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Primeur weekly 2016-08-22

Special

ExaCT team shows how Legion S3D code is a tribute to co-design on the way to exascale supercomputing ...

Focus

Sunway TaihuLight's strengths and weaknesses highlighted by Jack Dongarra ...

Exascale supercomputing

Big PanDA tackles Big Data for physics and other future extreme scale scientific applications ...

Computer programming made easier ...

Quantum computing

Cryptographers from the Netherlands win 2016 Internet Defense Prize ...

Focus on Europe

STFC Daresbury Laboratory to host 2016 Hands-on Tutorial on CFD using open-source software Code_Saturne ...

Middleware

Germany joins ELIXIR ...

Columbus Collaboratory announces CognizeR, an Open Source R extension that accelerates data scientists' access to IBM Watson ...

Cycle Computing optimizes NASA tree count and climate impact research ...

GPU-accelerated computing made better with NVIDIA DCGM and PBS Professional ...

Hardware

Mellanox demonstrates accelerated NVMe over Fabrics at Intel Developers Forum ...

Nor-Tech has developed the first affordable supercomputers designed to be used in an office, rather than a data centre ...

NVIDIA CEO delivers world's first AI supercomputer in a box to OpenAI ...

AMD demonstrates breakthrough performance of next-generation Zen processor core ...

CAST and PLDA Group demonstrate x86-compliant high compression ratio GZIP acceleration on FPGA, accessible to non-FPGA experts using the QuickPlay software defined FPGA development tool ...

IBM Research - Almaden celebrates 30 years of innovation in Silicon Valley ...

Wiring reconfiguration saves millions for Trinity supercomputer ...

Cavium completes acquisition of QLogic ...

Applications

Soybean science blooms with supercomputers ...

NOAA launches America's first national water forecast model ...

Computers trounce pathologists in predicting lung cancer type, severity, researchers find ...

Star and planetary scientists get millions of hours on EU supercomputers ...

Bill Gropp named acting director of NCSA ...

Latest NERSC/Intel/Cray dungeon session yields impressive code speed-ups ...

User-friendly language for programming efficient simulations ...

New book presents how deep learning neural networks are designed ...

Liquid light switch could enable more powerful electronics ...

Energy Department to invest $16 million in computer design of materials ...

Pitt engineers receive grant to develop fast computational modelling for 3D printing ...

Environmental datasets help researchers double the number of microbial phyla known to be infected by viruses ...

Teaching machines to direct traffic through deep reinforcement learning ...

Simulations by PPPL physicists suggest that magnetic fields can calm plasma instabilities ...

New material discovery allows study of elusive Weyl fermion ...

New maths to predict dangerous hospital epidemics ...

Kx financial analytics technology tackles Big Data crop research at biotech leader Earlham Institute ...

The Cloud

New hacking technique imperceptibly changes memory virtual servers ...

NVIDIA CEO delivers world's first AI supercomputer in a box to OpenAI


Signed, sealed, delivered: Jen-Hsun Huang and the team at OpenAI signed the first DGX-1 AI supercomputer in a box to be delivered.
15 Aug 2016 San Francisco - The world's leading non-profit artificial intelligence research team needs the world's fastest AI system. That's why NVIDIA CEO Jen-Hsun Huang has hand-delivered the world's first AI supercomputer in a box - the NVIDIA DGX-1 - to OpenAI in San Francisco.

"I thought it was incredibly appropriate that the world's first supercomputer dedicated to artificial intelligence would go to the laboratory that was dedicated to open artificial intelligence", Jen-Hsun Huang stated.

OpenAI's researchers will put the first production DGX-1 - packing 170 teraflops of computing power, equal to 250 conventional servers - to work on artificial intelligence's toughest problems.

OpenAI's team is working at the cutting-edge of a field that promises incredible advances. Imagine artificial personal assistants that can coordinate our digital lives and autonomous cars and robots that are accessible to everyone.

Doing that will take technology with the computing power to keep up with OpenAI's researchers. Building DGX-1 took 3,000 people working for three years, Jen-Hsun Huang explained. "So if this is the only one ever shipped, this project would cost $2 billion", he stated.

OpenAI's researchers are eager to put it to work.

"The DGX-1 is a huge advance", OpenAI Research Scientist Ilya Sutskever stated. "It will allow us to explore problems that were completely unexplored before, and it will allow us to achieve levels of performance that weren’t achievable."

OpenAI - already hailed by some as the "Xerox PARC of AI" - was founded last year to advance digital intelligence in ways that will benefit all humanity.

"Artificial intelligence has the potential to be the most positive technology that humans ever create", stated OpenAI Chief Technology Officer Greg Brockman. "It has the potential to unlock the solutions to problems that have really plagued us for a very long time."

One of the keys to tackling these challenges is what OpenAI's researchers call "generative modelling". If a machine is smart enough to not just recognize speech - but to use that data to generate appropriate responses on its own - then it will behave more intelligently.

"You can take a large amount of data that would help people talk to each other on the internet, and you can train, basically, a chatbot, but you can do it in a way that the computer learns how language works and how people interact", stated OpenAI Research Scientist Andrej Karpathy.

The key to all this: speed. Researchers today are limited by the computational power in their systems.

"Our advances depend on GPUs being fast. Speed of our computers is, in some sense, the lifeblood of deep learning", Ilya Sutskever stated.

"One very easy way of always getting our models to work better is to just scale the amount of compute", Andrej Karpathy stated. "So right now, if we're training on, say, a month of conversations on Reddit, we can, instead, train on entire years of conversations of people talking to each other on all of Reddit."

"And then we can get much more data in terms of how people interact with each other. And, eventually, we'll use that to talk to computers, just like we talk to each other."

Projects like these are the reason why NVIDIA built DGX-1, and why NVIDIA will be delivering DGX-1s to top AI research teams all over the world in the weeks ahead.
Source: NVIDIA

Back to Table of contents

Primeur weekly 2016-08-22

Special

ExaCT team shows how Legion S3D code is a tribute to co-design on the way to exascale supercomputing ...

Focus

Sunway TaihuLight's strengths and weaknesses highlighted by Jack Dongarra ...

Exascale supercomputing

Big PanDA tackles Big Data for physics and other future extreme scale scientific applications ...

Computer programming made easier ...

Quantum computing

Cryptographers from the Netherlands win 2016 Internet Defense Prize ...

Focus on Europe

STFC Daresbury Laboratory to host 2016 Hands-on Tutorial on CFD using open-source software Code_Saturne ...

Middleware

Germany joins ELIXIR ...

Columbus Collaboratory announces CognizeR, an Open Source R extension that accelerates data scientists' access to IBM Watson ...

Cycle Computing optimizes NASA tree count and climate impact research ...

GPU-accelerated computing made better with NVIDIA DCGM and PBS Professional ...

Hardware

Mellanox demonstrates accelerated NVMe over Fabrics at Intel Developers Forum ...

Nor-Tech has developed the first affordable supercomputers designed to be used in an office, rather than a data centre ...

NVIDIA CEO delivers world's first AI supercomputer in a box to OpenAI ...

AMD demonstrates breakthrough performance of next-generation Zen processor core ...

CAST and PLDA Group demonstrate x86-compliant high compression ratio GZIP acceleration on FPGA, accessible to non-FPGA experts using the QuickPlay software defined FPGA development tool ...

IBM Research - Almaden celebrates 30 years of innovation in Silicon Valley ...

Wiring reconfiguration saves millions for Trinity supercomputer ...

Cavium completes acquisition of QLogic ...

Applications

Soybean science blooms with supercomputers ...

NOAA launches America's first national water forecast model ...

Computers trounce pathologists in predicting lung cancer type, severity, researchers find ...

Star and planetary scientists get millions of hours on EU supercomputers ...

Bill Gropp named acting director of NCSA ...

Latest NERSC/Intel/Cray dungeon session yields impressive code speed-ups ...

User-friendly language for programming efficient simulations ...

New book presents how deep learning neural networks are designed ...

Liquid light switch could enable more powerful electronics ...

Energy Department to invest $16 million in computer design of materials ...

Pitt engineers receive grant to develop fast computational modelling for 3D printing ...

Environmental datasets help researchers double the number of microbial phyla known to be infected by viruses ...

Teaching machines to direct traffic through deep reinforcement learning ...

Simulations by PPPL physicists suggest that magnetic fields can calm plasma instabilities ...

New material discovery allows study of elusive Weyl fermion ...

New maths to predict dangerous hospital epidemics ...

Kx financial analytics technology tackles Big Data crop research at biotech leader Earlham Institute ...

The Cloud

New hacking technique imperceptibly changes memory virtual servers ...