GPU talk: what is a DLSS and FSR?

Jan 26

In the world of gaming and high-end graphics, performance and visual quality are key factors. Two of the most talked-about technologies that help achieve both are DLSS (Deep Learning Super Sampling) and FSR (FidelityFX Super Resolution). These upscaling techniques allow games to run at higher frame rates while maintaining impressive visual fidelity. But how do they work, and which one is better for your setup? Let’s dive in.

What is DLSS?

DLSS (Deep Learning Super Sampling) is a proprietary upscaling technology developed by NVIDIA. It utilizes artificial intelligence and machine learning to upscale lower-resolution images to higher resolutions, providing better performance without significant loss in image quality.

How DLSS Works

DLSS leverages AI-powered neural networks trained on high-resolution image data.
It uses dedicated Tensor Cores available in NVIDIA’s RTX GPUs to perform complex calculations.
Games are rendered at a lower resolution and then upscaled using AI algorithms to enhance details and sharpness.
DLSS 3, the latest iteration, introduces frame generation, creating entirely new frames to further improve perceived smoothness.

Benefits of DLSS

Higher Frame Rates: Rendering at a lower resolution reduces GPU workload.
Improved Image Quality: AI-based techniques help in preserving details and reducing artifacts.
Exclusive to RTX GPUs: Only works on NVIDIA RTX graphics cards, leveraging their specialized hardware.

What is FSR?

FSR (FidelityFX Super Resolution) is an open-source upscaling technology developed by AMD. Unlike DLSS, it doesn’t rely on AI but instead uses spatial upscaling algorithms to enhance the visual quality of games.

How FSR Works

FSR uses spatial upscaling to improve image sharpness by analyzing and enhancing edges.
It works through software-based optimizations and does not require dedicated hardware like Tensor Cores.
FSR 2.0 and later versions introduce temporal upscaling, which considers previous frames for better detail reconstruction.
It is compatible with a broad range of GPUs, including AMD, NVIDIA, and Intel hardware.

Benefits of FSR

Wider Compatibility: Works on most GPUs, regardless of the manufacturer.
Open-Source: Easily integrated by developers across different platforms.
Decent Performance Boost: Although not as advanced as DLSS, FSR offers a significant performance improvement.

DLSS vs. FSR: A Comparison

FeatureDLSS (NVIDIA)FSR (AMD)Upscaling MethodAI-based (Deep Learning)Spatial and TemporalHardwareNVIDIA RTX GPUs (Tensor Cores)Any GPU (AMD, NVIDIA, Intel)PerformanceHigher performance boostModerate performance boostVisual QualityGenerally superior (less blur)Slightly lower sharpnessAvailabilityLimited to RTX series GPUsWorks on most GPUs

Which One Should You Choose?

The choice between DLSS and FSR largely depends on your hardware and gaming preferences:

If you own an NVIDIA RTX GPU, DLSS is the superior choice due to its AI-driven capabilities and better visual quality.
If you have an AMD GPU or older hardware, FSR is an excellent alternative as it is widely compatible and offers significant performance gains.

Conclusion

Both DLSS and FSR are incredible technologies that have revolutionized the gaming industry by enabling high-quality visuals with improved performance. Whether you prefer the AI-powered approach of DLSS or the more accessible and open-source nature of FSR, both options provide valuable tools for gamers and developers alike.

Marlon Pun