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A Year of Innovation Using the DGX-1 AI Supercomputer

As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.

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A Year of Innovation Using the DGX-1 AI Supercomputer

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  1. A YEAR OF INNOVATION USING DGX-1 1

  2. FUEL FOR THE AI BOOM September 2015 Building system software stack March 2016 Production of final server prototype May 2015 Inception of DGX-1 November 2015 Integration of Pascal January 2016 Building model of aluminum enclosure December 2015 Connection of multiple GPUs A team of engineers sketches out a radical new topology that will yoke together the eight GPUs inside DGX-1, each with 15 billion transistors. The solution: A Supercomputer equivalent to 250 servers in a box. The design will let users throw eight GPUs at deep learning tasks, or split the system into two separate subsystems to tackle more traditional high performance computing work. 2 NVIDIA

  3. Sep 09, 2016 January 2016 April 03, 2016 April 06, 2016 April 08, 2016 March 29, 2016 April 05, 2016 “ Meet DGX-1: NVIDIA’s stupidly powerful supercomputer for Deep Learning.” 3 GIZMODO AUSTRALIA | GTC 2016

  4. “ Packing in eight Tesla P100 GPUs that are capable of delivering up to 170 teraflops at peak performance, it is hands-down the most powerful system NVIDIA has ever brought to market.” READ MORE 4 GIZMODO AUSTRALIA | GTC 2016

  5. “ NVIDIA announced their own branded server, the DGX-1, to enable development of Deep Learning applications based on the new chip …We believe that the broad range of real world applications on display at this event [GTC 2016] could mean that AI, powered by new GPUs and Deep Learning algorithms, is finally about to cross the chasm to broad applicability, 50 years after it made its debut. Some things are worth the wait.” READ MORE Karl Freund Moor Insights & Strategy Analyst 5

  6. “ This machine [DGX-1] is ready to run with deep-learning software pre-installed and the firsts of these are shipping to AI researchers at MIT, Stanford and UC Berkeley … This can accomplish impressive machine-learning feats, for instance perfect image recognition in self-driving cars. Thus, researchers and data scientists need more powerful chips, which is what NVIDIA is planning to produce.” READ MORE Nithya Palaniyappan 6

  7. THE WORLD’S LEADING RESEARCHERS WERE GIVEN THE FIRST DGX-1S TO ADVANCE AI AND DEEP LEARNING. 7

  8. OpenAI Using Reddit to Teach AI How to Speak NYU Advancing Robotics, Physics, and Medicine August 26, 2016 September 7, 2016 August 15, 2016 September 1, 2016 September 7, 2016 October 3, 2016 August 20, 2016 Building Smarter Everyday Robots with Deep Learning Testing an Automated Bone-Age Analyzer to Speed Diagnosis of Children’s Growth Problems 8 7

  9. OPENAI USING REDDIT TO TEACH AI HOW TO SPEAK “ The supercomputer will tackle the most difficult challenges facing the artificial intelligence industry … by reading through Reddit forums. And apparently, Reddit’s size was not a hindrance. In fact, the site’s size is the main reason why the online community was specifically chosen as DGX-1’s training ground.” READ MORE 9 MIT TECH REVIEW

  10. NVIDIA DELIVERS AI SUPERCOMPUTER TO BERKELEY “ There’s somewhat of a linear connection between how much compute power one has and how many experiments one can run. And how many experiments one can run determines how much knowledge you can acquire or discover.” Trevor Darrell The speed of DGX-1’s GPUs and integrated software — and the connections between them — will help BAIR explore these new ideas faster than ever. READ MORE 10 HPC WIRE

  11. NYU USING NVIDIA DGX-1 SUPERCOMPUTER TO PUSH BOUNDARIES OF AI READ MORE “ The DGX-1 is going to be used in just about every research project we have here. Having a fast machine is really crucial to be able to succeed.” Yann LeCunn Director of AI Research, Facebook Founding Director, NYU Center for Data Science 11 HPC WIRE

  12. MASS GENERAL RESEARCHERS USING AI “ 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 cast patient populations. Without the processing capabilities of GPUs, this would not be possible.” READ MORE Keith J. Dreyer Vice Chairman of Radiology Executive Director of MGH Clinical Data Center 12 VENTUREBEAT

  13. RESULTING IN THE DGX-1 BEING A CATALYST FOR NEW AI DEEP LEARNING CAPABILITIES IN LEADING ENTERPRISES AROUND THE WORLD. 13

  14. Igniting scientific discoveries with big data using DGX-1 SAP teams with NVIDIA to bring AI capabilities to its customers Building computer systems modeled on the human brain October 5, 2016 November 15, 2016 September 28, 2016 November 2016 January 2017 December 20, 2016 October 6, 2016 Bringing the Deep Learning Revolution to Businesses NVIDIA and Microsoft Combine DGX-1 Supercomputer with Azure Cloud to Accelerate AI 14 7

  15. SAP AND NVIDIA TO BRING AI CAPABILITIES TO CUSTOMERS READ MORE “ SAP and ourselves are working together to make the world’s largest enterprise software companies and integrate it with NVIDIA to bring hundreds of customers of SAP the benefit of AI computing.” 15 IT PRO

  16. SKYMIND AND NVIDIA BRINGING THE DEEP LEARNING REVOLUTION TO BUSINESSES “With NVIDIA’s powerful DGX-1 AI supercomputer and Skymind’s open-source deep learning distribution, SKIL (Skymind Intelligence Layer), large organizations can leverage a single, unified platform that works natively with their existing software to build deep learning solutions.” READ MORE 16 NVIDIA

  17. CSIRO FIRST IN ASIA-PACIFIC WITH DGX-1 SUPERCOMPUTER “The DGX-1 is a ready-made platform for introducing groups to artificial intelligence and deep learning, and to ways the technologies can be applied in areas such as medical image analysis, nanomaterial modelling, genome analysis, and astronomy and space science.” READ MORE 17 ITWIRE

  18. NVIDIA AND MICROSOFT COMBINE DGX-1 SUPERCOMPUTER WITH AZURE CLOUD TO ACCELERATE AI READ MORE “ By working closely with NVIDIA and harnessing the power of GPU-accelerated systems, we’ve made Cognitive Toolkit and Microsoft Azure the fastest, most versatile AI platform. AI is now within reach of any business.” Harry Shum Executive Vice President AI and Research Group, Microsoft 18 HOTHARDWARE

  19. New Fujitsu AI Supercomputer to Use 24 DGX-1s READ MORE “ “We believe that the NVIDIA DGX-1-based system will accelerate real-world implementation of the latest AI technologies as well as research into next- generation AI algorithms,” said Arimichi Kunisawa, head of the Technical Computing Solution Unit at Fujitsu Limited. .” Arimichi Kunisawa Head of Technical Computing Solution Unit Fujitsu Limited 19

  20. THE PINT-SIZED SUPERCOMPUTER THAT COMPANIES ARE SCRAMBLING TO GET Dozens of organizations are shelling out $129,000 for a box that will help them train AI software. Faster computers such as the DGX-1 promise to make deep-learning algorithms more powerful and let data scientists run deep- learning models that previously weren’t possible. READ MORE 20 MIT TECH REVIEW

  21. “ DGX-1 signifies a paradigm shift in the world of high performance computing.” Aug. 1, 2016 Dec. 14, 2016 Dec. 20, 2016 Feb. 21, 2017 Jan. 5, 2017 Oct. 10, 2016 Nov. 16, 2016 “ AI computing is the future of computing.” Jen-Hsun Huang, CEO at NVIDIA READ MORE 21

  22. “ Top Artificial Intelligence Stories of 2016.” READ MORE January, 2016 April 05, 2016 April 06, 2016 Sep. 09, 2016 April 08, 2016 March 29, 2016 April 3, 2016 “NVIDIA announces a supercomputer aimed at Deep Learning and AI.” 22 TECHCRUNCH

  23. UNCOVER THE ARCHITECTURE BEHIND THE DGX-1 DOWNLOAD WHITEPAPER 23

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