The original DLSS required training the AI network for each new game. DLSS 2.0 trains using non-game-specific content, delivering a generalized network that works across games.

What exactly is DLSS and why is everyone talking about it? Is DLSS worth it? This guide will help you understand why DLSS is such a good technology.

DLSS takes advantage of AI models that are continuously improved through ongoing training on NVIDIA supercomputers, providing better image quality and performance across more games and applications.

Jan 23, 2025 · Rather than leave you with the soft and potentially blurry image you would experience turning up the resolution yourself, DLSS applies its scaling through a neural network that has been …

Nov 24, 2025 · DLSS 2.0 changed everything by introducing temporal upsampling. Instead of looking at a single low-resolution frame in isolation, the AI now examines multiple frames over time.

Jan 23, 2025 · This year at CES, Nvidia presented the next generation of its DLSS upscaling technology, which is trained with the help of artificial intelligence, alongside the new GeForce RTX …

Apr 16, 2025 · DLSS forces a game to render at a lower resolution (typically 1440p) and then uses its trained AI algorithm to infer what it would look like if it were rendered at a higher one (typically 4K).

Jan 19, 2025 · The company has revealed a surprising secret weapon in its quest for visual fidelity: a massive supercomputer dedicated to training and refining DLSS models.

Jan 8, 2025 · DLSS is trained on a vast dataset of high-resolution images and their corresponding low-resolution counterparts, allowing the neural network to learn how to reconstruct intricate details.

Jun 17, 2025 · What makes DLSS particularly clever is its training methodology. NVIDIA uses its Saturn V supercomputer to train the neural networks by comparing lower-resolution images with “perfect”...