Items tagged with dlss 2.0
In this episode of HotHardware's Two And A Half Geeks, Marco, Dave, and Chris will be covering AMD's hot, new Ryzen 4000 Mobile platform in the ASUS ROG Zephyrus G14 laptop, id Software's killer and hella-fun Doom Eternal, and NVIDIA's latest DLSS 2.0 release with much better visuals and performance... Show Notes: 03:02 - ASUS ROG Zephyrus G14 Review: AMD Ryzen 4000 Mobile Unleashed 12:54 - AMD Launches Ryzen 4000 Series For Laptops: Zen 2 Mobile Unleashed 17:05 - Doom Eternal: Demon Killing Gameplay And GPU Performance Review 19:50 - Doom Eternal Tips And Tricks For Optimizing Your Hell-Raising Gaming Rig 25:51 - Evaluating NVIDIA DLSS 2.0 Quality And Performance In Mech 5 And Control...
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Back when the GeForce RTX family launched in late 2018, NVIDIA unveiled its Deep Learning Super Sampling anti-aliasing method, which upscales low-resolution images via machine learning on the GPU's Tensor cores. While the technology was promising, there were some drawbacks. First of all, image quality was typically lower than rendering at the target resolution, even when the game was in motion. Also, DLSS required per-game training on the graphics giant's neural network, and as a result adoption wasn't quite as high as NVIDIA would have liked. All that changed this week when the GeForce maker unleashed a new revision of its AI-powered anti-aliasing method, dubbed DLSS 2.0. This time around, implementing...
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NVIDIA made some big promises when it first outed its Deep Learning Super Sampling (DLSS) technology. Through the wonders of artificial intelligence and machine learning, DLSS aimed to make games look better at higher resolutions, and boost framerates without overburdening the GPU. Results were mixed, though, and certain limitations held the technology back. Now with the introduction of DLSS 2.0, NVIDIA is promising even bigger and better things. DLSS 2.0 delivers a "big leap in AI rendering" and breaks free of several existing constraints. The biggest one is game support—DLSS 2.0 has the potential to be more broadly supported in games because, unlike before, it does not require training...
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