NVIDIA: Difference between revisions

[[NVIDIA DLSS]] uses AI and dedicated [[Tensor Core|Tensor Cores]] within RTX GPUs to upscale lower-resolution images to higher resolutions in real-time, significantly improving performance in games and applications without a noticeable loss in visual quality. <ref name="NVIDIADLSS_art3"/> DLSS is particularly beneficial for VR, where maintaining high frame rates (e.g., 90 Hz+) is crucial for a comfortable and immersive experience. By rendering at a lower internal resolution and then using DLSS to upscale, VR applications can achieve higher frame rates, allowing for smoother gameplay and the ability to enable higher graphics settings. <ref name="ISMStudy_art3"/> With the GeForce RTX 50 Series (Blackwell architecture), NVIDIA introduced DLSS 4 Multi Frame Generation, reportedly generating up to three AI frames per rendered frame, aiming to significantly boost VR performance.<ref name="dlss4_art4"/>

| [[NVIDIA RTX 6000 Ada Generation]] (Professional GPU) || High-end performance for professional VR/AR, digital twins, and complex simulations; supports features like quad-GPU setups for ultra-high-resolution displays (e.g., Varjo Quad View). <ref name="varjo_art4"/>

| [[NVIDIA Jetson]] (e.g., Jetson Orin) || System-on-modules for edge AI and robotics, capable of powering standalone AR/VR devices and passthrough AR functionalities. <ref name="TechTargetProducts_art3"/>

| Gaming & Entertainment | Immersive VR gaming with high-fidelity graphics and real-time ray tracing (e.g., powered by GeForce RTX GPUs); virtual concerts and events; location-based VR experiences. <ref name="vrgaming"/> <ref name="eve"/>

| Enterprise        | Remote collaboration in shared virtual spaces (e.g., using Omniverse), virtual meetings, employee training simulations for complex tasks or hazardous environments, virtual showrooms. <ref name="azure"/> <ref name="ISMStudy_art3"/>