“When your GPU’s frame rendering time is shorter than what it takes to execute the DLSS model, we don’t enable DLSS. You can crank up your settings to maximize your FPS gains. However, if the game is already taxing the GPU heavily, DLSS provides an optimal performance boost. Indeed, in some cases, it would drag down rendering times, thereby affecting gameplay. In such cases, DLSS is not available because it would not improve your frame rate. If your game is already running at high frame rates, the GPU’s frame rendering time may be shorter than the DLSS execution time. That’s because sometimes, it is just faster and qualitatively better to use the native, non-AI technology to render frames. However, it is not available under all conditions and at all resolutions. The results of DLSS vary from one game to another because each game has different characteristics based on the game engine and the time spent on training the AI model. Why is DLSS Not Available for All Resolutions? It is thanks to the new technology, which offers a general solution, so the AI model doesn’t need to train for each game separately. That improves frame rates and removes restrictions on supported GPUs, settings, and resolutions. With DLSS 2.0 in the RTX 30-series cards, the newer and faster AI model more efficiently uses Tensor Cores to execute 2x faster than the original. Advanced temporal feedback techniques give you sharper images, finer details, and improved stability from frame to frame.ĭLSS in action in Wolfenstein: YoungbloodĭLSS runs on dedicated Tensor Cores, pushing up frame rates and providing the headroom needed to maximize graphics settings and resolution, even up to a whopping 8K. In fact, the company also says that the technology is even capable of producing ‘better image resolution’ while only conventionally rendering a fraction of the pixels. The AI algorithm then intelligently ‘learns’ about a game as you play and gets better with time.Īdvantages of DLSS: How Does DLSS Improve Gameplay?ĭLSS uses advanced AI rendering to produce image quality that Nvidia claims is comparable to native resolution.
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Combining both of these techniques enables the GPU to render the game in full resolution at higher FPS. That helps increase the resolution of the input. Then, the process is repeated to train the AI model to generate additional pixels rather than simply applying anti-aliasing to frames. These paired frames (aliased and perfect) are then fed to a computer, which trains the DLSS model to recognize aliased inputs and generate high-quality anti-aliased images that match the ‘perfect frame’ as closely as possible. It then generates a matching ‘perfect frame’ using either super-sampling or accumulation rendering. To put DLSS into action, the AI algorithm first extracts many aliased frames from the target game. According to the company, “DLSS taps into the power of a deep learning neural network to boost frame rates and generate beautiful, sharp images for your games.” How Does DLSS Work? On its website, Nvidia describes DLSS as a “groundbreaking AI rendering technology that increases graphics performance using dedicated Tensor Core AI processors on GeForce RTX GPUs”. With DLSS turned on, gamers can use high graphics settings and higher resolutions while still maintaining impressive framerates. The technology leverages the power of AI to improve in-game FPS with graphically intensive workloads. Nvidia DLSS Supported Graphics Cards (GPUs)ĪMD's DLSS Equivalent: What Do We Know About FSR?ĭLSS (Deep Learning Super Sampling) is Nvidia’s AI-based upscaling algorithm that uses dedicated Tensor Cores on RTX cards to boost frame rates without affecting image quality. What is Ray Tracing and How is it Related to DLSS Why Is DLSS Not Available for All Resolutions?
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