Pioneering AI Acceleration in GPUs
One of NVIDIA’s biggest technological leaps came with the introduction of Tensor Cores, specialized processing units designed for AI and deep learning applications. These cores debuted with the Volta architecture and were later integrated into the Turing architecture, making their way into the GeForce RTX 20 series.
Originally developed to power DLSS (Deep Learning Super Sampling) for AI-driven image upscaling in games, Tensor Cores now extend beyond gaming. They are widely used in applications such as video editing, machine learning, and AI-driven creative tools.
While NVIDIA was the first to introduce AI processing cores in consumer GPUs, competition is heating up. Intel has launched XMX cores to achieve similar AI acceleration, and AMD is set to introduce AI-powered GPUs with the upcoming Radeon RX 9000 series. However, NVIDIA still holds the lead due to its extensive experience and robust AI software ecosystem.
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