GPU Computing

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refers to the use of a to accelerate computationally intensive scientific, analytical, and engineering applications by offloading the parallelizable portions of the code from the . Unlike the -optimized serial processing of a , utilize a consisting of thousands of smaller, more efficient cores designed to handle multiple tasks simultaneously. This paradigm is fundamental to modern , particularly for training models and executing in . Software frameworks such as and enable developers to leverage the and per second (FLOPS) of these processors. Today, specialized like the and from , as well as offerings from and , form the backbone of and used for and analytics.

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GPU Computing

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