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 PetaFLOPS, a massive 56,000 trillion floating-point operations per second, based on a mixed precision floating-point operation 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 PFNs requirements, using their knowledge of intra-GPU communication and waste heat processing.
"We are truly honoured that Preferred Networks has chosen NVIDIA Tesla V100 32GB, most advanced data centre 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 centre 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/health care", stated Masataka Osaki, Vice President of Corporate Sales and NVIDIA Japan Country Manager.
Emmy Chang, Board Director, Supermicro KK and VP of Strategic Sales, Supermicro, stated: "Preferred Networks is the first in the world to deploy our SuperServer 4029GP-TRT2 equipped with the latest version of Intel Xeon 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 Chainer 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-health care, 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.