For a half century, supercomputers have performed the tasks that excite people’s imaginations – crunching enough data to simulate nuclear tests, map the human genome, and target the precise locations to drill new oil wells. And they’re taking on even bigger roles today. These high-performance computing (HPC) systems are powering a new wave of data-intensive applications that rely on artificial intelligence (AI), machine learning (ML), 3-D imaging (GPUs), and the Internet of Things (IoT).HPC systems are big and strong, but sometimes things can go wrong. They perform quadrillions of calculations per second, and HPC clusters usually consist of thousands of compute servers that are networked together. If they go down or mis-map connections to key stores of data, they can delay important projects. In addition, they require intensive maintenance, updates, and system checks.To read this article in full, please click her
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