<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gpu on BeyondTopics</title><link>https://www.beyondtopics.com/en/tags/gpu/</link><description>Recent content in Gpu on BeyondTopics</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 13 Nov 2026 07:41:18 +0100</lastBuildDate><atom:link href="https://www.beyondtopics.com/en/tags/gpu/index.xml" rel="self" type="application/rss+xml"/><item><title>DLSS Guide: How AI Upscaling Works in Games</title><link>https://www.beyondtopics.com/en/dlss-guide-how-ai-upscaling-works-in-games/</link><pubDate>Fri, 13 Nov 2026 07:41:18 +0100</pubDate><guid>https://www.beyondtopics.com/en/dlss-guide-how-ai-upscaling-works-in-games/</guid><description>&lt;p&gt;The rendering of graphics in modern video games requires extraordinary computing power, especially when using advanced techniques such as ray tracing. To overcome the physical limitations of traditional hardware, modern graphics cards utilize machine learning algorithms capable of lightening the load on the graphics processor. This technique radically transforms the way computers process images on screen, allowing for high fluidity even at high resolutions.&lt;/p&gt;</description></item></channel></rss>