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In March 2025, there were more than 100 games that support DLSS 4, according to Nvidia.<ref>{{Cite web |last=Mujtaba |first=Hassan |date=2025-03-13 |title=NVIDIA DLSS 4 Now In Over 100 Games With More Titles Coming Soon, Neural Shading Support For DirectX Arriving Next Month |url=https://wccftech.com/nvidia-dlss-4-now-in-over-100-games-more-titles-coming-soon-neural-shading-support-directx-next-month/ |access-date=2025-05-20 |website=Wccftech |language=en-US}}</ref> By May 2025, over 125 games supported DLSS 4.<ref>{{Cite web |last=Mujtaba |first=Hassan |date=2025-05-19 |title=NVIDIA DLSS 4 Now Available In Over 125 Games & Apps, DOOM: The Dark Ages Path Tracing Update In June & Even More DLSS Titles |url=https://wccftech.com/nvidia-dlss-4-125-games-doom-the-dark-ages-path-tracing-update-june-more-dlss-titles/ |access-date=2025-05-20 |website=Wccftech |language=en-US}}</ref><ref>{{Cite web |last=Palumbo |first=Alessio |date=2025-05-19 |title=NVIDIA DLSS 4 Multi Frame Generation and Other RTX Updates Shown Off for Upcoming and Existing PC Games |url=https://wccftech.com/nvidia-dlss-4-multi-frame-generation-and-other-rtx-updates-shown-off-for-upcoming-and-existing-pc-games/ |access-date=2025-05-20 |website=Wccftech |language=en-US}}</ref>
The first [[video game console]] to use DLSS, the [[Nintendo Switch 2]], was released on June 5, 2025.<ref>{{Cite news |last=Stuart |first=Keith |date=2025-06-05 |title=The Nintendo Switch 2 is out –
=== Release history ===
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|"1.9" (unofficial name)||August 2019||DLSS 1.0 adapted for running on the CUDA shader cores instead of tensor cores, used for ''[[Control (video game)|Control]]''<ref name="eurogamer"/><ref name="techspot"/><ref name="nividiacontrol">{{cite web |last1=Edelsten |first1=Andrew |title=NVIDIA DLSS: Control and Beyond |url=https://www.nvidia.com/en-us/geforce/news/dlss-control-and-beyond/ |publisher=Nvidia |access-date=11 August 2020 |date=30 August 2019 |quote=Leveraging this AI research, we developed a new image processing algorithm that approximated our AI research model and fit within our performance budget. This image processing approach to DLSS is integrated into Control, and it delivers up to 75% faster frame rates.}}</ref>
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|2.0||April 2020||An AI accelerated form of [[Temporal anti-aliasing|TAA]]U using Tensor Cores, and trained generically<ref name="control2">{{cite web|url=https://www.techquila.co.in/nvidia-dlss-2-control-review/|title=NVIDIA DLSS 2.0 Review with Control – Is This Magic?|work=TechQuila |publisher=techquila.co.in|date=2020-04-05|access-date=2020-04-06}}</ref>
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|3.0
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|Ultra Quality<ref name=":5">{{cite web |title=NVIDIA preparing Ultra Quality mode for DLSS, 2.2.9.0 version spotted |url=https://videocardz.com/newz/nvidia-preparing-ultra-quality-mode-for-dlss-2-2-9-0-version-spotted |access-date=2021-07-06 |website=VideoCardz.com |language=en-US}}</ref><sub> (unused)</sub>
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|Quality
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== Anti-aliasing ==
DLSS requires and applies its own [[anti-aliasing]] method. Thus, depending on the game and quality setting used, using DLSS may improve image quality even over native resolution rendering.<ref>{{Cite web |last=Smith |first=Matthew S. |date=2023-12-28 |title=What Is DLSS and Why Does it Matter for Gaming? |url=https://www.ign.com/articles/what-is-nvidia-dlss-meaning |access-date=2024-06-13 |website=IGN |language=en}}</ref> It operates on similar principles to [[Temporal anti-aliasing|TAA]]. Like TAA, it uses information from past frames to produce the current frame. Unlike TAA, DLSS does not sample every pixel in every frame. Instead, it samples different pixels in different frames and uses pixels sampled in past frames to fill in the unsampled pixels in the current frame. DLSS uses machine learning to combine samples in the current frame and past frames, and it can be thought of as an advanced and superior TAA implementation made possible by the available tensor cores.<ref name="NVIDIA" /> [[Nvidia]] also offers [[Deep Learning Anti-Aliasing]] (DLAA), which provides the same AI-driven anti-aliasing DLSS uses, but without any upscaling or downscaling
== Architecture ==
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The use of DLSS Frame Generation may lead to increased [[input latency]],<ref>{{Cite web |date=2023-11-21 |title=When a high frame rate can lose you the game |url=https://www.digitaltrends.com/computing/when-frames-dont-win-games/ |access-date=2024-07-09 |website=Digital Trends |language=en}}</ref> as well as [[visual artifacts]].<ref>{{Cite web |date=2023-03-08 |title=Nvidia DLSS 3 Revisit: We Try It Out in 9 Games |url=https://www.techspot.com/article/2639-dlss-3-revisit/ |access-date=2024-07-09 |website=TechSpot |language=en-US}}</ref> It has also been criticized that by implementing DLSS in their games, game developers no longer have an incentive to optimize them so that they also run smoothly in native resolution on modern PC hardware. For example, for the game ''[[Alan Wake 2]]'' in [[4K resolution]] at the highest graphics settings with [[Ray tracing (graphics)|ray tracing]] enabled, the use of DLSS in Performance mode is recommended even with graphics cards such as the [[Nvidia GeForce RTX 4080]] in order to achieve 60 fps.<ref>{{Cite web |date=2023-10-26 |title=Alan Wake 2 on PC is an embarrassment of riches |url=https://www.digitaltrends.com/computing/alan-wake-2-pc-performance/ |access-date=2024-07-09 |website=Digital Trends |language=en}}</ref>
The transformer-based AI upscaling model introduced with DLSS 4 received moderate praise for its improved image quality with regard to increased stability, reduced ghosting, better anti-aliasing, and higher level of detail, as well as its backward compatability and higher training scalability regarding future improvements.<ref>{{Cite news |title=NVIDIA DLSS 4 Transformer Review - Better Image Quality for Everyone |url=https://www.techpowerup.com/review/nvidia-dlss-4-transformers-image-quality/ |archive-url=http://web.archive.org/web/20250128024629/https://www.techpowerup.com/review/nvidia-dlss-4-transformers-image-quality/ |archive-date=2025-01-28 |access-date=2025-01-31 |work=TechPowerUp |language=en}}</ref><ref>{{Cite web |last=
== See also ==
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[[Category:Nvidia]]
[[Category:Anti-aliasing algorithms]]
[[Category:Artificial intelligence]]
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