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Primeur weekly 2017-05-15

Special

NVIDIA ushers in new era of robotics, with breakthroughs making It easier to build and train intelligent machines ...

NVIDIA and Toyota collaborate to accelerate market introduction of autonomous cars ...

NVIDIA launches GPU Cloud platform to simplify AI development ...

NVIDIA advances AI computing revolution with new Volta-based DGX systems ...

NVIDIA launches revolutionary Volta GPU platform, fueling next era of AI and high performance computing ...

NVIDIA to train 100,000 developers on deep learning in 2017 ...

NVIDIA paves path to AI cities with Metropolis Edge-to-Cloud platform for video analytics ...

NVIDIA Tesla accelerators on IBM Cloud demonstrate advanced performance for training deep learning models ...

BSC and NVIDIA a step forward to the interactive simulation of humans ...

Quantum computing

Refrigerator for quantum computers discovered ...

Focus on Europe

EoCoE service page open for PRACE user community ...

Spring 2017 edition of the e-IRG newsletter available ...

PRACE to issue Annual Report 2016 ...

Middleware

Bright Computing announces 8.0 release - Setting new standard for automation and ease-of-use for Linux-based clusters and public, private and hybrid Clouds ...

CETIAT France chooses Bright Cluster Manager for aerodynamics and fluid mechanics HPC environment ...

2016 National Research Infrastructure Roadmap for Australia is now available ...

Hardware

Cray delivers production-ready AI with new Cray CS-Storm accelerated cluster supercomputers ...

Inspur to unveil 2U 8-GPU AI supercomputer at GTC 2017 ...

Inspur unveiled AIStation, AI deep learning training cluster management software at GTC 2017 ...

Supermicro systems deliver 170 Tflop/s FP16 of peak performance for artificial intelligence, and deep learning at GTC 2017 ...

NCSA's Blue Waters project provides $1.08 billion direct return to Illinois' economy ...

Applications

SDSC's Comet helps replicate brain circuitry to direct a realistic prosthetic arm ...

University of Wyoming graduate student one of 36 selected for CyberGIS Summer School ...

Supercomputing mimics berkelium experiments to validate new find ...

'Inverse designing' spontaneously self-assembling materials ...

Story of silver birch from genomic Big Data ...

Targeted, high-energy cancer treatments get a supercomputing boost ...

Computer accurately identifies and delineates breast cancers on digital tissue slides ...

Sound over silicon: Computing's wave of the future ...

USC Viterbi School of Engineering faculty awarded multiple MURI grants ...

New funding announced for Digital Earth Australia ...

NCSA releases annual report highlighting scientific exploration and breakthroughs enabled by the Blue Waters Project ...

Supercomputer can disprove the theory of sunspot formation ...

The Cloud

Inspur to release InCloud OS 5.0 "F.A.S.T" at the 2017 OpenStack Summit ...

IBM extends data science collaborative workspace to the private Cloud ...

Pointwise and Envenio Join Forces on Demand ...

NVIDIA to train 100,000 developers on deep learning in 2017

9 May 2017 San Jose - To meet surging demand for expertise in the field of AI, NVIDIA plans to train 100,000 developers this year - a tenfold increase over 2016 - through the NVIDIA Deep Learning Institute.

Analyst firm IDC estimates that 80 percent of all applications will have an AI component by 2020. The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology.

The institute has trained developers around the world at sold-out public events and onsite training at companies such as Adobe, Alibaba and SAP; at government research institutions like the U.S. National Institutes of Health, National Institute of Science and Technology, and the Barcelona Supercomputing Center; and at institutes of higher learning such as Temasek Polytechnic Singapore and India Institute of Technology, Bombay.

In addition to instructor-led workshops, developers have on-demand access to training on the latest deep learning technology, using NVIDIA software and high-performance Amazon Web Services (AWS) EC2 P2 GPU instances in the Cloud. More than 10,000 developers have already been trained by NVIDIA using AWS on the applied use of deep learning.

"AI is the defining technology of our generation", stated Greg Estes, vice president of Developer Programmes at NVIDIA. "To meet overwhelming demand from enterprises, government agencies and universities, we are dramatically expanding the breadth and depth of our offerings, so developers worldwide can learn how to leverage this transformative technology."

NVIDIA is broadening the Deep Learning Institute's curriculum to include the applied use of deep learning for self-driving cars, health care, web services, robotics, video analytics and financial services. Coursework is being delivered online using NVIDIA GPUs in the Cloud through Amazon Web Services and Google's Qwiklabs, as well as through instructor-led seminars, workshops and classes to reach developers across Asia, Europe and the Americas. NVIDIA currently partners with Udacity to offer Deep Learning Institute content for developing self-driving cars.

"There is a real demand for developers who not only understand artificial intelligence, but know how to apply it in commercial applications", stated Christian Plagemann, vice president of Content at Udacity. "NVIDIA is a leader in the application of deep learning technologies and we're excited to work closely with their experts to train the next generation of artificial intelligence practitioners."

Deep Learning Institute hands-on labs are taught by certified expert instructors from NVIDIA, partner companies and universities. Each lab covers a fundamental tenet of deep learning, such as using AI for object detection or image classification; applying AI to determine the best approach to cancer treatment; or, in the most advanced courses, using technologies such as NVIDIA DRIVE PX 2 and DriveWorks to develop autonomous vehicles.

To meet its 2017 goal, NVIDIA is expanding the Deep Learning Institute through:

  • New Deep Learning Training Labs: NVIDIA is working with Amazon Web Services, Facebook, Google, the Mayo Clinic, Stanford University, as well as the communities supporting major deep learning frameworks to co-develop training labs using Caffe2, MXNet and TensorFlow.
  • New Courseware for Educators: NVIDIA has partnered with Yann LeCun, director of AI research at Facebook and computer science professor at New York University, to develop the DLI Teaching Kit, which covers the academic theory and application of deep learning on GPUs using the PyTorch framework. Hundreds of educators are already using the DLI Teaching Kit, including the University of Oxford and the University of California, Berkeley.
  • New DLI Certified Training Partners: NVIDIA is expanding the Deep Learning Institute ecosystem by providing materials and certifying instructors from Hewlett Packard Enterprise, IBM and Microsoft.

NVIDIA is also working with Microsoft Azure, IBM Power and IBM Cloud teams to port lab content to their Cloud solutions.

At the GPU Technology Conference, in Silicon Valley, the Deep Learning Institute offered 14 different labs and trained more than 2,000 developers on the applied use of AI.

Instructors can access the DLI Teaching Kits, which also cover accelerated computing and robotics, online .

Source: NVIDIA

Back to Table of contents

Primeur weekly 2017-05-15

Special

NVIDIA ushers in new era of robotics, with breakthroughs making It easier to build and train intelligent machines ...

NVIDIA and Toyota collaborate to accelerate market introduction of autonomous cars ...

NVIDIA launches GPU Cloud platform to simplify AI development ...

NVIDIA advances AI computing revolution with new Volta-based DGX systems ...

NVIDIA launches revolutionary Volta GPU platform, fueling next era of AI and high performance computing ...

NVIDIA to train 100,000 developers on deep learning in 2017 ...

NVIDIA paves path to AI cities with Metropolis Edge-to-Cloud platform for video analytics ...

NVIDIA Tesla accelerators on IBM Cloud demonstrate advanced performance for training deep learning models ...

BSC and NVIDIA a step forward to the interactive simulation of humans ...

Quantum computing

Refrigerator for quantum computers discovered ...

Focus on Europe

EoCoE service page open for PRACE user community ...

Spring 2017 edition of the e-IRG newsletter available ...

PRACE to issue Annual Report 2016 ...

Middleware

Bright Computing announces 8.0 release - Setting new standard for automation and ease-of-use for Linux-based clusters and public, private and hybrid Clouds ...

CETIAT France chooses Bright Cluster Manager for aerodynamics and fluid mechanics HPC environment ...

2016 National Research Infrastructure Roadmap for Australia is now available ...

Hardware

Cray delivers production-ready AI with new Cray CS-Storm accelerated cluster supercomputers ...

Inspur to unveil 2U 8-GPU AI supercomputer at GTC 2017 ...

Inspur unveiled AIStation, AI deep learning training cluster management software at GTC 2017 ...

Supermicro systems deliver 170 Tflop/s FP16 of peak performance for artificial intelligence, and deep learning at GTC 2017 ...

NCSA's Blue Waters project provides $1.08 billion direct return to Illinois' economy ...

Applications

SDSC's Comet helps replicate brain circuitry to direct a realistic prosthetic arm ...

University of Wyoming graduate student one of 36 selected for CyberGIS Summer School ...

Supercomputing mimics berkelium experiments to validate new find ...

'Inverse designing' spontaneously self-assembling materials ...

Story of silver birch from genomic Big Data ...

Targeted, high-energy cancer treatments get a supercomputing boost ...

Computer accurately identifies and delineates breast cancers on digital tissue slides ...

Sound over silicon: Computing's wave of the future ...

USC Viterbi School of Engineering faculty awarded multiple MURI grants ...

New funding announced for Digital Earth Australia ...

NCSA releases annual report highlighting scientific exploration and breakthroughs enabled by the Blue Waters Project ...

Supercomputer can disprove the theory of sunspot formation ...

The Cloud

Inspur to release InCloud OS 5.0 "F.A.S.T" at the 2017 OpenStack Summit ...

IBM extends data science collaborative workspace to the private Cloud ...

Pointwise and Envenio Join Forces on Demand ...