What is dlss
Last updated: April 1, 2026
Key Facts
- DLSS uses artificial intelligence to intelligently upscale game images from lower to higher resolutions
- Provides significant performance improvements while maintaining or improving visual quality compared to native rendering
- DLSS 3 introduced Frame Generation, using AI to create entirely new frames between traditionally rendered frames
- Requires NVIDIA RTX graphics cards with dedicated AI processing cores called Tensor cores
- Supported by hundreds of modern games including Cyberpunk 2077, Portal RTX, Alan Wake 2, and Starfield
What is DLSS?
DLSS stands for Deep Learning Super Sampling, NVIDIA's groundbreaking technology that uses artificial intelligence to enhance gaming performance. Instead of rendering games at the target resolution, DLSS renders at a lower resolution and uses trained neural networks to intelligently upscale the image to the desired resolution. This approach delivers impressive performance gains while maintaining or even improving visual fidelity compared to traditional rendering methods.
How DLSS Works
The technology leverages machine learning models trained on thousands of game images to understand how to upscale lower-resolution images intelligently. Rather than simple pixel interpolation, DLSS analyzes image content, motion, and temporal information to reconstruct details and edges. This results in visuals that often appear sharper and clearer than native resolution rendering, with significantly higher frame rates.
DLSS Versions and Evolution
NVIDIA has released multiple DLSS versions with increasing capabilities. DLSS 1 was the original technology, DLSS 2 dramatically improved quality and compatibility across games, and DLSS 3 introduced Frame Generation—using AI to create entirely new frames between traditionally rendered frames. Each iteration has brought improvements in image quality, performance gains, and broader game support.
Frame Generation Technology
DLSS 3's Frame Generation represents a major advancement where AI doesn't just upscale—it generates new frames between rendered frames. This can theoretically double frame rates. The technology analyzes motion vectors and rendered frames to create convincing intermediate frames, enabling gameplay at 120+ FPS on high-end hardware.
Hardware Requirements and Compatibility
DLSS requires NVIDIA RTX graphics cards with Tensor cores capable of running neural networks efficiently. Older GTX cards cannot use DLSS. DLSS 3 and Frame Generation specifically require RTX 40-series cards (Ada architecture). Hundreds of modern games now support DLSS, from competitive shooters to AAA titles, making it a crucial technology for modern gaming.
Related Questions
Is DLSS better than FSR or native resolution gaming?
DLSS generally provides superior image quality compared to FSR (AMD's alternative) due to better AI training, though both improve performance. Native resolution offers best fidelity but lower performance. DLSS represents the best balance for most gamers.
Does DLSS cause input lag or stuttering?
DLSS itself doesn't cause input lag, but Frame Generation can introduce minimal latency. Most gamers find the performance gains worth the negligible input lag increase. NVIDIA provides settings to minimize latency for competitive gaming.
What graphics settings should I use with DLSS enabled?
With DLSS enabled, you can increase other graphics settings like ray tracing quality, draw distance, and texture resolution. Most gamers set ultra quality settings with DLSS to achieve frame rates higher than native balanced settings.
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Sources
- Wikipedia - DLSSCC-BY-SA-4.0
- NVIDIA - DLSS OfficialProprietary
- NVIDIA - DLSS 3 GuideProprietary