If you’re interested in PC games and you’ve played one of the games released recently”DLSS” is probably a setting that you’ve encountered a couple of times. The graphic setting is developing into an extremely crucial settings for graphics that can alter the experience of a player in an online game, without adding any addition of hardware.

What specifically is the Nvidia DLSS technology? What exactly is it that it can to boost performance? What’s new in the newly announced technology DLSS 3.0 that Nvidia presented alongside its brand new RTX 40 series cards? Find out everything you need be aware of in the latest issue of Technology InDepth.

How do I define DLSS?

Deep Learning Super Sampling, or, simply put, DLSS is the Nvidia’s proprietary technology that powers the majority of its latest graphics cards. It makes use of machine learning to boost games in real-time. It uses AI models to generate high-resolution scans of game elements.

If your graphics card is compatible with DLSS it is possible to enable the feature and then configure it to play games with higher resolutions than the GPU could natively handle or to enhance your performance with an older resolution which is the usual usage scenario.

In the case of example the system you have is fantastic for playing a specific game at 1080p, however it produces unacceptable frame rates when you play the same game in 1440 pixels (2K resolution) Your system’s hardware will only allow you to play at 1080p, which is a satisfying seamless experience.

But, if you incorporate DLSS to the equation, then the system could produce 1080p images and make use of DLSS to increase the frames in real-time to 2K resolutions, before sending them to your screen. This will allow you to play 1440p video while your GPU is producing 1080p frames.