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GPU Acceleration

/ˌdʒiːˌpiːˈjuː ækˌsɛləˈreɪʃən/noun
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GPU acceleration is the process of offloading computational tasks from a central processing unit (CPU) to a graphics processing unit (GPU) to achieve faster performance through parallel processing. This technique shines in data-intensive applications like machine learning and video editing, where GPUs handle thousands of simultaneous operations that would bog down a CPU, making it a game-changer in modern tech workflows.

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