The development of lnternet big data and data sharing platform has obtained massive data accumulation, and also provided a strong driving force for the development of deep learning. However, due to the complex network model, many parameters, difficult convergence and large number of samples, the deep learning hardware system has higher requirements for computing power, The GPU deep learning platform solution is designed and optimized from the aspects of computing acceleration, storage system, network system, etc. to help users solve massive computing problems faced by deep learning in the training process, simplify the difficulty of building deep learning platforms.reduce business investment costs, and empower users to study deep learning, it can be widely used in image recognition,face recognition,speech recognition,natural language processing and other application scenarios.

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