Nvidia DLSS Technology is a well designed AI Trained Program improved with deep learning technology that gives higher frame rates while rendering high quality sharp, realistic, colorful frames in gameplays. The Nvidia DLSS boosts the ray tracing settings and increases the output resolution so the gamers can now expect higher frame rates in 4K gaming keeping the Ray Tracing feature ON.
What is DLSS?
DLSS stands for Deep Learning Super Sampling which gives the basic idea of this technology. In 2018 Nvidia initially launched this with the first generation of RTX, The RTX 2000 series. In computers, all the components are designed to do calculations according to specified instructions and environments. Computers don’t have the intelligence to store or realize and respond to the responses.
And that’s why the DLSS came to life. Nvidia wanted to use the tensor cores which are specially dedicated to Artificial Intelligence and boost both graphic processing power and speed. A well trained artificial intelligent program, Super Sampling technology was used to decide each frame and pixels in the next scene and fill the gaps inside that frame instead of rendering the whole frame with calculations done by GPU.
How DLSS works
Normally inside a game, the GPU has to do super fast calculations in milliseconds to render a frame pixel by pixel and display it on the monitor. It takes a lot of time and if you are using a GPU with the latest design, the calculation speed is pretty much higher that can perform very well in high-resolution gameplays.
Going away from the usual way, Nvidia developed their GPUs to give AI-powered rendering. Nvidia uses their special servers first and gets a full detailed gameplay walkthrough with the best resolution and graphic settings. By using these servers they were able to realize and capture the frames very easily unlikely normal gameplay. Then the complete list of frames, pixels inside that specific frames was given to this AI program and let it compare those high-quality frames with low-resolution frames from the same game and let it fill the missing pixels on that low-resolution frame and render it. Finally, at the end of this comparison, a well trained AI rendering program was
History of DLSS Technology
In the very first RTX 2000 series, this technology was limited to a couple of games like Battlefield V and Metro Exodus because this training programme was quite complexing and it needs a lot of computing power to detect each and every frame inside a game and do this gap-filling process. Moreover that they have to send driver updates to each and every game after designing this to a specific game that makes a bad experience for the users. Because of these problems, It was limited to serveral best selling games.
But with the release of RTX 3000, Nvidia released the next version of the AI-powered rendering: Nvidia DLSS 2.0 changing and fixing the errors caused in the DLSS 1.0 used in the RTX 2000. Have a quick look from here to know the evolutionary history of DLSS.
Difference Between DLSS 1.0 and DLSS 2.0
In DLSS 1.0, this AI training process was done game by game and the updates were sent as GeForce updates. Not only that the DLSS support had to given by the game developers. But in DLSS 2.0 instead of using the games, normal contents were used to train the AI and now the unnecessary driver updating problem was completely fixed. The AI can predict the frames and movements performed by the player inside any game and refill the frame to give maximum resolution without using much calculation power. This can boost the frame rate twice or thrice than the usual rate given normally from a GPU without dropping the quality.
Requirements to Enable DLSS
To Enable DLSS technology the first requirement you need is the RTX graphics card. Enable “NVIDIA RTX” in the Video options menu, select a “Ray Tracing” option in detail level, and enable the “DLSS” feature. Sometimes you might have to restart the game after enabling this. If the DLSS box will automatically turn itself off it means that you are not compatible with this feature. And also the game also should be compatible with this technology to enable it.
Learn more from Nvidia Official Site.