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MetalFX could make Apple a competitor to Alienware

What do you want to know

  • Apple unveiled its MetalFX graphics scaling technology during the company’s Worldwide Developers Conference (WWDC) 2022 keynote as part of its Metal 3 API for developers.
  • MetalFX works similarly to Nvidia’s Deep Learning Super Sampling technology and AMD’s FidelityFX Super Resolution technology by leveraging machine learning to deliver upscaled images for better gaming performance than the rendered purely material.
  • The second game-centric announcement Apple made was for the Fast Resource Loading API, similar to Microsoft’s DirectStorage and AMD’s Smart Access Storage to help reduce game load times.
  • Apple announced that No Man’s Sky and Resident Evil: Village will be among the first games for Mac to use this new technology, allowing the game to go from 1080p on low-end hardware to 4K on high-end devices, like the Mac Studio.
  • Mac gamers could benefit from solid graphics performance despite the lack of a discrete GPU. Another key benefit is longer battery life on laptops, which could be appealing to mobile gamers playing on laptops.

After unveiling new hardware, like a newly redesigned MacBook Air and a refreshed 13-inch MacBook Pro, both powered by the company’s latest M2 silicon, Apple has sneakily announced its intention to be the next gaming powerhouse. company introduced new development tools, mainly Metal 3 API and MetalFX, which is a scaling tool for games powered by artificial intelligence. These moves signify Apple’s intention to move from being a consumer PC company, based on hardware like the iMac and MacBook Air, and focusing on creators with devices like the MacBook Pro, to a gaming brand.

Although new to the Apple ecosystem, tools like MetalFX have been around in the PC space for years, driven largely in the past by Nvidia and more recently supported on rival graphics cards made by AMD. In the Nvidia GeForce world, MetalFX is akin to Nvidia’s Deep Learning Super Sampling, or DLSS, technology, which uses machine learning to analyze different parts of a scene in a game and scale it to create a sharper and more detailed image.

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