Posts Taged supercomputer

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

It will become operational in July to provide a combined computing power of 200*1 PetaFLOPS*2.

 

March 18, 2019, Tokyo Japan – Preferred Networks, Inc. (PFN, Head Office: Tokyo, President & CEO: Toru Nishikawa) 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*3 computing platform, using NVIDIA(R) 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(TM), 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.

Conceptual image of the completed MN-2

 

  • Outline of PFN’s next-generation private supercomputer MN-2

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*4, to interconnect with other GPU nodes. The uniquely tuned interconnect realizes high-speed, multi-node processing. Concurrently, PFN will self-build software-defined storage*5 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(TM) 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.

Comments from Takuya Akiba,
Corporate Officer, VP of Systems, Preferred Networks, Inc.

“We have been utilizing large-scale data centers 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.”

 

Comments from Masataka Osaki,
Japan Country Manager, Vice President of Corporate Sales, NVIDIA

“NVIDIA is truly honored 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 centers. 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.”

 

*1: The figure for MN-1 is the total PetaFLOPS in half precision. For MN-1b and MN-2, the figures are PetaFLOPS in mixed precisions. Mixed precisions are the combined use of more than one precision formats of floating-point operations.

*2: PetaFLOPS is a unit measuring computer performance. Peta is 1,000 trillion (10 to the power of 15) and FLOPS is used to count floating-point operations per second. Therefore, 1 PetaFLOPS means that a computer is capable of performing 1,000 trillion floating-point calculations per second.

*3: General-purpose computing on GPU

*4: RDMA over Converged Ethernet. RoCEv2 is one of the network protocols for direct memory access between remote nodes (RDMA) and a method to achieve low latency and high throughput on the Ethernet.

*5: Software-defined storage is a storage system in which software is used to centrally control distributed data storages and increase their utilization ratios.

 

*MN-Core(TM) and Chainer(TM) are the trademarks or registered trademarks of Preferred Networks, Inc. in Japan and elsewhere.

Preferred Networks to Launch “MN-1b” Private Sector Supercomputer Adopting NVIDIA Tesla V100 32GB GPUs Will expand NTT Com Group’s multi-node GPU platform

TOKYO, JAPAN — Preferred Networks, Inc. (PFN), a provider of IoT-centric deep learning systems, NTT Communications Corporation (NTT Com), the ICT solutions and international communications business within the NTT Group, and NTT Com subsidiary NTT PC Communications Incorporated (NTT PC) announced today that PFN will launch an expanded version of its MN-1 private sector supercomputer equipped with NTT Com and NTTPC’s next-generation GPU platform by July. The new MN-1b supercomputer will adopt the NVIDIA(R) Tesla(R) V100 32GB, that was announced at GTC 2018 on March 27, 2018 (U.S. time).

PFN plans to enhance MN-1 by adding 512 NVIDIA Tesla V100 32GB GPUs and have them up and running by July, with the added GPUs having a theoretical peak performance of about 56 PetaFLOPS1, a massive 56,000 trillion floating-point operations per second, based on a mixed precision floating-point operation2 used in deep learning. This means the expansion alone will contribute to a roughly threefold increase from the current peak.

PFN expects the new supercomputer’s extra high speed and massive processing environment leveraging the latest GPUs will accelerate the real-world applications of its research and development in deep learning and related technologies and thereby strengthen PFN’s global competitiveness. NTT Com and NTT PC will build and operate the multi-node platform leveraging the latest GPUs that meets PFN’s requirements, using their knowledge of intra-GPU communication and waste heat processing.

“We are truly honored that Preferred Networks has chosen NVIDIA Tesla V100 32GB, most advanced data center GPU with 2X the memory, for its next-generation private supercomputer’s computation environment, “MN-1b”. With NTT Com Group’s experience of establishing and managing highly reliable data center services, combined with NVIDIA’s latest high-speed GPUs for deep learning, we sincerely look forward to R&D results in the fields of transportation systems, manufacturing and biotech/healthcare.”
said Masataka Osaki, Vice President of Corporate Sales and NVIDIA Japan Country Manager.

Emmy Chang, Board Director, Supermicro KK and VP of Strategic Sales, Supermicro said
“Preferred Networks is the first in the world to deploy our SuperServer(R) 4029GP-TRT2 equipped with the latest version of Intel(R) Xeon(R) Scalable processors and supporting eight NVIDIA Tesla V100 32GB GPU accelerators,” “Preferred Networks has developed the world-class private supercomputer through cooperative work with NTT Com Group, and Supermicro continues to support them with our latest innovative hardware and solutions.  We are confident that Preferred Networks will achieve new heights with its new private supercomputer.”

 

PFN will use the new MN-1b to raise the speed of its ChainerTM open source deep-learning framework and further accelerate its research and development in fields that require a huge amount of computing resources, namely transportation systems, manufacturing, bio-healthcare, and creativity.

Going forward, NTT Com expects to increasingly support the delivery of AI technologies and related platforms for advanced research and commercialized deep learning, including the AI business initiatives of PFN.

 

Related links:

Chainer:

Enterprise Cloud:

Nexcenter:

 

Notes:

1 A unit measuring computer performance. Peta is 1,000 trillion (10 to the power of 15) and FLOPS is used to count floating-point operations per second. So, 1 PetaFLOPS means that a computer is capable of performing 1,000 trillion floating-point calculations per second.

2 Mixed precision floating-point operation is a method of floating point arithmetic operations with a combination of multiple precisions.

ChainerTM is a trademark or a registered trademark of Preferred Networks, Inc. in Japan and other countries. Other company names and product names written in this release are the trademarks or the registered trademarks of each company.

 

About Preferred Networks, Inc.

Founded in March 2014 with the aim of promoting business utilization of deep learning technology focused on IoT, PFN advocates Edge Heavy Computing as a way to handle the enormous amounts of data generated by devices in a distributed and collaborative manner at the edge of the network, driving innovation in three priority business areas: transportation, manufacturing and bio/healthcare. PFN develops and provides Chainer, an open source deep learning framework. PFN promotes advanced initiatives by collaborating with world leading organizations, such as Toyota Motor Corporation, Fanuc Corporation and the National Cancer Center.

https://www.preferred-networks.jp/

 

About NTT Communications Corporation

NTT Communications provides consultancy, architecture, security and cloud services to optimize the information and communications technology (ICT) environments of enterprises. These offerings are backed by the company’s worldwide infrastructure, including the leading global tier-1 IP network, the Arcstar Universal One™ VPN network reaching over 190 countries/regions, and over 140 secure data centers worldwide. NTT Communications’ solutions leverage the global resources of NTT Group companies including Dimension Data, NTT DOCOMO and NTT DATA.
www.ntt.com | Twitter@NTT Com | Facebook@NTT Com | LinkedIn@NTT Com

 

NTT PC Communications Incorporated

NTTPC Communications Incorporated (NTTPC), established in 1985 is a subsidiary of NTT Communications, is a network service and communication solution provider in Japanese telco market, The company has been the most strategic technology company of the group throughout of years. NTTPC launched the 1st ISP service of the NTT group, so called “InfoSphere” at 1995, and also launched the 1st Internet Data Center and server hosting services of Japan so called “WebARENA” at 1997. NTTPC have always started something new in ICT market.

Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list

Preferred Networks Launches one of Japan’s Most Powerful Private Sector Supercomputers

Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list

MN-1, a private supercomputer used exclusively by Preferred Networks, Inc. (PFN, Headquarters: Chiyoda-ku, Tokyo, President and CEO: Toru Nishikawa) has recorded a LINPACK  performance of about 1.39 PetaFLOPS 2.  As a result, MN-1 is ranked 12th in the world and 1st in Japan among industrial supercomputers in the TOP500 List (http://www.top500.org), which shows the most powerful supercomputers as of November 2017. When including supercomputers for research purposes, it is listed as 91st in the world and 13th in Japan.   

 

 

About PFN’s private supercomputer MN-1   

MN-1 is equipped with a Graphics Processing Unit (GPU) platform from NTT Communications Corporation (NTT Com, Headquarters: Chiyoda-ku, Tokyo, President and CEO: Tetsuya Shoji) and NTT PC Communications Incorporated (NTTPC, Headquarters: Minato-ku, Tokyo, President and CEO: Motoo Tanaka), and contains 1,024 of NVIDIA (R) ’s Tesla (R) multi-node P100 GPUs. It utilizes Mellanox’s Infiniband interconnect to make high-speed distributed deep learning possible using ChainerMN 4, a distributed deep learning package developed by PFN.    

Using MN-1, PFN will further accelerate its research and development activities in various fields that require a huge amount of computing resources such as transportation systems, manufacturing and bio/healthcare.

 

 

 

1.  A benchmark to compare practical operation speed of computers

2.  A unit measuring computer performance. Peta is 1,000 trillion (10 to the power of 15) and FLOPS is used to count floating-point operations per second. So, 1 PetaFLOPS means that a computer is capable of performing 1,000 trillion floating-point calculations per second.

3.  Preferred Networks launches one of Japan’s most powerful private sector supercomputers
https://www.preferred-networks.jp/en/news/pr20170920

4.  Preferred Networks achieved the world’s fastest training time in deep learning
https://www.preferred-networks.jp/en/news/pr20171110

 

About Preferred Networks, Inc.

Founded in March 2014 with the aim of promoting business utilization of deep learning technology focused on IoT, PFN advocates Edge Heavy Computing as a way to handle the enormous amounts of data generated by devices in a distributed and collaborative manner at the edge of the network, driving innovation in three priority business areas: transportation, manufacturing and bio/healthcare. PFN promotes advanced initiatives by collaborating with world leading organizations, such as Toyota Motor Corporation, FANUC CORPORATION, and the National Cancer Center. (https://www.preferred-networks.jp/en/)

 

*Chainer (R)  is the trademark or the registered trademark of Preferred Networks, Inc. in Japan and other countries. Other company names and product names written in this release are the trademarks or the registered trademarks of each company.