With an ever-expanding array of future-focused use-cases and solutions, Artificial Intelligence (AI) has rapidly become an essential business and research tool for enterprise, academic, and government end-users. Organizations everywhere are investing incredible amounts of resources into the development of these solutions, and while these AI capabilities are proving to add significant value to our lives, they are also proving to be some of the most demanding workloads in modern computing history. It should come as no surprise that the high-performance computing (HPC) clusters required to run AI workloads place significant strain on traditional (and in some cases “legacy”) IT infrastructure, as businesses struggle to keep pace with ever-expanding sets of hot and warm data.
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