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DL is an area of AI which uses artificial neural networks to enable accurate pattern recognition of complex real-world patterns by computers. These new levels of innovation have applicability across nearly every industry vertical. Some of the early adopters include advanced research, precision medicine, high tech manufacturing, advanced driver assistance systems (ADAS), and autonomous driving. Building on these initial successes, AI initiatives are springing up in various business units, such as manufacturing, customer support, life sciences, marketing, and sales. Organizations are faced with a multitude of complex choices related to data, analytic skill sets, software stacks, analytic toolkits, and infrastructure components—each with significant implications on the time-to-market and the value associated with these initiatives.
Over the last few years, Dell Technologies and AMD have established a strong partnership to help organizations accelerate their AI initiatives. Together our technologies provide the foundation for successful AI solutions that drive the development of advanced DL software frameworks. These technologies also deliver massively parallel compute in the form of AMD Graphic Processing Units (GPUs) for parallel model training and scale-out file systems to support the concurrency, performance, and capacity requirements of unstructured image and video data sets.
This document presents how customers could use Dell PowerScale F900 Object Storage and Dell PowerEdge R7525 servers to train an AI model using AMD Instinct MI100 GPUs. This new offer gives customers more flexibility in how they deploy scalable, high performance DL infrastructure. The results of standard image classification training benchmarks using TensorFlow are included.