Tag Archives: NVIDIA DGX-1

Fujitsu Supercomputer For RIKEN Uses 24 NVIDIA DGX-1s

SINGAPORE, 7 March 2016Fujitsu announced today that it is using 24 NVIDIA DGX-1 AI systems to help build a Fujitsu supercomputer for RIKEN, Japan’s largest comprehensive research institution, for deep learning research.

The largest customer installation of DGX-1 systems to date, the Fujitsu supercomputer will accelerate the application of AI to solve complex challenges in healthcare, manufacturing and public safety.

“DGX-1 is like a time-machine for AI researchers,” said Jen-HsunHuang, founder and CEO of NVIDIA. “Enterprises, research centres and universities worldwide are adopting DGX-1 to ride the wave of deep learning —the technology breakthrough at the centreof the AI revolution.”

The RIKEN Center for Advanced IntelligenceProject will use the new Fujitsu supercomputer, scheduled to go online next month, to accelerate AI research in several areas, including medicine, manufacturing, healthcare and disaster preparedness.

“We believe that the NVIDIA DGX-1-based system will acceleratereal-world implementation of the latest AI technologies technologies as well as research into next-generation AI algorithms,” said Arimichi Kunisawa, head of the Technical Computing Solution Unit at Fujitsu Limited. “Fujitsu is leveraging its extensive experience in high-performance computing development and AI research to support R&D that utilises this system, contributing to the creation of a future in which AI is used to find solutions to a variety of social issues.”


The New Fujitsu Supercomputer Runs On 24 NVIDIA DGX-1s

Conventional HPC architectures are proving too costly and inefficient for meeting the needs of AI researchers. That’s why companies like Fujitsu and customers such as RIKEN are looking for GPU-based solutions that reduce cost and power consumption while increasing performance.

Each DGX-1 combines the power of eight NVIDIA Tesla P100 GPUs with an integrated software stack optimised for deep learning frameworks, delivering the performance of 250 conventional x86 servers.

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The system features a number of technological innovations unique to the DGX-1, including:

  • Containerised deep learning frameworks, optimised by NVIDIA for maximum GPU-accelerated deep learning training
  • Greater performance and multi-GPU scaling with NVIDIA NVLink, accelerating time to discovery
  • An integrated software and hardware architecture optimized for deep learning

The supercomputer will also use 32 Fujitsu PRIMERGY servers, which, combined with the DGX-1 systems, will boost its total theoretical processing performance to 4 petaflops when running half-precision floating-point calculations.

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SMU Deploys NVIDIA DGX-1 Supercomputer For AI Research

Singapore, 30 November 2016NVIDIA today announced that Singapore Management University (SMU) is the first organisation in Singapore and Southeast Asiato deploy an NVIDIA DGX-1 deep learning supercomputer.

Deployed at the SMU Living Analytics Research Center (LARC), the supercomputer will further research on applying artificial intelligence (AI) for Singapore’s Smart Nation project. Established in 2011, LARC aims to innovate technologies and software platforms that are relevant to Singapore’s Smart Nation efforts. LARC is supported and funded by the National Research Foundation (NRF).



The NVIDIA DGX-1 is the world’s first deep learning supercomputer to meet the computing demands of AI. It enables researchers and data scientists to easily harness the power of GPU-accelerated computing to create a new class of computers that learn, see and perceive the world as humans do.

Providing through put equivalent to 250 conventional servers in a single box, the supercomputer delivers the highest levels of computing power to drive next-generation AI applications, allowing researchers to dramatically reduce the time to train larger, more sophisticated deep neural networks.

Built on NVIDIA Tesla P100 GPUs that use the latest Pascal GPU architecture, the DGX-1 supercomputer will enable SMU to conduct a range of AI research projects for Smart Nation. One of the featured projects is a food AI application to achieve smart food consumption and healthy lifestyle, which requires the analysis of a large number of food photos.

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“This project involves the processing of large amounts of unstructured and visual data. Food photo recognition is not possible without the DGX-1 solution, which applies cutting-edge deep learning technologies and yields excellent recognition accuracy,” said Professor Steven Hoi, School of Information Systems, SMU.

The first phase of the food AI project is able to recognise 100 of the most popular local dishes in Singapore. The next phase is to expand the current food database to about 1,000 popular food dishes in Singapore. In addition to the recognition of food photos, the team will also analyse food data in supermarkets to help with the recommendation of healthy food options.Once developed, the food AI solution will be made available to developers through an API for them to build smart food consumption solutions.

“SMU has been an NVIDIA GPU Research Center using Tesla GPUs for several years. The NVIDIA DGX-1 will give SMU researchers the performance and deep learning capabilities needed to work on their Smart Nation projects, which will further advance Singapore’s aspirations,” said Raymond Teh, vice president of sales and marketing for Asia Pacific, NVIDIA.


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