New gaming experience by NVIDIA: Battlefield V in 4K at 60fps with real-time ray-tracing and DLSS enabled
Battlefield V, the well-known first-person shooter developed by Digital Illusions Creative Entertainment (DICE) and published by Electronic Arts on November 20th 2018, is now capable to use principal and innovative hardware features owned by new NVIDIA GeForce RTX 20-Series GPUs.
According to NVIDIA, new graphics techonologies of GPUs GeForce RTX 20-Series are changing both the way games are developed and how gamers experience them. A concrete demonstration of this ambitious concept is represented by video posted on Youtube.
According to its title - "Sniping with RTX ON! Battlefield 5 4K60fps" - this video shows off gameplay footage scenes from Battlefield V while the game, that is based on Frostbite Engine 3, runs with real-time ray tracing enabled with DLSS.
In this footage Battlefield V is set with 4K graphics resolution and gives a 60fps frame rate using a video card NVIDIA GeForce RTX 20-Series (maybe a GeForce RTX 2080 Ti).
Battlefield V was the first title to support real-time ray-traced reflections and then added support for DLSS: this new feature promises to give a
performance boost of up to 40 percent when ray-tracing reflections are enabled.
Real-time ray tracing tracks each photon of light as it moves through a scene before dissipating. This tecnique allows scenes to be rendered with
photographic-levels of fidelity, rendering physically accurate shadows, reflections, refractions and global illumination.
But, of course, the complexity of ray tracing algorithms can be also a strong limit for the game performance, and expecially when graphics
resolution arises up to 4K and game's graphics settinga are high or very high.
In this scenario a fundamental role is played by Deep Learning Super Sampling (DLSS): infact, using the power of deep learning and AI, DLSS allows
to boost frame rate, and so the gaming experience, while you are enjoying next generation graphics with "ray-traced image quality".
On hardware side, GeForce RTX GPUs use Tensor cores to execute computations related to deep learning and AI, as well as RT cores to manage real-time ray tracing workloads.