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

Preferred Networks’ automatic coloring service PaintsChainer receives the Excellence Award at the 21st Japan Media Arts Festival

Hakusensha and Hakuhodo DY Digital Announces the Launch of Colorized Manga Products Using PaintsChainer, a Deep Learning Coloring Technology created by Preferred Networks

FANUC, Hitachi, and Preferred Networks to establish a joint venture company for the development of Intelligent Edge Systems

Preferred Networks raises a total of over 2 billion yen from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.

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

Preferred Networks achieved the world’s fastest training time in deep learning, completed training on ImageNet in 15 minutes,using the distributed learning package ChainerMN and a large-scale parallel computer

Preventive Maintenance Feature of Injection Molding Machine Using AI (Deep Learning)

AI (Machine Learning) Improves Wire-cut EDM Accuracy

Preferred Networks released open source deep learning framework Chainer v3 and NVIDIA GPU array calculation library CuPy v2

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

Preferred Networks officially released ChainerMN version 1.0.0, a multi-node distributed learning package, making it even faster with stablized data-parallel core functions