NVIDIA’s DLSS 3.8.10 Package Reduces Preset Modes To Just Two Profiles, Drastically Reducing DLL File Size

Nov 13, 2024 at 12:40pm EST
NVIDIA's DLSS 3.8.10 Package Reduces Preset Modes To Just Two Profiles, Drastically Reducing DLL File Size 1

NVIDIA's newest DLSS 3.8.10 package has reportedly trimmed down the number of preset profiles, all the way from four different profiles to just two now.

NVIDIA's Latest DLSS 3.8.10 Update Focuses On Providing Optimal Preset Profiles For The Best User Experience

NVIDIA's latest GPU driver update, GeForce 566.14, apparently came with a new DLSS 3.8.10 package that included rather surprising changes (via Reddit). For those unaware, NVIDIA's DLSS comes with standalone profiles that are tuned depending upon user preferences, and in-game support as well.  However, in the latest update, NVIDIA has reduced the available profile options from a total of four (A, B, C, D) to now just two (E, F) in an attempt to reduce the size of the DLL file, and provide a more optimized experience for users.

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With the new update, NVIDIA has made Preset E and Preset F the only options for users. Preset E deals with Performance, Balanced, and Quality modes, and was originally introduced with DLSS 3.7.0, while Preset F is responsible for Ultra Performance and DLAA modes. With this move, not only did NVIDIA eliminate redundancy in preset modes, but by essentially halving the options available, they managed to reduce the size of the DLL file by almost 50%.

Image Credits: Reddit via leguama

The new NVIDIA DLSS 3.8.10 package will not significantly affect DLSS's overall performance, but with the reduced preset modes, experts will not have many options to tweak their systems.

News Source: Videocardz

About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.

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