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Arm Neural Technology Brings AI-Powered PC-Quality Graphics to Smartphones

Mobile GPUs get their biggest upgrade yet with built-in AI cores

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by Sagnik Das Gupta
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Summary

  • Arm unveils Neural Technology, which integrates dedicated neural accelerators into mobile GPUs.
  • Neural Super Sampling (NSS) uses AI to double resolution and cut GPU workloads by up to 50%.
  • Developer tools available now, giving game studios a head start before the first Neural GPU-powered devices launch in 2026.

Arm has now announced plans to integrate dedicated neural processing hardware into its future mobile GPUs. This should bring advanced AI-powered graphics capabilities to phones, similar in concept to Nvidia's Tensor Cores. 

Revealed at SIGGRAPH 2025, the new Arm Neural Technology will embed neural accelerators directly into mobile GPUs. The first feature to use this will be Neural Super Sampling (NSS), an AI-powered upscaling technology that can boost resolution from 540p to 1080p in around four milliseconds per frame. Arm also took to its official YouTube channel to post a video of the upscaling at work. 

Additionally, it will do so while cutting GPU workloads by up to 50%. This will work how DLSS 3 and DLSS 4 work on PC games. Arm states that the dedicated neural accelerators will be brought to Arm GPUs from 2026. 

Besides, to prepare the developer community, Arm is also releasing a Neural Graphics Development Kit. "We are launching the world’s first publicly available neural graphics development kit, designed to integrate AI-powered rendering into existing workflows so that developers can start building today, a full year ahead of hardware availability," Arm writes in the official release blog. 

Arm neural AI upscaling from 540p to 1080p at work
Image Credit: Arm (via YouTube/ Arm, screenshot by Sagnik Das Gupta/ Beebom Gadgets)
Arm neural AI upscaling from 540p to 1080p at work
Image Credit: Arm (via YouTube/ Arm, screenshot by Sagnik Das Gupta/ Beebom Gadgets)

This kit includes an Unreal Engine plug-in, a Vulkan emulator for PCs, profiling tools and open-source model weights that are available via GitHub and Hugging Face. The technology also brings a new "Graph Pipeline" stage to the Vulkan API. This enables AI inference to run alongside traditional graphics and computing tasks. 

According to Arm, the architecture will eventually support features beyond upscaling, like AI-assisted ray tracing, frame generation and more, with all inference running directly on the GPU itself. 

By building neural capabilities into its GPU IP, Arm is seemingly looking to narrow the performance gap between phones and desktop-class graphics. This could potentially redefine what's possible in mobile gaming next year and beyond. 

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Sagnik Das Gupta profile picture
Sagnik Das Gupta

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Expertise :

With a little over five years under his belt, Sagnik Das Gupta now spends his days fearlessly taming new smartphones that arrive at the Beebom office. If not that, you will find him aggressively editing news stories or having an existential crisis. When he's not busy editing content or judging a phone, he's found serenading himself with a guitar or rage-quitting video games.

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