Artificial Intelligence and especially deep learning bring new demands to how data is served to the compute engines that consume it. The new realities of deploying artificial intelligence in the data centre change the demands of density, throughput, concurrency and even scale-out data architecture change. IT must think differently about marrying storage and compute to deliver on the promise of AI for the enterprise.
This paper describes how deep learning and artificial intelligence in the enterprise bring new workflows and challenges to data centre architecture. It also addresses how solutions can be constructed from infrastructure architectures specifically designed to bring scale-out compute and storage closer together.
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