AMD won't have users 'paying for features they never use' when it comes to AI in GPUs
While Nvidia's liberal use of AI in its graphics card architecture could put HAL 9000 to shame, AMD's relationship with artificial intelligence has been somewhat more tentative. According to David Wang, AMD's Senior Vice President of Engineering at Radeon Technologies, the company is looking into integrating further AI acceleration into its GPUs than it has today—though you can expect a much more sparing application than the green team.
With AMD's latest graphics cards, such as the RX 7900 XTX(opens in new tab), packing AI acceleration for the first time, it's clear to see the red team has begun its adoption of artificial intelligence. In the other corner, Nvidia is now on its fourth iteration of its AI acceleration cores, called Tensor Cores, and has been improving frame rates using AI for some time.
Making use of those impressive Tensor Cores, Nvidia's DLSS 3 upscaler creates new frames by processing current and previous frames with the Optical Flow Accelerator(opens in new tab) each new RTX 40-series card is touting. But what Wang reckons is that now all these new GPUs come with large scale AI accelerators, the green team is stuck jamming AI into all its processes to make effective use of it.
«That's their GPU strategy, which is great, but I don't think we should have the same strategy», says Wang in a 4gamer interview(opens in new tab) late last year, as he mulls over Nvidia's liberal approach to AI (machine translated).
«Nvidia is actively trying to use AI technology even for applications that can be done without using AI technology.»
But Wang goes on to reveal that AMD is looking into implementing AI into its next-generation 3D graphics pipeline.
AMD made it clear a while back that its own DLSS-alternative doesn't
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