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Primeur weekly 2019-03-25

Special

Meeting the challenges of tomorrow - at scale ...

FocusCoE to support HPC Centres of Excellence for outreach to the broader European HPC community ...

Focus

University of Maribor and XENYA signed contract for an HPC system as part of the national research infrastructure project HPC - RIVR, readying Slovenia for EuroHPC participation ...

Exascale supercomputing

U.S. Department of Energy and Intel to deliver first exascale supercomputer ...

Argonne deepens the Department of Energy's footprint in high-impact computing ...

Crowd computing

NVIDIA announces Jetson Nano: $99 tiny, yet mighty NVIDIA CUDA-X AI computer that runs all AI models ...

Quantum computing

In a new quantum simulator, light behaves like a magnet ...

Long-distance quantum information exchange - success at the nanoscale ...

Middleware

NERSC and NVIDIA to partner on compiler development for Perlmutter system ...

Hardware

DDN to unveil transformative solutions for accelerating AI, analytics and Deep Learning at NVIDIA GTC 2019 ...

NVIDIA introduces new breed of high-performance workstations for millions of data scientists ...

Global computer companies announce NVIDIA-powered enterprise servers optimized for data science ...

Mellanox HDR 200G InfiniBand deep learning acceleration engines demonstrates two times higher performance for Artificial Intelligence (AI) platforms with NVIDIA ...

Altair OptiStruct runs up to 10x faster on NVIDIA GPUs ...

Pure Storage unveils NVIDIA-powered solutions for full spectrum of AI initiatives ...

Preferred Networks builds MN-2, a state-of-the-art supercomputer powered with NVIDIA GPUs ...

Supermicro offers end-to-end portfolio of NVIDIA GPU systems ...

Applications

H5 Data Centers completes a High-Performance Compute (HPC) suite in partnership with Forced Physics Data Center Technology ...

Supercomputers to help supercharge ceramic matrix composite manufacturing ...

A surprising, cascading earthquake ...

Brain-inspired AI inspires insights about the brain and vice versa ...

Supercomputer simulations shed light on how liquid drops combine ...

Novel MD simulation sheds light on mystery of hydrated electron's structure ...

Kicking neural network automation into high gear ...

DOE extends University PPPL contract ...

The Cloud

NVIDIA teams with Amazon Web Services to bring AI to millions of connected devices ...

Preferred Networks builds MN-2, a state-of-the-art supercomputer powered with NVIDIA GPUs


Conceptual image of the completed MN-2.
18 Mar 2019 Tokyo - Preferred Networks Inc. (PFN) will independently build a new private supercomputer called MN-2 and start operating it in July 2019. MN-2 is a cutting-edge multi-node GPGPU computing platform, using NVIDIA V100 Tensor Core GPUs. This, combined with two other PFN private supercomputers - MN-1 (in operation since September 2017) and MN-1b (in operation since July 2018), will provide PFN with total computing resources of about 200 PetaFLOPS. PFN also plans to start operating MN-3, a private supercomputer with PFN's proprietary deep learning processor MN-Core, in spring 2020.

By continuing to invest in computing resources, PFN will further accelerate practical applications of research and development in deep learning technologies and establish a competitive edge in the global development race.

MN-2 is PFN's private supercomputer equipped with 5,760 latest CPU cores as well as 1,024 NVIDIA V100 Tensor Core GPUs and will be fully operational in July 2019. MN-2 is to be built on the premises of Yokohama Institute for Earth Sciences, Japan Agency for Marine-Earth Science and Technology. MN-2 will not only work with MN-3, which is scheduled to start operation in 2020 on the same site, but also connect with MN-1 and MN-1b, MN-2's predecessors that are currently up and running, in a closed network. MN-2 can theoretically perform about 128 PetaFLOPS in mixed precision calculations, a method used in deep learning. This means that MN-2 alone has more than double the peak performance of MN-1b.

Each node on MN-2 has four 100-gigabit Ethernets, in conjunction with the adoption of RoCEv2, to interconnect with other GPU nodes. The uniquely tuned interconnect realizes high-speed, multi-node processing. Concurrently, PFN will self-build software-defined storage with a total capacity of over 10PB and optimize data access in machine learning to speed up the training process.

PFN will fully utilize the open-source deep learning framework Chainer on MN-2 to further accelerate research and development in fields that require a large amount of computing resources such as personal robots, transportation systems, manufacturing, bio/healthcare, sports, and creative industries.

Takuya Akiba, Corporate Officer, VP of Systems, Preferred Networks Inc., stated: "We have been utilizing large-scale data centres with the state-of-the-art NVIDIA GPUs to do research and development on deep learning technology and its applications. High computational power is one of the major pillars of deep learning R&D. We are confident that the MN-2 with 1,024 NVIDIA V100s will further accelerate our R&D."

Masataka Osaki, Japan Country Manager, Vice President of Corporate Sales, NVIDIA, stated: "NVIDIA is truly honoured that Preferred Networks has chosen NVIDIA V100 for the MN-2, in addition to the currently operating MN-1 and MN-1b, also powered with our cutting-edge GPUs for data centres. We anticipate that the MN-2, accelerated by NVIDIA's flagship product with high-speed GPU interconnect NVLink, will spur R&D of deep learning technologies and produce world-leading solutions."
Source: Preferred Networks

Back to Table of contents

Primeur weekly 2019-03-25

Special

Meeting the challenges of tomorrow - at scale ...

FocusCoE to support HPC Centres of Excellence for outreach to the broader European HPC community ...

Focus

University of Maribor and XENYA signed contract for an HPC system as part of the national research infrastructure project HPC - RIVR, readying Slovenia for EuroHPC participation ...

Exascale supercomputing

U.S. Department of Energy and Intel to deliver first exascale supercomputer ...

Argonne deepens the Department of Energy's footprint in high-impact computing ...

Crowd computing

NVIDIA announces Jetson Nano: $99 tiny, yet mighty NVIDIA CUDA-X AI computer that runs all AI models ...

Quantum computing

In a new quantum simulator, light behaves like a magnet ...

Long-distance quantum information exchange - success at the nanoscale ...

Middleware

NERSC and NVIDIA to partner on compiler development for Perlmutter system ...

Hardware

DDN to unveil transformative solutions for accelerating AI, analytics and Deep Learning at NVIDIA GTC 2019 ...

NVIDIA introduces new breed of high-performance workstations for millions of data scientists ...

Global computer companies announce NVIDIA-powered enterprise servers optimized for data science ...

Mellanox HDR 200G InfiniBand deep learning acceleration engines demonstrates two times higher performance for Artificial Intelligence (AI) platforms with NVIDIA ...

Altair OptiStruct runs up to 10x faster on NVIDIA GPUs ...

Pure Storage unveils NVIDIA-powered solutions for full spectrum of AI initiatives ...

Preferred Networks builds MN-2, a state-of-the-art supercomputer powered with NVIDIA GPUs ...

Supermicro offers end-to-end portfolio of NVIDIA GPU systems ...

Applications

H5 Data Centers completes a High-Performance Compute (HPC) suite in partnership with Forced Physics Data Center Technology ...

Supercomputers to help supercharge ceramic matrix composite manufacturing ...

A surprising, cascading earthquake ...

Brain-inspired AI inspires insights about the brain and vice versa ...

Supercomputer simulations shed light on how liquid drops combine ...

Novel MD simulation sheds light on mystery of hydrated electron's structure ...

Kicking neural network automation into high gear ...

DOE extends University PPPL contract ...

The Cloud

NVIDIA teams with Amazon Web Services to bring AI to millions of connected devices ...