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.
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."
"Nvidia is actively trying to use AI technology even for applications that can be done without using AI technology."
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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 need machine learning to work(opens in new tab), though I do wonder if AI will play a pivotal role in the upcoming FidelityFX Super Resolution 3 (FSR 3)—the company's upcoming DLSS-a-like upscaler with "Fluid Motion Frames" frame generation tech.
However, the new approach with RDNA 3 has been to implement AI, with the new AI Matrix Accelerator block inside the Navi 31 GPU, but only where it's really needed.
"We are focused on including the specs that users want and need to give them enjoyment in consumer GPUs. Otherwise, users are paying for features they never use."
"Even if AI is used for image processing, AI should be in charge of more advanced processing," says Wang. The plan is to ensure any AI tech AMD brings to the table isn't limited to image processing.
Nvidia also uses AI for a plethora of application, such as intelligent noise cancellation and allowing uncanny valley levels of eye contact(opens in new tab). Instead of future AMD graphics card adopters creeping us out with AI-powered eye contact algorithms, Wang hints that one main focus for AMD's AI applications could be on "the movement and behaviour of enemy characters and NPCs" in the future.