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A Year of Innovation Using the DGX-1 AI Supercomputer

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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

  1. 1. 1 A YEAR OF INNOVATION USING DGX-1
  2. 2. 2 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. May 2015 September 2015 November 2015 December 2015 January 2016 March 2016 Inception of DGX-1 Building system software stack Integration of Pascal Connection of multiple GPUs Building model of aluminum enclosure Production of final server prototype FUEL FOR THE AI BOOM NVIDIA
  3. 3. 3 “ Meet DGX-1: NVIDIA’s stupidly powerful supercomputer for Deep Learning.” March 29, 2016 April 03, 2016 April 05, 2016 April 06, 2016 Sep 09, 2016January 2016 April 08, 2016 GIZMODO AUSTRALIA | GTC 2016
  4. 4. 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 GIZMODO AUSTRALIA | GTC 2016
  5. 5. 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
  6. 6. 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.” Nithya Palaniyappan READ MORE
  7. 7. 7 THE WORLD’S LEADING RESEARCHERS WERE GIVEN THE FIRST DGX-1S TO ADVANCE AI AND DEEP LEARNING.
  8. 8. 8 7 August 15, 2016 September 1, 2016 September 7, 2016 August 20, 2016 September 7, 2016 October 3, 2016 OpenAI Using Reddit to Teach AI How to Speak NYU Advancing Robotics, Physics, and Medicine Building Smarter Everyday Robots with Deep Learning Testing an Automated Bone-Age Analyzer to Speed Diagnosis of Children’s Growth Problems August 26, 2016
  9. 9. 9 “ 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.” OPENAI USING REDDIT TO TEACH AI HOW TO SPEAK READ MORE MIT TECH REVIEW
  10. 10. 10 “ 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.” NVIDIA DELIVERS AI SUPERCOMPUTER TO BERKELEY 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 HPC WIRE
  11. 11. 11 “ 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.” NYU USING NVIDIA DGX-1 SUPERCOMPUTER TO PUSH BOUNDARIES OF AI Yann LeCunn Director of AI Research, Facebook Founding Director, NYU Center for Data Science HPC WIRE READ MORE
  12. 12. 12 “ 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.” MASS GENERAL RESEARCHERS USING AI Keith J. Dreyer Vice Chairman of Radiology Executive Director of MGH Clinical Data Center READ MORE VENTUREBEAT
  13. 13. 13 RESULTING IN THE DGX-1 BEING A CATALYST FOR NEW AI DEEP LEARNING CAPABILITIES IN LEADING ENTERPRISES AROUND THE WORLD.
  14. 14. 14 7 September 28, 2016 November 15, 2016 December 20, 2016 October 5, 2016 November 2016 January 2017 Building computer systems modeled on the human brain Bringing the Deep Learning Revolution to Businesses October 6, 2016 SAP teams with NVIDIA to bring AI capabilities to its customers Igniting scientific discoveries with big data using DGX-1 NVIDIA and Microsoft Combine DGX-1 Supercomputer with Azure Cloud to Accelerate AI
  15. 15. 15 “ 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.” SAP AND NVIDIA TO BRING AI CAPABILITIES TO CUSTOMERS READ MORE IT PRO
  16. 16. 16 “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.” SKYMIND AND NVIDIA BRINGING THE DEEP LEARNING REVOLUTION TO BUSINESSES READ MORE NVIDIA
  17. 17. 17 “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.” CSIRO FIRST IN ASIA-PACIFIC WITH DGX-1 SUPERCOMPUTER READ MORE ITWIRE
  18. 18. 18 “ 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.” NVIDIA AND MICROSOFT COMBINE DGX-1 SUPERCOMPUTER WITH AZURE CLOUD TO ACCELERATE AI READ MORE Harry Shum Executive Vice President AI and Research Group, Microsoft HOTHARDWARE
  19. 19. 19 “ “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. .” New Fujitsu AI Supercomputer to Use 24 DGX-1s READ MORE Arimichi Kunisawa Head of Technical Computing Solution Unit Fujitsu Limited
  20. 20. 20 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. THE PINT-SIZED SUPERCOMPUTER THAT COMPANIES ARE SCRAMBLING TO GET MIT TECH REVIEW READ MORE
  21. 21. 21 Aug. 1, 2016 Jan. 5, 2017Dec. 14, 2016 Feb. 21, 2017Nov. 16, 2016Oct. 10, 2016 Dec. 20, 2016 “ DGX-1 signifies a paradigm shift in the world of high performance computing.” “ AI computing is the future of computing.” Jen-Hsun Huang, CEO at NVIDIA READ MORE
  22. 22. 22 January, 2016 April 08, 2016April 05, 2016 Sep. 09, 2016April 3, 2016March 29, 2016 April 06, 2016 “ Top Artificial Intelligence Stories of 2016.” “NVIDIA announces a supercomputer aimed at Deep Learning and AI.” READ MORE TECHCRUNCH
  23. 23. 23 UNCOVER THE ARCHITECTURE BEHIND THE DGX-1 DOWNLOAD WHITEPAPER

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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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