NVIDIA's deep learning super sampling (DLSS) has undergone many iterations to the current version 4 with the transformer model, delivering new technologies such as DLSS Multi Frame Generation, predicting multiple frames in advance to generate the upcoming frame, and increasing the frame output per second. However, not every NVIDIA GPU generation supports these more modern DLSS technologies. In an interview with Digital Foundry, Bryan Catanzaro, VP of Applied Deep Learning Research at NVIDIA, commented on trickling down some DLSS technologies to older GPU generations. For example, DLSS Ray Reconstruction, Super Resolution, and Deep Learning Anti-Aliasing (DLAA) work on NVIDIA GeForce RTX 20/30/40/50 series GPUs. However, the RTX 40 series carries an exclusive DLSS Frame Generation, and the newest RTX 50 series carries the DLSS Multi Frame Generation as an exclusive feature.

However, there is hope for older hardware. "I think this is primarily a question of optimization and also engineering and then the ultimate user experience. We're launching this Frame Generation, the best Multi Frame Generation technology, with the 50 Series, and we'll see what we're able to squeeze out of older hardware in the future." So, frame generation will most likely arrive on the older RTX 30 series, with even a slight possibility of the RTX 20 series getting the DLSS frame generation. Due to compute budget constraints, the multi-frame generation will most likely stay an RTX 50 series exclusive as it has more raw computing power to handle this technology.

NVIDIA DLSS 3 is a neural graphics technology that multiplies performance using AI image reconstruction and frame generation. It's a combination of three core innovations:

• Super Resolution uses deep learning algorithms to upscale a lower-resolution input into a higher-resolution output, creating a sharp image with a boosted frame rate.
• Frame Generation uses AI rendering to generate entirely new frames with best-in-class quality and responsiveness.
• NVIDIA Reflex is a low-latency technology that minimizes input lag by synchronizing the CPU and the GPU for optimal responsiveness.

Some time ago, NVIDIA launched its Deep Learning Super Sampling (DLSS) technology to deliver AI-enhanced upscaling images to your favorite AAA titles. It uses proprietary algorithms developed by NVIDIA and relies on the computational power of Tensor cores found in GeForce graphics cards. In the early days of DLSS, NVIDIA talked about an additional technology called DLSS2X, which was supposed to be based on the same underlying techniques as DLSS, however, just to do image sharpening and not any upscaling. That technology got its official name today: Deep Learning Anti-Aliasing or DLAA shortly.

DLAA uses technology similar to DLSS, and it aims to bring NVIDIA's image-sharpening tech to video games. It aims to use the Tensor cores found in GeForce graphics cards, and provide much better visual quality, without sacrificing the performance, as it runs on dedicated cores. It is said that the technology will be offered alongside DLSS and other additional anti-aliasing technologies in in-game settings. The first game to support it is The Elder Scrolls Online, which now has it in the public beta test server, and will be available to the general public later on.