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#AMD says 2024 will likely be a giant yr for its AI upscaling efforts

AMD says 2024 will likely be a giant yr for its AI upscaling efforts

Although Nvidia has had the higher hand within the AI decision upscaling applied sciences for years now, AMD could also be seeking to improve its personal AI roster within the coming yr. In line with one of many firm’s executives, AMD is now able to lean extra closely in the direction of AI-based applied sciences.

Whether or not massive issues actually are on the horizon for AMD’s AI efforts stays to be seen, in fact, however the CTO Mark Papermaster believes 2024 will likely be a “big yr” for the corporate on this regard. In a latest interview hosted on the No Priors podcast (through IGN) Papermaster mentioned that AMD now has a full stack of AI-based {hardware} and software program capabilities, which can assist in “enabling [their] whole portfolio” of companies.

Picture through AMD

AMD is about to give attention to AI upscaling in 2024

“We’ve spent so a few years creating our {hardware} and software program capabilities for AI,” mentioned Papermaster. “We’ve simply accomplished AI enabling our whole portfolio: Cloud, edge, PCs, embedded gadgets, our gaming gadgets. We’re enabling our gaming gadgets to upscale utilizing AI, and 2024 is actually an enormous deployment yr for us.”

Notably, although AMD does have its personal competitor to Nvidia’s DLSS and Intel’s XeSS supersampling applied sciences, the FidelityFX Tremendous Decision (FSR), it doesn’t leverage AI to enhance its picture output. Equally, AMD has developed an alternative choice to Nvidia’s body technology expertise, however it too is outmatched most often, primarily attributable to its decrease reliance on AI implementation.

Papermaster’s assertion apparent implies that one thing is certain to vary in how AMD handles its upscaling expertise, and the upcoming RDNA 4 graphics playing cards might be key on this regard. Over the previous couple of generations of graphics processors, Nvidia has been way more aggressive in adopting devoted AI {hardware}, such because the Tensor cores, and the presence of bodily move accelerators on its GPUs has meant Nvidia customers had the higher hand in relation to body technology applied sciences.

If RDNA 4 comes out with improved {hardware} help for decision upscaling and body technology, and AMD concurrently doubles down on AI on the software program aspect of issues, Nvidia’s lead may very effectively reduce, even when solely barely.

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