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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 launches GPU Cloud platform to simplify AI development

10 May 2017 San Jose - NVIDIA has introduced the NVIDIA GPU Cloud (NGC), a Cloud-based platform that will give developers convenient access - via their PC, NVIDIA DGX system or the Cloud - to a comprehensive software suite for harnessing the transformative powers of AI.

Speaking at the eighth annual GPU Technology Conference, NVIDIA CEO and founder Jensen Huang said that NGC will make it easier for developers to access the latest, optimized deep learning frameworks and the newest GPU computing resources.

"We're designing a cloud platform that will unleash AI developers, so they can build a smarter world", stated Jim McHugh, vice president and general manager at NVIDIA. "You can do your best work no matter where you are, using our latest technology in the Cloud. It's accelerated computing when and where you need it."

Harnessing deep learning presents two challenges for developers and data scientists. One is the need to gather into a single stack the requisite software components - including deep learning frameworks, libraries, operating system and drivers. Another is getting access to the latest GPU computing resources to train a neural network.

NVIDIA solved the first challenge earlier this year by combining the key software elements within the NVIDIA DGX-1 AI supercomputer into a containerized package. As part of the NGC, this package, called the NGC Software Stack, will be more widely available and kept updated and optimized for maximum performance.

To address the hardware challenge, NGC will give developers the flexibility to run the NGC Software Stack on a PC - equipped with a TITAN X or GeForce GTX 1080 Ti, on a DGX system or from the Cloud.

NGC will accelerate and simplify deep learning development by making it easier for developers to conduct deep learning training, experimentation and deployment. Developers will be able to easily design more sophisticated neural networks, process more data, iterate quickly and get to market faster.

NGC will offer the following benefits:

  • Purpose Built: Designed for deep learning on the world's fastest GPUs.
  • Optimized and Integrated: The NGC Software Stack will provide a wide range of software, including: Caffe, Caffe2, CNTK, MXNet, TensorFlow, Theano and Torch frameworks, as well as the NVIDIA DIGITS GPU training system, the NVIDIA Deep Learning SDK, for example, cuDNN and NCCL, nvidia-docker, GPU drivers and NVIDIA CUDA for rapidly designing deep neural networks.
  • Convenient: With just one NVIDIA account, NGC users will have a simple application that guides people through deep learning workflow projects across all system types whether PC, DGX system or NGC.
  • Versatile: It's built to run anywhere. Users can start with a single GPU on a PC and add more compute resources on demand with a DGX system or through the Cloud. They can import data, set up the job configuration, select a framework and hit run. The output could then be loaded into TensorRT for inferencing.

With NGC, developers can build models of any size or type, using a versatile platform that makes it easier to move models from prototyping to deployment. They can increase or decrease computing resources, and only pay for what they need.

NGC is expected to enter public beta by the third quarter. Pricing will be announced at a later date.

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 ...