Deep learning (DL) techniques have enabled great successes 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 larger datasets, and increased computational power. To be effective at enterprise scale, the computational intensity of DL requires highly efficient parallel architectures. The choice and design of the system components, carefully selected and tuned for DL use-cases, can have a big impact on the speed, accuracy, and business value of implementing artificial intelligence (AI) techniques.

This paper focuses on how Dell ECS EXF900 scale-out Object Storage accelerates AI innovation by delivering the performance, scalability, and I/O concurrency for high-performance AI workloads.