News - Nintendo Switch 2: Nvidia DLSS and AI features are on board

Since the presentation of the Nintendo Switch 2, every small detail has been carefully examined. Now Nvidia has given a small statement to the interior of the console.

The presentation of the Nintendo Switch 2 has left some questions that are now gradually clarified and not everything has been solved to the satisfaction of the gamers. It was basically expected that the console for the launch does not have an OLED display. ThatOn the other hand, disappointed on board.

A lot was said for the performance at least with regard to individual titles. Now Nvidia also has oneStatementSubmitted as far as the interior of the console is concerned. No exact specifications are named, but at least there is a little more clarity in terms of possible features.

Accordingly, as expected, there is a custom chip in the console, which was specially developed by Nvidia for the Switch 2. Together with the development of APIs and tools, there should be an effort over "1,000 years of engineering". The Custom Chip enables 4K gaming in TV mode and 120fPS in 1080p handheld mode. Overall, the console should deliver 10 times the performance of the old Switch.

It is more important, however, that Nvidia has brought in in -house technologies and features. The Switch 2, as well as the graphics cards, should have tensor Cores, enable real-time ray tracing and thus improved lighting, shadow and reflections. Tensor Cores are also on board to allow AI features to improve graphics and performance. According to the NVIDIA DLSS-upscaling, the Switch 2 will make it possible to ensure higher frame rate without loss of image quality.

Faceracking and the removal of backgrounds on the video chat are also controlled via AI. At the same time, the tensor Cores with AI should ensure the highest possible efficiency of energy consumption. Another feature is Nvidia G-Sync, which allows variable refresh rates without tearing in handheld mode. NVIDIA also supports developers Mattels Game Engines, Physics and Optimized APIs.