Since Nvidia has added special seeds to the graphics cards for artificial intelligence, it has been continuing to announce machine learning -based technologies. The last example of this was the DLSS 4.0 and the “Transformer” model introduced within the scope of CES 2025. However, the developments seem to be limited to this. Now the RTX video Super Resolution feature is updated with a new AI model.

Nvidia RTX Video Super Resolution is renewing

Developed to improve the resolution and image quality of the videos for the kidnappers, the RTX video Super Resolution is powered by the tensor seeds on Nvidia graphics cards. At this point, the feature of Nvidia drivers’ video> video image settings, supported applications and browsers come with four different quality settings between 1-4. However, especially the last quality setting requires more GPU sources.

Even when it first released, it was shared that it caused power consumption between 70W and 240W depending on the video profile. Now Nvidia brings solutions to these problems. Within the scope of the new update, RSR will be updated with an improved AI model that provides 30 %power efficiency. In addition, Nvidia says it will offer users a new “automatic” quality setting.

Another development is that VSR now supports HDR videos. So if you watch a HDR video under your monitor resolution in your browser, the content will automatically upgrade to local resolution. The shared update notes for the application are as follows:

• In the new NVIDIA application update, the VSR was updated to a more efficient artificial intelligence model, and the highest quality setting was allowed to activate more GeForce RTX GPU using less GPU sources up to 30 %.
• VSR is now raising the video of HDR, so if you watch a HDR video below the resolution of your monitor in your browser, it will automatically upgrade to your local panel resolution.
• When the quality is set to “automatic”, a GPU usage feature has been added for RTX video. Adjusting your GPU usage to “high, and will use GPU as needed to provide the best quality super resolution of your GPU.
• Setting GPU usage to lower levels will devote more GPUs to games or creative applications by applying lower quality settings. Or, as an alternative, switch to manual mode and always set a fixed quality level to use.