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Deep learning techniques have enabled great success in many fields such as computer vision, natural language processing (NLP), gaming and autonomous driving by enabling a model to learn from existing data and then to make corresponding predictions. The success is due to a combination of improved algorithms, access to large datasets and increased computational power. To be effective at enterprise scale, the computational intensity of deep learning neural network training requires highly powerful and efficient parallel architectures. The choice and design of the system components, carefully selected and tuned for deep learning use-cases, can make the difference in the business outcomes of applying deep learning techniques. The Dell EMC Isilon F800 All-Flash Scale-out NAS, along with Dell EMC C4140 PowerEdge Servers and NVIDIA Volta Graphic Processing Units (GPUs) have been demonstrated to deliver excellent performance results in industry-standard deep learning benchmarks.