/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/57748c602cfac21e76b1acd2_fulllength-robotics-header-700x394/fulllength-robotics-header-700x394_thmb.jpg" alt="fulllength-robotics-header-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsThu, 30 Jun 2016 03:05:36 GMTCrunching vast tracts of data is a growing task for defense, intelligence and security agencies. They need analysis, fast, of what’s going on in the air and on the ground to assess battlefields, secure environments, and decide when and how to deploy people or humanitarian aid. Artificial intelligence may be the key to digesting the […]

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Jon Barkerhttps://blogs.nvidia.com/blog/2016/06/29/deep-learning-6/Thu, 30 Jun 2016 01:07:00 GMT
Student Supercomputing Teams Seize Victory in Frankfurt, Break Records with NVIDIA GPUshttps://blogs.nvidia.com/blog/2016/06/28/student-supercomputing/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/5772cdf92cfac21e75b07bb2_supercomputing-pipeline-650x394/supercomputing-pipeline-650x394_thmb.jpg" alt="supercomputing-pipeline-650x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsTue, 28 Jun 2016 19:20:34 GMTThe NVIDIA Tesla Accelerated Computing Platform has, once again, spurred student teams to wins and new heights of performance at last week’s ISC-HPCAC Student Cluster Competition in Frankfurt, Germany. Teams from South Africa and China both used Tesla GPU accelerators to earn top marks in the fifth annual competition. Indeed, 10 of the 12 competing […]

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Gary Rainvillehttps://blogs.nvidia.com/blog/2016/06/28/student-supercomputing/Tue, 28 Jun 2016 18:18:00 GMT
NVIDIA Virtualizes ArcGIS for Any User, on Any Devicehttps://blogs.nvidia.com/blog/2016/06/24/arcgis-cloud/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576da34e2cfac21e74b01a14_24-ArcGIS-700x394/24-ArcGIS-700x394_thmb.jpg" alt="24-ArcGIS-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsFri, 24 Jun 2016 21:17:12 GMTSubpar performance and a poor user experience can plague any geographic information systems (GIS) project accessed from the cloud. But with NVIDIA GRID and ArcGIS Pro, no map is too complex or dataset too large to be delivered remotely as a rich visualization. To get the most out of ArcGIS Pro, a leading application for […]

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Chip Carrhttps://blogs.nvidia.com/blog/2016/06/24/arcgis-cloud/Fri, 24 Jun 2016 20:43:00 GMT
DARPA Virtual Eye Lets Emergency Responders ‘See’ What They Can’t Seehttps://blogs.nvidia.com/blog/2016/06/23/darpa-virtual-eye/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576c0bb52cfac21e75b03a8d_23-darpa-virtual-eye-700x394/23-darpa-virtual-eye-700x394_thmb.jpg" alt="23-darpa-virtual-eye-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsThu, 23 Jun 2016 16:18:07 GMTThe best thing to give first responders before they enter a smoky room or the site of a chemical spill, or to soldiers before they enter a hostile bunker, is a picture of what’s inside. Exploring an unsecured space in 3D from a safe distance could be a matter of life or death. A team at […]

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Tony Kontzerhttps://blogs.nvidia.com/blog/2016/06/23/darpa-virtual-eye/Thu, 23 Jun 2016 16:00:00 GMT
Kinetica Helps U.S. Post Office Solve Big Data Problem, Wins Big HPC Awardhttps://blogs.nvidia.com/blog/2016/06/23/kinetica-big-data-workloads/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576bfea92cfac21e76b059e8_22-kinetica-700x394/22-kinetica-700x394_thmb.jpg" alt="22-kinetica-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsThu, 23 Jun 2016 15:22:23 GMTSnow, rain and gloom of night are minor concerns compared to the big data problem the U.S. Postal Service faces when coordinating delivery of more than 150 billion pieces of mail each year. After experiencing increased delays and instances of fraud, USPS turned to a high performance computing solution from NVIDIA and Kinetica, which just […]

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Jim McHughhttps://blogs.nvidia.com/blog/2016/06/23/kinetica-big-data-workloads/Thu, 23 Jun 2016 15:00:00 GMT
Diving Into Deep Learning to Save Coral Reefshttps://blogs.nvidia.com/blog/2016/06/22/deep-learning-save-coral-reefs/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576af15b2cfac21e76b04dc0_Great-Barrier-Reef-700x394/Great-Barrier-Reef-700x394_thmb.jpg" alt="Great-Barrier-Reef-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsWed, 22 Jun 2016 20:13:27 GMTThe world depends on coral reefs, but they’re disappearing – ravaged by climate change, coastal development, overfishing and pollution. With a quarter of Earth’s reefs already gone, scientists are racing to save them, and they’re getting a big boost from GPU-accelerated deep learning. There’s a lot at stake. Although reefs cover less than one percent […]

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Jamie Becketthttps://blogs.nvidia.com/blog/2016/06/22/deep-learning-save-coral-reefs/Wed, 22 Jun 2016 19:37:00 GMT
Let There Be Life: Bioengineering Comes Alive at Silicon Valley’s Tech Museumhttps://blogs.nvidia.com/blog/2016/06/22/let-there-be-life-bioengineering-comes-alive-at-silicon-valleys-tech-museum/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576a95272cfac21e75b02306_IMG_8962-crop-700x394/IMG_8962-crop-700x394_thmb.jpg" alt="IMG_8962-crop-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsWed, 22 Jun 2016 13:39:58 GMTLocated in the heart of Silicon Valley, San Jose’s Tech Museum welcomes tinkerers in all things electronic. Its latest exhibit takes this idea a step further, inviting visitors to play with the underpinnings of life itself. The first bio-tinkering space in a U.S. museum, its BioDesign Studio lets visitors of all ages explore the intersection […]

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Sandeep Guptehttps://blogs.nvidia.com/blog/2016/06/22/let-there-be-life-bioengineering-comes-alive-at-silicon-valleys-tech-museum/Wed, 22 Jun 2016 13:00:00 GMT
NVIDIA CAO David Shannon to Retire at Year's End http://nvidianews.nvidia.com/news/nvidia-cao-david-shannon-to-retire-at-year-s-endreleases<![CDATA[<p>NVIDIA announced today that David Shannon, who serves as executive vice president, chief administrative officer and secretary, has informed the company that he will retire at the end of the calendar year.</p> <p>Shannon, 60, joined NVIDIA 14 years ago as vice president and general counsel. He became senior vice president and company secretary in 2005, and executive vice president in 2009. He took on additional responsibility for HR in 2013 and was promoted the next year to CAO.</p> <p>&quot;David is an outstanding leader who has played a central role in NVIDIA&#39;s success,&quot; said Jen-Hsun Huang, co-founder and chief executive officer, NVIDIA. &quot;He has helped guide and execute our transformation from PC graphics into a GPU computer company focused on VR, AI and self-driving cars. We thank him for his many contributions to our company.&quot;</p> <p>Following Shannon&#39;s retirement, Brian Cabrera, who serves as senior vice president and general counsel, will lead the company&#39;s legal team. The company will work to recruit a leader for the HR function.</p> <p><strong>Keep Current on NVIDIA</strong><br /> Subscribe to the <a href="http://ctt.marketwire.com/?release=1265478&amp;id=8759365&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=1265478&amp;id=8759368&amp;type=1&amp;url=https%3a%2f%2fwww.facebook.com%2fNVIDIA" rel="nofollow">Facebook</a>, <a href="http://ctt.marketwire.com/?release=1265478&amp;id=8759371&amp;type=1&amp;url=https%3a%2f%2fplus.google.com%2f%2bNVIDIA" rel="nofollow">Google+</a>, <a href="http://ctt.marketwire.com/?release=1265478&amp;id=8759374&amp;type=1&amp;url=https%3a%2f%2ftwitter.com%2fnvidia" rel="nofollow">Twitter</a>, <a href="http://ctt.marketwire.com/?release=1265478&amp;id=8759377&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=1265478&amp;id=8759380&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=1265478&amp;id=8759383&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=1265478&amp;id=8759386&amp;type=1&amp;url=https%3a%2f%2fwww.flickr.com%2fphotos%2fnvidia" rel="nofollow">Flickr</a>.</p> ]]>Press ReleasesCorporateTue, 21 Jun 2016 23:10:03 GMTNVIDIA announced today that David Shannon, who serves as executive vice president, chief administrative officer and secretary, has informed the company that he will retire at the end of the calendar year.

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http://nvidianews.nvidia.com/news/nvidia-cao-david-shannon-to-retire-at-year-s-endTue, 21 Jun 2016 20:20:00 GMT
NVIDIA Deep Learning Software Platform Gets Trio of Big Updateshttps://blogs.nvidia.com/blog/2016/06/19/deep-learning-sdk/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/5767ca992cfac26f9e698461_19-Deep-Learning_sdk-web-700x394/19-Deep-Learning_sdk-web-700x394_thmb.jpg" alt="19-Deep-Learning_sdk-web-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsMon, 20 Jun 2016 10:51:22 GMTGreat hardware needs great software. To help data scientists and developers make the most of the vast opportunities in deep learning, we’re announcing today at the International Supercomputing show,  ISC16, a trio of new capabilities for our deep learning software platform. The three — NVIDIA DIGITS 4, CUDA Deep Neural Network Library (cuDNN) 5.1 and […]

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Greg Esteshttps://blogs.nvidia.com/blog/2016/06/19/deep-learning-sdk/Mon, 20 Jun 2016 06:02:00 GMT
Unwinding A Twister: How Researchers Can Visualize Large Datasets with NVIDIA IndeX on ParaViewhttps://blogs.nvidia.com/blog/2016/06/19/unwinding-twister-researchers-can-visualize-large-datasets-nvidia-index-paraview/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/5767cacd2cfac26f9c697906_19-Tornado-visualization-700x394/19-Tornado-visualization-700x394_thmb.jpg" alt="19-Tornado-visualization-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsMon, 20 Jun 2016 10:52:03 GMTThe only thing as daunting as the computational problem of simulating a tornado may be standing in the path of an actual one. Leigh Orf is one of the leading computational scientists studying tornadoes. Based at the Cooperative Institute for Meteorological Satellite Systems, at the University of Wisconsin, Madison, he researches the conditions that trigger […]

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Peter Messmerhttps://blogs.nvidia.com/blog/2016/06/19/unwinding-twister-researchers-can-visualize-large-datasets-nvidia-index-paraview/Mon, 20 Jun 2016 06:01:00 GMT
NVIDIA Tesla P100 Supercharges HPC Applications by More Than 30X http://nvidianews.nvidia.com/news/nvidia-tesla-p100-supercharges-hpc-applications-by-more-than-30xreleases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/5767cb5d2cfac26f9e698465_97392_tesla1/97392_tesla1_thmb.jpg" alt="NVIDIA Tesla P100 GPU accelerator for PCIe servers" align="left" hspace="15" vspace="5" />Powered by Pascal Architecture, Tesla P100 Delivers Massive Leap in Data Center Throughput<![CDATA[<p><strong>ISC16 -</strong> To meet the unprecedented computational demands placed on modern data centers, NVIDIA today introduced the <a href="http://www.nvidia.com/object/tesla-p100.html" target="" title="">NVIDIA&reg; Tesla&reg; P100 GPU accelerator</a> for PCIe servers, which delivers massive leaps in performance and value compared with CPU-based systems.</p> <p>Demand for supercomputing cycles is higher than ever. The majority of scientists are unable to secure adequate time on supercomputing systems to conduct their research, based on National Science Foundation data.<sup>1</sup> In addition, <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722711&amp;type=1&amp;url=http%3a%2f%2fwww.nvidia.com%2fobject%2ftesla-supercomputing-solutions.html%23source%3dpr" rel="nofollow">high performance computing (HPC) technologies</a> are increasingly required to power computationally intensive <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722714&amp;type=1&amp;url=http%3a%2f%2fwww.nvidia.com%2fobject%2fdeep-learning.html" rel="nofollow">deep learning applications</a>, while researchers are applying AI techniques to drive advances in traditional scientific fields.</p> <p>The Tesla P100 GPU accelerator for PCIe meets these computational demands through the unmatched performance and efficiency of the <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722717&amp;type=1&amp;url=http%3a%2f%2fwww.nvidia.com%2fobject%2fgpu-architecture.html%23source%3dpr" rel="nofollow">NVIDIA Pascal&trade; GPU architecture</a>. It enables the creation of &quot;super nodes&quot; that provide the throughput of more than 32 commodity CPU-based nodes and deliver up to 70 percent lower capital and operational costs.<sup>2</sup></p> <p>&quot;Accelerated computing is the only path forward to keep up with researchers&#39; insatiable demand for HPC and AI supercomputing,&quot; said Ian Buck, vice president of accelerated computing at NVIDIA. &quot;Deploying CPU-only systems to meet this demand would require large numbers of commodity compute nodes, leading to substantially increased costs without proportional performance gains. Dramatically scaling performance with fewer, more powerful Tesla P100-powered nodes puts more dollars into computing instead of vast infrastructure overhead.&quot;</p> <p>The Tesla P100 for PCIe is available in a standard PCIe form factor and is compatible with today&#39;s GPU-accelerated servers. It is optimized to power the most computationally intensive AI and HPC data center applications. A single Tesla P100-powered server delivers higher performance than 50 CPU-only server nodes when running the AMBER molecular dynamics code,<sup>3</sup> and is faster than 32 CPU-only nodes when running the VASP material science application.<sup>4</sup></p> <p>Later this year, Tesla P100 accelerators for PCIe will power an upgraded version of Europe&#39;s fastest supercomputer, the <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722720&amp;type=1&amp;url=http%3a%2f%2fnvidianews.nvidia.com%2fnews%2fnvidia-pascal-gpus-to-double-speed-of-europe-s-fastest-supercomputer%23source%3dpr" rel="nofollow">Piz Daint system</a> at the Swiss National Supercomputing Center in Lugano, Switzerland.</p> <p>&quot;Tesla P100 accelerators deliver new levels of performance and efficiency to address some of the most important computational challenges of our time,&quot; said Thomas Schulthess, professor of computational physics at ETH Zurich and director of the Swiss National Supercomputing Center. &quot;The upgrade of 4,500 GPU-accelerated nodes on Piz Daint to Tesla P100 GPUs will more than double the system&#39;s performance, enabling researchers to achieve breakthroughs in a range of fields, including cosmology, materials science, seismology and climatology.&quot;</p> <p>The Tesla P100 for PCIe is the latest addition to the <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722723&amp;type=1&amp;url=http%3a%2f%2fwww.nvidia.com%2fobject%2ftesla-supercomputing-solutions.html%23source%3dpr" rel="nofollow">NVIDIA Tesla Accelerated Computing Platform</a>. Key features include:</p> <ul style="list-style-type: disc"> <li><strong>Unmatched application performance for mixed-HPC workloads</strong> -- Delivering 4.7 teraflops and 9.3 teraflops of double-precision and single-precision peak performance, respectively, a single Pascal-based Tesla P100 node provides the equivalent performance of more than 32 commodity CPU-only servers.</li> <li><strong>CoWoS with HBM2 for unprecedented efficiency </strong>-- The Tesla P100 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 <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722726&amp;type=1&amp;url=https%3a%2f%2fdeveloper.nvidia.com%2fmaxwell-compute-architecture%23source%3dpr" rel="nofollow">NVIDIA Maxwell&trade; architecture</a>.</li> <li><strong>Page</strong><strong>Migration Engine for simplified parallel programming</strong> -- Frees developers to focus on tuning for higher performance and less on managing data movement, and allows applications to scale beyond the GPU physical memory size with support for virtual memory paging. Unified memory technology dramatically improves productivity by enabling developers to see a single memory space for the entire node.</li> <li><strong>Unmatched application support</strong> -- With 410 GPU-accelerated applications, including nine of the top 10 HPC applications, the Tesla platform is the world&#39;s leading HPC computing platform.</li> </ul> <p><strong>Tesla P100 for PCIe Specifications</strong></p> <ul style="list-style-type: disc"> <li>4.7 teraflops double-precision performance, 9.3 teraflops single-precision performance and 18.7 teraflops half-precision performance with NVIDIA GPU BOOST&trade; technology</li> <li>Support for PCIe Gen 3 interconnect (32GB/sec bi-directional bandwidth)</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> <li>Available in two configurations: <ul style="list-style-type: circle"> <li>16GB of CoWoS HBM2 stacked memory, delivering 720GB/sec of memory bandwidth</li> <li>12GB of CoWoS HBM2 stacked memory, delivering 540GB/sec of memory bandwidth</li> </ul> </li> </ul> <ul style="list-style-type: circle"> <li>16GB of CoWoS HBM2 stacked memory, delivering 720GB/sec of memory bandwidth</li> <li>12GB of CoWoS HBM2 stacked memory, delivering 540GB/sec of memory bandwidth</li> </ul> <p><strong>Availability</strong><br /> NVIDIA Tesla P100 GPU accelerator for PCIe-based systems is expected to be available beginning in Q4 2016 from NVIDIA reseller partners and server manufacturers, including Cray, Dell, Hewlett Packard Enterprise, IBM, Lenovo and SGI.</p> <p><strong>Additional Resources</strong><br /> <a href="https://youtu.be/Mce_Dlmqppg" target="_blank" title="">Boost throughput for HPC</a> (video)</p> <p><a href="https://devblogs.nvidia.com/parallelforall/inside-pascal/" target="" title="">Pascal deep dive</a> (blog)</p> <p><strong>Keep Current on NVIDIA</strong><br /> Subscribe to the <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722729&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=1265047&amp;id=8722732&amp;type=1&amp;url=https%3a%2f%2fwww.facebook.com%2fNVIDIA" rel="nofollow">Facebook</a>, <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722735&amp;type=1&amp;url=https%3a%2f%2fplus.google.com%2f%2bNVIDIA" rel="nofollow">Google+</a>, <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722738&amp;type=1&amp;url=https%3a%2f%2ftwitter.com%2fnvidia" rel="nofollow">Twitter</a>, <a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722741&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=1265047&amp;id=8722744&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=1265047&amp;id=8722747&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=1265047&amp;id=8722750&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=1265047&amp;id=8722753&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 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=1265047&amp;id=8722756&amp;type=1&amp;url=http%3a%2f%2fnvidianews.nvidia.com%2f" rel="nofollow">http://nvidianews.nvidia.com/</a>.&nbsp;</p> <p><span>1</span>&nbsp;Source:&nbsp;<a href="http://ctt.marketwire.com/?release=1265047&amp;id=8722759&amp;type=1&amp;url=https%3a%2f%2fportal.xsede.org%2f%23%2fgallery" rel="nofollow">https://portal.xsede.org/#/gallery</a>&nbsp;<br /> <span>2</span>&nbsp;CPU server: Dual socket Intel E5-2680v3 12 cores, 128GB DDR4 per node, FDR IB / GPU server: 8x Tesla P100 for PCIe with dual-socket Intel E5-2680v3&nbsp;<br /> <span>3</span>&nbsp;Simulations on SDSU Comet supercomputer.&nbsp;<br /> <span>4</span>&nbsp;VASP 5.4.1_05Feb16, Si-Huge Dataset. Sixteen, 32 nodes are estimated based on same scaling from four to eight nodes.</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 accelerator; high performance computing technologies being increasingly required, and the role of accelerated computing for HPC and AI supercomputing 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-Q for the fiscal period ended May 1, 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, and NVIDIA GPU BOOST 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 ReleasesEnterprise/HPCWed, 22 Jun 2016 16:51:24 GMThttp://nvidianews.nvidia.com/news/nvidia-tesla-p100-supercharges-hpc-applications-by-more-than-30xMon, 20 Jun 2016 06:01:00 GMTHigh Performance Computing Is Supercharging AIhttps://blogs.nvidia.com/blog/2016/06/17/baidu-high-performance-computing-ai/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576453f02cfac26f9e6978cf_17-Andrew-Ng-700x394/17-Andrew-Ng-700x394_thmb.jpg" alt="17-Andrew-Ng-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsFri, 17 Jun 2016 19:48:08 GMTArtificial intelligence powers many of Baidu’s most important products, from search to services. Speech recognition has expanded accessibility, natural language processing helps answer user questions, and image recognition offers more intuitive search results. It’s not surprising that AI is transforming internet companies. We believe the AI revolution will transform many other industries as well, from transportation to healthcare.

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Andrew Nghttps://blogs.nvidia.com/blog/2016/06/17/baidu-high-performance-computing-ai/Fri, 17 Jun 2016 18:57:00 GMT
Autonomous Robotic Surgery Moving to Reality, With Help of GPUshttps://blogs.nvidia.com/blog/2016/06/17/autonomous-robotic-surgery/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/5764132a2cfac26f9d6977ad_19-robot-surgery-700x394/19-robot-surgery-700x394_thmb.jpg" alt="19-robot-surgery-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsFri, 17 Jun 2016 15:11:52 GMTWhen you’re headed into surgery, you want a doc with unmatched skill, proven experience and steady hands. Or maybe just a really good robot. Researchers at the Children’s National Medical Center, in Washington, D.C., are advancing this pursuit by having robot surgeons perform soft-tissue operations autonomously. A Guiding “Hand” Robot-assisted surgery can be traced back […]

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Tony Kontzerhttps://blogs.nvidia.com/blog/2016/06/17/autonomous-robotic-surgery/Fri, 17 Jun 2016 15:00:00 GMT
Learn How Supercomputing and AI Are Fueling Innovation at ISC 2016https://blogs.nvidia.com/blog/2016/06/16/isc-2016-supercomputing/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576325bd2cfac20b6305e11a_NV_TESLA_KEPLER_KV_PR_LR-700x394/NV_TESLA_KEPLER_KV_PR_LR-700x394_thmb.jpg" alt="NV_TESLA_KEPLER_KV_PR_LR-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsThu, 16 Jun 2016 22:18:47 GMTSimulating the airflow through jet engines. Visualizing how tornadoes form. Modeling weather conditions for climate prediction. Researchers are tackling some of the world’s toughest challenges using a combination of supercomputers, artificial intelligence and big data. GPUs are at the center of this work. Find out how at NVIDIA’s booth 730 at the International Supercomputing Conference, […]

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Jens Neuschäferhttps://blogs.nvidia.com/blog/2016/06/16/isc-2016-supercomputing/Thu, 16 Jun 2016 20:00:00 GMT
Building A Sustainable Future: NVIDIA Releases Seventh Annual Corporate Sustainability Reporthttps://blogs.nvidia.com/blog/2016/06/15/nvidia-corporate-sustainability-report/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/5761a62a2cfac20b6506c476_15-Sustainability2016-700x394/15-Sustainability2016-700x394_thmb.jpg" alt="15-Sustainability2016-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsWed, 15 Jun 2016 19:02:13 GMTWe’re in the midst of a technological revolution. Deep learning is transforming countless industries — from robots that assist the disabled and drones that navigate their way to emergencies, to supercomputers that diagnose disease and deepen our understanding of climate change. Self-driving cars are redefining how we think about transportation, shuttling people safely and  potentially […]

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Tonie Hansenhttps://blogs.nvidia.com/blog/2016/06/15/nvidia-corporate-sustainability-report/Wed, 15 Jun 2016 18:32:00 GMT
Hitting Pay Dirt: Brazilian Oil and Gas Exploration with NVIDIA GRIDhttps://blogs.nvidia.com/blog/2016/06/15/hitting-pay-dirt-brazilian-oil-and-gas-exploration-with-nvidia-grid/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576155962cfac20b6506bc8f_image-1200x611/image-1200x611_thmb.jpg" alt="image-1200x611" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsEnterprise/HPCWed, 15 Jun 2016 13:18:32 GMTModern oil and gas exploration is a complex process that requires collaboration among geologists, geophysicists, cartographers and engineers in multiple locations. The latest developments in virtualization are enabling companies to go further and explore farther than ever before. that’s especially true for Brazil’s Ouro Preto Óleo e Gás. The six-year-old integrated energy company s using […]

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John Fanellihttps://blogs.nvidia.com/blog/2016/06/15/hitting-pay-dirt-brazilian-oil-and-gas-exploration-with-nvidia-grid/Wed, 15 Jun 2016 13:00:00 GMT
Visit to E3 Takes You from the Federation’s Starship to Everest’s Hillary Stepshttps://blogs.nvidia.com/blog/2016/06/14/e3-2016-virtual-reality/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/576090522cfac20b64075e94_14-USS_Aegis-700x394/14-USS_Aegis-700x394_thmb.jpg" alt="14-USS_Aegis-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsTue, 14 Jun 2016 23:16:41 GMTFrom the bridge of Star Trek’s Aegis starship to the wind-blown peaks of Mt. Everest, VR will transport people far beyond the walls of the E3 2016 tradeshow in Los Angeles this week. There’s no better place to take it all in than the NVIDIA E3 suite. It’s one of the only places attendees can […]

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Brian Burkehttps://blogs.nvidia.com/blog/2016/06/14/e3-2016-virtual-reality/Tue, 14 Jun 2016 23:00:00 GMT
Fantastical Universe: How Quadro M6000 Powers ‘True & the Rainbow Kingdom’s’ Animation Workflowhttps://blogs.nvidia.com/blog/2016/06/14/true-and-rainbow-kingdom/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/57600a4f2cfac20b64073b8f_XXTrueRainbowKingdom-700x394/XXTrueRainbowKingdom-700x394_thmb.jpg" alt="XXTrueRainbowKingdom-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsTue, 14 Jun 2016 13:44:58 GMTMessages of discovery, ingenuity and compassion may have fueled Netflix’s latest original series, True & the Rainbow Kingdom. But behind the scenes, NVIDIA Quadro GPUs will power every pixel audiences of the animated children’s series will see on their screens. When Netflix wanted to commission an innovative comedy adventure series for preschoolers, they looked to […]

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Gail Lagunahttps://blogs.nvidia.com/blog/2016/06/14/true-and-rainbow-kingdom/Tue, 14 Jun 2016 13:00:00 GMT
Jungle (Note)book: How a VR-Ready Laptop Can Take You to the Lost City of El Miradorhttps://blogs.nvidia.com/blog/2016/06/13/vr-ready-laptop-el-mirador/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/575eb2752cfac20b6305bb64_13El-Mirador-700x394/13El-Mirador-700x394_thmb.jpg" alt="13El-Mirador-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsMon, 13 Jun 2016 13:17:50 GMTNo roads lead there. Reaching it requires an arduous, two-day trek through dense Guatemalan jungle, or flying over the treetops in a helicopter that’s been stripped down to have the range for the long round trip. Yet the more than 2,000-year-old city of El Mirador is central to our understanding of Mayan culture. The trip […]

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David Weinsteinhttps://blogs.nvidia.com/blog/2016/06/13/vr-ready-laptop-el-mirador/Mon, 13 Jun 2016 13:00:00 GMT
DGX-1 Webinar Series: Learn How to Supercharge Your Deep Learning Applicationshttps://blogs.nvidia.com/blog/2016/06/10/dgx-1-webinar-deep-learning/releases<img src="https://s3.amazonaws.com/cms.ipressroom.com/219/files/20165/575b2c772cfac20b640711e8_042716-DGX_1-700x394/042716-DGX_1-700x394_thmb.jpg" alt="042716-DGX_1-700x394" align="left" hspace="15" vspace="5" /><![CDATA[]]>BlogsFri, 10 Jun 2016 21:09:22 GMTThe AI revolution is on. GPU-accelerated deep learning breakthroughs are fueling the development of advanced AI applications and technologies with superhuman capabilities. Self-driving cars. Personalized drug treatment recommendations. Computers that can identify cancer cells from radiology images. And that’s just the start. Organizations around the world – from major web services companies and dynamic startups […]

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George Millingtonhttps://blogs.nvidia.com/blog/2016/06/10/dgx-1-webinar-deep-learning/Fri, 10 Jun 2016 20:19:00 GMT