Learn about DLSS 3.0 technology and how it has brought new life to economy class devices
In September 2022, NVIDIA unveiled the new generation of RTX 40 graphics cards, bringing with it a technical revolution that redefines the world of gaming.
The RTX 40 delivers a quantum leap in performance thanks to advanced manufacturing technologies such as 4nm transistors, a massive increase in processing power, and a greater number of CUDA cores.
But the real jewel of the RTX 40 is DLSS 3.0, a revolutionary AI technology that enhances the image and doubles frame rates without compromising on image quality.
In this article, we will dive deeper into DLSS 3.0 technology and answer the following questions:
● What is DLSS 3.0 technology?
● What is DLSS technology and what is its history?
● How does DLSS 3.0 work?
● What are the benefits of using DLSS 3.0 technology?
● Is DLSS 3.0 worth the upgrade to RTX 40?
● How did DLSS 3.0 bring life to economy class devices?
A journey through the history of DLSS technology:
Before delving into DLSS 3.0 technology, it is necessary to learn about the history of the development of DLSS technology (short for Deep Learning Super Sampling):
● DLSS 1.0:
In 2019, DLSS 1.0 was released as the first AI-based technology to improve image quality in games. This technology relied on an artificial neural network to analyze the image and raise its accuracy from a lower resolution without affecting performance.
● DLSS 2.0:
In 2020, DLSS 2.0 technology was released with significant improvements in performance and image quality. This technology relied on an artificial neural network that is smarter and more capable of analyzing the image and increasing its accuracy.
● DLSS 3.0:
In 2023, DLSS 3.0 was released as an unprecedented quantum leap in the field of DLSS technologies. This technology is based on a combination of artificial intelligence technologies, including DLSS 2.0, Optical Multi Frame Generation, 4th generation Tensor Cores, and Optical Flow Accelerator, enabling huge improvements in performance and image quality.
What is DLSS 3.0 technology?
DLSS, short for Deep Learning Super Sampling, is a revolutionary graphics technology that harnesses the power of artificial intelligence to dramatically enhance the gaming experience.
“Super Sampling” refers to anti-aliasing technology that is used to improve video quality by displaying game frames at a higher resolution and then downsampling them, reducing aliasing and improving image quality.
However, displaying frames at high resolution puts a heavy burden on the graphics card, while anti-aliasing features reduce frame rates, makingYour GPU will now need to process more data or pixels and output to your native resolution.
Here comes the role of Deep Learning technology in DLSS 3.0 technology to change the rules of the game.
Instead of processing frames at a higher resolution, DLSS 3.0 technology employs advanced artificial intelligence to predict what frames should look like when displayed at high resolution. Instead of overburdening the graphics card by processing high-resolution frames, DLSS 3.0 technology allows frames to be generated at the original resolution, and then uses cores. Advanced Tensor to predict its shape when viewed at high resolution.
This method significantly reduces the computational burden on the graphics card, allowing:
1. Display your games at higher resolutions without affecting frame rates.
2. Get a smoother and more streamlined gaming experience.
3. Save money by eliminating the need to purchase a new, expensive, high-end graphics card.
How does DLSS 3.0 work?
A simplified explanation of how DLSS technology works in general: DLSS technology relies on an artificial neural network (CNN) that was trained on a huge data set of high-resolution images. This network is used to predict the appearance of the next frames in the game with high accuracy.
Training process:
● Supercomputers: Nvidia has supercomputers that are used to train the neural network. These devices are known as “server farms” and consist of thousands of interconnected computers.
● Game Images: Game images are displayed in low and high resolution on the network. High-resolution images are used as a reference to teach the network how to improve low-resolution images.
● Information about the movement of objects: The network is also trained using information about the movement of objects in the game. This information helps the network predict the location of objects in the next frames.
● The result: The network is able to predict the appearance of the next frames with high accuracy.
Improve image quality and frame speed:
● Neural network information: Neural network information is sent to Nvidia graphics cards. This information is known as “DLSS models.”
● Image processing: Graphic cards use DLSS models to increase image resolution and display them faster. This process is known as “inference.”
● High efficiency: This is achieved without having to process every pixel in the image, reducing power consumption and increasing performance efficiency.
DLSS 3 technology is based on three main components:
Super Resolution: This feature is used to lower the actual display resolution and raise it again using artificial intelligence algorithms. These algorithms fill in the missing color information of pixels based on training data on high-resolution (16k) images.
Quality: Increases the resolution from 67% of the original resolution.
Balanced: Increases the resolution from 59% of the original resolution.
Performance: Increases the resolution from 50% of the original resolution.
Ultra Performance: Increases the resolution from 33% of the original display resolution.
Illustration of 4K Super Resolution settings: – AI Frame Generator: This feature is the core of DLSS 3 technology, and is used to create new frames between the original ones displayed on the screen. This feature helps increase the frame count significantly, resulting in a smoother gaming experience. Frame Generation Features:
1. Noticeably soften the image.
2. Reduce motion blur.
3. Reduce the voltage on the central processor.
4. Reduce response time (Input Lag).
Note: The extra frame does not interact with player instructions.
Reflex technology: An innovation from Nvidia that aims to reduce response time in games, known as “input lag”. This technology is also known as “Nvidia latency reduction system.”
How does Reflex technology work?
Reflex technology improves response time by:
Frame synchronization between the CPU and GPU: The CPU stores frames in a queue for the GPU to use. With Reflex technology, frame transmission and queue abandonment are streamlined, significantly reducing response time.
Reduced frame processing time: Reflex technology improves frame processing efficiency, reducing the time it takes the central processor and graphics processor to process them.
DLSS 3.0 operating requirements:
requirements:
● Graphics card: DLSS 3.0 technology requires an Nvidia RTX 4000 series graphics card or later.
● Operating system: Windows 10 or Windows 11.
● DirectX: DirectX 12.
● Game that supports DLSS 3.0: Not all games support DLSS 3.0 at this time. Make sure that the game you want to play supports this technology.
● comments:
● DLSS 3.0 operating requirements may vary depending on the game.
● Make sure to update the graphics card drivers to the latest version.
● You may need to enable DLSS 3.0 from the game settings.
● DLSS technology works with all RTX cards, but DLSS 3.0 only works with RTX 40 series cards.
Games and applications that support DLSS 3.0 technology:
There are about 55 games that support the technology at the time of publishing the article, and among the most famous of these games are:
● Cyberpunk 2077
● Forza Horizon 5
● Mount & Blade II: Bannerlord
● Dying Light 2 Stay Human
● HITMAN 3
● Portal with RTX
● Black Myth: Wukong -soon Aug 20, 2024
● Fortnite
● Marvel's Guardians of the Galaxy
● Marvel's Spider-Man Remastered
● Red Dead Redemption
● The Witcher 3: Wild Hunt
● Hogwarts Legacy
Game engines that support DLSS 3.0 technology:
● Unity
● Unreal Engine 4 & 5
Disadvantages of using DLSS 3.0:
● May affect image resolution: DLSS 3.0 may cause some image distortion, especially in fast-moving scenes.
● May not be compatible with all games: Not all games support DLSS 3.0 at this time.
● May require a powerful graphics card: DLSS 3.0 technology requires an Nvidia RTX 4000 series graphics card or later.
DLSS technology - the future of gaming
DLSS technology is a revolutionary technology that offers huge potential to improve the gaming experience. This technology allows players to enjoy a smoother and more realistic gaming experience, with increased frames per second and significantly improved image quality.
However, DLSS technology faces some challenges, such as high operating requirements and not being compatible with all games.
Despite these challenges, DLSS is likely to become a key technology in the gaming world in the future.
Here are some reasons that support this opinion:
Continuing Developments: Nvidia continues to develop DLSS technology and continually improve its capabilities.
Growing Demand: DLSS technology is increasingly in demand by gamers looking for a better gaming experience.
Compatibility with new games: DLSS technology becomes more compatible with new games over time.
Low cost: Graphic cards that support DLSS technology are expected to become more expensive over time.
Based on these reasons, DLSS is likely to become an essential technology in the gaming world in the future. This technology will contribute to making games more exciting and interactive, and open the way to new possibilities that were not possible before.
In conclusion, DLSS is a promising technology that offers tremendous potential to improve the gaming experience. With the challenges faced by this technology overcome, DLSS is sure to become an essential technology in the gaming world in the future.
(Share your opinion with us in the comments, and suggest a new topic for us to write about)
Sources:
Official Nvidia website: https://www.nvidia.com/en-us/forums/
Introduction to DLSS technology:
https://www.nvidia.com/en-us/geforce/technologies/dlss/
Technical explanation of the DLSS technology process:
https://www.nvidia.com/en-us/geforce/technologies/dlss/
Comparison between DLSS technology and other technologies:
https://www.youtube.com/watch?v=O5B_dqi_Syc
DLSS technology operating requirements
: https://developer.nvidia.com/rtx/dlss/get-started
List of games that support DLSS: https://www.nvidia.com/en-us/geforce/news/nvidia-rtx-games-engines-apps/
Forums:
Official Nvidia forum:
https://www.nvidia.com/en-us/forums
Reddit forum:https://www.reddit.com/r/nvidia/comments/zf7uqa/now_that_dlss_is_out_in_many_games_what_are_your/
social media sites:
Nvidia Twitter account:
https://twitter.com/nvidia?lang=en
Nvidia YouTube channel:
https://www.youtube.com/channel/UCHuiy8bXnmK5nisYHUd1J5g
(Share your opinion with us in the comments, and suggest a new topic for us to write about)
