Concluding their Gamescom festivities for their newly-introduced GeForce RTX 20-series, NVIDIA has revealed a bit more about the hardware, its features, and its expected performance this evening. Tonight NVIDIA is announcing the new Ansel RTX features in GeForce Experience, as well as some game performance metrics for the GeForce RTX 2080 up against the GeForce GTX 1080. After recent hands-on demos featuring real-time raytracing, NVIDIA is offering some numbers for out-of-the-box and Deep Learning Super Sampling (DLSS) performance in traditionally rendered games.
Starting with NVIDIA’s DLSS – and real-time raytracing for that matter – we already know of the supported games list. What they are disclosing today are some face-value 4K performance comparisons and results. For DLSS, for now we can only say that it uses tensor core-accelerated neural network inferencing to generate what NVIDIA is saying will be high-quality super sampling-like anti aliasing. Though for further technical information, this is a project NVIDIA has been working on for a while, and they have published some blogs and papers with some more information on some of the processes used. At any rate, the provided metrics are sparse on settings or details, and notably measurements include several games rendered in HDR (though HDR shouldn’t have a performance impact).
Otherwise, NVIDIA presented a non-interactive Epic Infiltrator 4K demo that was later displayed on the floor, comparing Temporal Anti Aliasing (TAA) to DLSS, where the latter provided on-average near-identical-or-better image quality but at a lower performance cost. In this case, directly improving framerates. To be perfectly honest, I spent the entire floor time talking with NVIDIA engineers and driver/software developers, so I have no pictures of the floor demo (not that anything less than a direct screenshot will really do it justice). Ultimately, the matter of DLSS is somewhat nuanced and there isn’t much we can add at the moment.