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How Do GPUs Work?
Graphics Processing Units (GPUs) are highly parallel processors optimized for throughput rather than latency. Unlike CPUs, which are designed for diverse sequential tasks with a few complex cores, GPUs contain thousands of simpler, lightweight cores that excel at executing the same instruction across many data elements. For example, a modern NVIDIA A100 GPU has 6,912 CUDA cores, compared to a CPU with typically 8–64 cores. This massive parallelism makes GPUs indispensable not just for rendering graphics but also for scientific simulations, cryptography, and modern artificial intelligence training.
Written byMelissa Olson
Published onAugust 27, 2025
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