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."