NVIDIA Officially Announces DLSS 2.3 (2024)

FAQs

What is the AMD answer to Nvidia DLSS? ›

AMD FSR is a technology from AMD and is primarily available for graphics cards from that manufacturer, but can also be used on certain third-party graphics cards. Nvidia DLSS is a technology from Nvidia and requires an Nvidia graphics card of the Turing or Ampere architecture.

However, when you enable DLSS in balanced mode, the frame rate doubles to 89 fps.

Though, it will take some time for it to appear in a large number of games. The key takeaway is this: DLSS can drastically improve a game's performance and, in some situations, can slightly improve image quality. Given these benefits, DLSS should be used as frequently as possible.

DLSS is an upscaler technology: it lowers rendering resolution but then upscales it to the target resolution. It uses AI model trained specifically for the game which makes this upscaling visually almost indistiguable from the non-upscaled version at target resolution.

Not only does DLSS require AI cores (Nvidia calls them Tensor cores) to operate, which means it's only functional on RTX 2000 and newer GPUs, but it's also locked to Nvidia GeForce GPUs specifically, whereas AMD's upscaling option instead uses open-source tech that can run on any graphics card.

Does DLSS Increase or Decrease FPS? NVIDIA DLSS 3 has the prowess to amplify frame rates by 3-4x in specific titles. But our trials have occasionally noted a reduction in detail or a hike in latency. While DLSS is transformative for FPS, it isn't a universal solution.

If you have a powerful enough CPU, you'll see big FPS improvements (depending on how well DLSS/FSR is implemented), but if you're CPU bottleneck, you can see 0 fps improvements.

DLSS will drop the usage down (in some cases) as its taking the load of the GPU, but can also just increase the FPS whilst still maxing out the GPU. Battlefield hardly uses full GPU anyway as its mainly CPU bound (for majority of players).

DLAA uses machine learning to effectively smooth images and eliminate unsightly “staircase” effects, similar to traditional anti-aliasing technologies. The difference to the already familiar DLSS technique: DLAA does not rely on a change in resolution.

Supercomputer Performance

This means you get the power of the DLSS supercomputer network to help you boost performance and resolution—and it gets even better over time.

Is DLSS noticeable in 1080p? ›

DLSS is far less effective at 1080p compared to 1440p or 4K, because of how upscaling at this resolution uses a very low render resolution. The the DLSS Quality mode renders games at just 720p before upscaling to 1080p, offering limited pixel data for the algorithm to work with.

A: DLSS uses AI, motion vectors, and prior frames to deliver the best image quality and performance. Spatial upscalers use only the current frame and a non-AI algorithm. DLSS is unique in boosting frame rates while maintaining image quality comparable to native resolution.

As mentioned, DLSS Super Resolution works best at a high output resolution. It looks and performs best if you're outputting at 1440p or 4K , and the benefits diminish at a lower resolution like 1080p.

When DLSS is enabled, motion blur's effects are either greatly reduced or completely disabled on objects randomly.

FSR is AMD's answer to Nvidia's Deep Learning Super Sampling (or DLSS), which is now on version 3 which uses frame interpolation to potential double framerates.

DLSS still have better image/upscaling quality, and Nvidia's frame gen tech is still better than AMD's. The advantage the AMD has is that FSR isn't proprietary and isn't locked to certain cards like DLSS is. It's similar to how G-Sync and FreeSync went down.

No it's not. If you look closely in the demo of FidelityFX the quality was substantially low. Not only that but I assume it may run worse on low-end GPUs as they already are scarce on performance. DLSS on the other hand uses onboard NVIDIA Tensor cores.