GPU-accelerated computing is the employment of a graphics processing unit (GPU) along with a computer processing unit (CPU) in order to facilitate processing-intensive operations such as deep learning, analytics and engineering applications. Developed by NVIDIA in 2007, the GPU provides far superior application performance by removing processing-intensive application sections to GPU. GPU-accelerated computing deployment is growing in popularity due to the large variety of applications in which it could be used, such as artificial intelligence, drones, robots or autonomic cars.
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