GPU computing utilizes the parallel processing power of Graphics Processing Units (GPUs) to accelerate general-purpose scientific, engineering, and data analytics applications. GPUs are designed for parallel processing, making them much faster than CPUs for certain tasks like deep learning, image processing, and simulations. They are commonly used in fields such as artificial intelligence, computational fluid dynamics, and financial modeling.
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