7 Ways GPUs are Accelerating Data Science 1 YRS OF HPC Artificial intelligence (AI) is unlocking new frontiers for the academic and scientific communities and the world – and is doing so faster than ever before. AI was previously constrained by the limitations of slow compute architectures based on central processing units (CPUs), which cannot meet the demands of today’s massively parallelised deep- learning algorithms. Computer systems taking advantage of the chip architecture of graphics processing units (GPUs) are changing all that. While a CPU is composed of just a few cores with lots of cache memory that can handle a few software threads at a time, a GPU is composed of hundreds of cores that can handle thousands of threads simultaneously. This enables GPUs to brea

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