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Glossary/Hardware

DLSS

Nvidia's technology that uses AI to upscale lower-resolution images to higher resolutions while maintaining visual quality and boosting frame rates in games.

Also known as: deep learning super sampling, dlss upscaling, nvidia dlss, super sampling ai

DLSS (Deep Learning Super Sampling) is Nvidia's proprietary upscaling technology found in GeForce graphics cards. It renders a game at a lower resolution, then uses artificial intelligence to intelligently upscale the image to your monitor's native resolution. The result is better frame rates without a proportional loss in visual quality.

DLSS works by training neural networks on high-quality images. When you play a game, the AI analyses the lower-resolution frame and reconstructs detail that would normally be lost during upscaling. Nvidia has released multiple versions: DLSS 2 introduced significant quality improvements, whilst DLSS 3 added frame generation, which creates entirely new frames between rendered ones to further boost performance.

A practical example: you might play a demanding game at 1440p instead of native 4K, then DLSS upscales it to 4K. You gain 30 to 50 per cent higher frame rates compared to native 4K rendering, often with minimal visible difference in image quality.

When buying a graphics card, check whether DLSS support matters for your favourite games. Not all titles use it, though adoption is widespread in modern AAA games. DLSS 3 with frame generation requires RTX 40 series cards or newer, whilst older RTX cards support DLSS 2. Performance gains vary by game and upscaling quality setting (Quality, Balanced, or Performance modes). If you game at high resolutions or want maximum frame rates, DLSS support is a genuine advantage.