February 1, 2023


Technology/Tech News – Get all the latest news on Technology, Gadgets with reviews, prices, features, highlights and specificatio

How do editors judge the blind test?

From Manuel Crista
With DLSS 3.0, the graphics card cannot render more frames per second just because of the lower resolution. Artificial intelligence also inserts additional images, thereby doubling the frame rate. But the technology still has its own emerging problems, which we also discovered in testing the new lift technology. In the next video, we let not only the graphics bartenders test it out, but also the unbiased gamers in the editing department. Can DLSS 3.0 convince with the framework also created in blind testing?

When Nvidia announced the Ada Lovelace architecture, it also confirmed that DLSS 3.0 would be a huge leap over DLSS 2.0. The performance gains looked promising at first glance. However, due to some “technical” and “hardware” characteristics, DLSS 3.0 is exclusive to Ada Lovelace. This excludes Ampere and Turing users from using the new DLSS 3.0 framesetting technology.

Recommended editorial contentHere you will find external content from [PLATTFORM]. To protect your personal data, external integrations are only displayed if you confirm this by clicking “Load all external content”:I agree to display external content to me. The personal data is thus transferred to third party platforms. Read more about our privacy policy.

What is DLSS3?

In principle, DLSS 3 also uses the same upgrade concept as previous versions. It allows gamers to increase frame rate and maintain high resolutions without sacrificing graphics quality. There are different gradations for individual selection of the compromise between graphics quality and frame rate.

See also  Stable or modern Linux distributions: which one to choose?

However, DLSS 3 has advanced the technology and offers up to four times the performance of its previous display. DLSS 3 is used exclusively by Lovelace’s new technology, which takes advantage of fourth-generation tensor cores and an optical flow accelerator to deliver a new capability called multi-frame optical generation. Multi-frame optical generation can create completely new images in place of pixels. This helps reduce visual aberrations when the AI ​​needs to present complex elements such as lighting, reflections, or dust particles.

These frames are then passed through a neural network, which analyzes the data and creates a new frame for each frame that is displayed within the game. By combining DLSS-generated frames with DLSS Super Resolution frames, AI can create new pixels, resulting in up to four times more frames compared to a game without DLSS.