Wave Computing massively parallel Deep learning system is 100X improved on inference versus …

Wave Computing was founded with the vision of delivering deep learning computers with game-changing computational performance and energy efficiency. Their objective is to enable businesses to analyze complex data in real-time with more accurate results through a fluid discovery and improvement in Deep Neural Network (DNN) development and training with our family of computers.To achieve their goal, Wave developed a novel Dataflow Processing Unit (DPU) architecture as part of a strategy to natively support a new wave of dataflow model based deep learning frameworks such as Google’s TensorFlow and Microsoft’s CNTK.They have a massively parallel dataflow processing architecture called the Wave Dataflow Processing Unit (DPU) for deep learning.Wave’s Deep Learning Computers for TensorFlow delivers more than 10x on model training and more than 100x improvement on inference over existing GPU…


Link to Full Article: Wave Computing massively parallel Deep learning system is 100X improved on inference versus …