MN-3 Deep Learning Supercomputer Jointly Developed with Preferred Networks, Inc. Tops Green500 for Third Time

PFN’s MN-3 Deep Learning Supercomputer Achieves Energy Efficiency of 39.38 GFlops/W, Tops Green500 for Third Time

Preferred Networks, Inc. (PFN) and Kobe University are happy to announce that, PFN’s in-house supercomputer MN-3, powered by MN-Core processor jointly developed by the research group led by Professor Jun Makino (Deputy Director of JICFuS) and PFN, topped the latest Green500 list of the world’s most energy-efficient supercomputers for the third time. The performance per watt has been further improved from the previous value.

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