PFN has driven innovative work with CuPy, ImageNet in 15 minutes, Optuna, and other projects that have pushed the boundaries of design and engineering. As part of the PyTorch community, PFN brings with them creative engineering capabilities and experience to help take the framework forward. In addition, PFN’s migration to PyTorch will allow it to efficiently incorporate the latest research results to accelerate its R&D activities, given PyTorch’s broad adoption with researchers, and to collaborate with the community to add support for PyTorch on MN-Core, a deep learning processor currently in development.