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Machine Learning-Powered AMD FSR Redstone Strives for Equal Performance with Nvidia's DLSS

AMD unveiled FSR Redstone at Computex 2025 event.

Machine Learning-Powered AMD FSR Redstone Aims to Match Nvidia's DLSS Performance Levels
Machine Learning-Powered AMD FSR Redstone Aims to Match Nvidia's DLSS Performance Levels

Machine Learning-Powered AMD FSR Redstone Strives for Equal Performance with Nvidia's DLSS

Unleashing AMD's FSR Redstone: A significant upgrade for gambling graphics

Gamers, buckle up! AMD is gearing up for some thrilling announcements as part of its Computex 2025 extravaganza, and they've got something special in store for their FidelityFX Super Resolution (FSR) technology. Say hello to the much-anticipated FSR Redstone, set to outshine its rivals with a suite of features inspired by Nvidia's Deep Learning Super Sampling (DLSS).

Let's take a quick stroll down memory lane, shall we? The latest FSR installation, FSR 4, made a splashy debut alongside the launch of the Radeon RX 9700 series, specifically the Radeon RX 9070 and Radeon RX 9070 XT. While the initial lineup of supported games was relatively small, AMD is confident of doubling that number by June 5, timed perfectly with the arrival of the Radeon RX 9060 XT. But that's not all—AMD is already charting the course for FSR Redstone as the next ambitious upgrade for FSR.

As of now, AMD has kept mum on the details, but they've spilled the beans on three exciting features that will be part of FSR Redstone: neural radiance caching, machine learning ray regeneration, and machine learning frame generation. Ring any bells? That's because these features are already a part of the Nvidia DLSS suite.

Neural radiance caching is like a smart shader on steroids, learning how light bounces around in a scene and storing indirect lighting assets in a nifty cache. The objective? To accelerate path tracing by cashin' in on that learned knowledge when needed. Sound familiar? Ray regeneration is the DLSS equivalent, leveraging a trained neural network to predict and filter grainy noise in real time—much like ray reconstruction.

FSR Redstone pushes AMD's super-resolution game to new heights with a more sophisticated machine learning model for upscaling performance through real-time prediction and reconstruction of lower resolution frames. The result? Smoother, more responsive gameplay.

So, what's new with FSR Redstone? AMD is getting its hands grubby with machine learning for frame generation, a feature that FSR had previously played fair and square without reinforcements from the AI. This upgrade should improve performance and visual quality.

But when can we expect to get our hands on FSR Redstone? AMD has been rather hush-hush about the release date, only confirming a leak in the latter half of the year. FSR Redstone will make its grand entrance with native compatibility for RDNA 4-powered graphics cards. Alas, there's been no chatter about whether it'll play nicely with previous generations of RDNA graphics cards. Since FSR 4 is an exclusive bandit, FSR Redstone support for older AMD Radeon graphics cards seems limited at best.

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Gadget enthusiasts, get ready for an exciting update in technology. AMD's forthcoming FSR Redstone, inspired by Nvidia's DLSS, will integrate artificial-intelligence features such as neural radiance caching, machine learningray regeneration, and machine learning frame generation into its super-resolution technology, aiming to provide smoother and more responsive gameplay.

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