From Pixels to Predictions: How GPUs Started Powering Modern AI
SMRTR summary
Graphics cards originally designed for gaming unexpectedly became the driving force behind modern AI development. While early machine learning relied on slow, sequential CPU processing, GPUs offered thousands of cores working in parallel, dramatically reducing training times from weeks to days. The 2012 AlexNet breakthrough, which won a major computer vision competition using consumer gaming GPUs, proved these graphics cards were perfect for AI's matrix calculations and launched the current AI revolution.
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