Inspur Shares Innovative Deep Learning Technology at GTC16

SAN FRANCISCO, April 5, 2016 /PRNewswire/ — Inspur released the Caffe-MPI, a multi node parallel version open source framework for Deep Learning, at the 2016 GPU Technology Conference (GTC16), which is being held from April 4-7 in Silicon Valley, California.Inspur also announced its plan to launch a Deep Learning Speedup Program (DLSP), aimed at facilitating the accelerated development and efficient application of Deep Learning — from the perspectives of hardware infrastructure, system optimization and parallel framework.Caffe-MPI to Speed Up Deep LearningThe newly released version of Caffe-MPI features excellent cluster parallel scalability. Testing data shows that in a 4-node environment, the performance of the new version with 16 GPU cards is 13 times higher than the single GPU card version. Another feature of the new version is its support for the cuDNN library, which…

Link to Full Article: Inspur Shares Innovative Deep Learning Technology at GTC16

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