Artificial Intelligence (AI) and Deep Learning (DL) are creating the toughest workloads in modern computing history. They pose exceptional challenges to and put significant strain on compute, storage and network resources. A true AI-enabled datacenter must concurrently and efficiently service the entire spectrum of activities involved in the AI and DL process, including data ingest, data manipulation, training and inference.
