Tensor Cores: The Powerhouse Behind AI-Driven Performance
NVIDIA revolutionized GPU computing with the introduction of Tensor Cores, specialized processors designed for AI training and deep learning applications. First launched with the Volta architecture and later refined in the Turing-powered GeForce RTX 20 series, these cores play a crucial role in enabling Deep Learning Super Sampling (DLSS) and other AI-driven technologies.
Although competitors like Intel have developed XMX cores for similar purposes and AMD is set to introduce AI acceleration in the upcoming Radeon RX 9000 series, NVIDIA maintains a significant lead. The company’s deep-learning models have been continuously optimized over several years, providing an unmatched level of performance in gaming and AI workloads.
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