RTX 4000 vs. RX 7000: AMD could finally stand up to Nvidia with AI


The competition between Nvidia and AMD enters the next round in the fourth quarter. The presentation of the new GeForce RTX 4000 and Radeon RX 7000 graphics cards should provide excitement. Mainly due to recent leaks that are fueling AMD’s race to catch up.

Despite the current neck-and-neck race, AMD continues to have a hard time catching on with gamers. The recently published Steam analysis revealed that more than 75 percent of users rely on Nvidia. There are no worlds between the GPU performance of the two chip manufacturers for a long time, unless you bring two important technologies into the comparison – ray tracing and AI upsampling.

And this is exactly where the Radeon RX 7000 family could score this year. Because the well-known AMD technology FidelityFX Super Resolution 2.0 (FSR 2.0) should gain an important component in the future with the possibility of machine learning. So far, only Nvidia has used artificial intelligence with its Deep Learning Super Sampling (DLSS), which is why the upsampling technology for significantly increasing the FPS numbers is the undisputed market leader. Especially when ray tracing meets high resolutions.

First signs of AI upsampling in AMD graphics cards

Various Twitter users (via VideoCardz) have now come across information that brings AMD’s new graphics card generation (GFX11) in connection with the “Wave Matrix Multiply-Accumulate” technology (WMMA) and the associated AI algorithms. It’s still unclear whether AMD will use the aforementioned matrix operations this year to stand up to Nvidia’s tensor cores, but the chances are good. AMD’s technical inferiority could possibly be compensated for in this area and the competition against the Nvidia GeForce RTX 4000 cards could become even more exciting. If the price-performance ratio, the power consumption and the memory configuration of the new RDNA 3 graphics cards are also convincing, AMD could offer the better GPU package for gamers this year and next.

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