Nvidia revolutionized everything with Tensor Cores: 30 times faster performance for AI workloads

Nvidia has revolutionized the world of PC graphics since the introduction of its Tensor Cores in 2017.

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These hardware units are essential for accelerating artificial intelligence workloads, enabling mixed precision computing and significantly improving gaming performance, especially at high resolutions like 4K and 8K.

Tensor Cores are found in all advanced Nvidia graphics and are essential for technologies like DLSS (Deep Learning Super Sampling).

How Tensor Cores Work

By combining artificial intelligence with native hardware, this innovative processing system delivers results that surpass standard rasterization, achieving higher frame rates at demanding resolutions.

Since their first generation, they have evolved significantly, with the latest innovations offering up to 30 times more speed compared to their predecessors.

The first generation, launched with the Volta architecture, helped accelerate AI workloads on servers, while the second and third generations, present in the RTX Turing and Ampere series, expanded precision capabilities, introducing new formats that facilitate deep learning and content creation.

The latest evolution, the fifth-generation Tensor Cores in the Blackwell architecture, promises innovations such as multiframe generation, which allows for a qualitative leap in the gaming experience, especially in 8K.

All these improvements not only benefit players; Tensor Cores are also used in workstations for CAD tasks, scientific calculations, and machine learning, demonstrating their versatility beyond the gaming realm.

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With the continuous update of DLSS capabilities and similar technologies, gamers can expect performance that approaches native quality, which has become a relevant standard in the industry.