GeForce NOW

​NVIDIA's Project G-Assist is an AI assistant designed to enhance the gaming experience for GeForce RTX users by providing system optimization, real-time diagnostics, and peripheral customization through simple voice or text commands. Integrated within the NVIDIA app, G-Assist can adjust game settings for optimal performance or image quality, monitor and chart key performance metrics like frame rates and system latency, and manage lighting effects on compatible devices from brands such as Logitech, Corsair, MSI, and Nanoleaf. By leveraging a locally run Small Language Model (SLM), G-Assist ensures responsive and offline operation without the need for cloud connectivity. Users can activate G-Assist via the NVIDIA app overlay or by pressing Alt+G, and it utilizes the GeForce RTX GPU to perform AI inference tasks. Developers and enthusiasts can extend G-Assist's capabilities through a community-driven plugin architecture, with resources and sample plugins available.

NVIDIA's Deep Learning Super Sampling (DLSS) is an advanced suite of AI-driven rendering technologies designed to enhance gaming performance and visual fidelity. Leveraging the power of GeForce RTX Tensor Cores, DLSS boosts frame rates while delivering sharp, high-quality images that rival native resolutions. The latest iteration, DLSS 4, introduces several key features. Utilizing AI, this feature generates up to three additional frames for every traditionally rendered frame, significantly increasing performance, up to 8x over conventional rendering methods, while maintaining responsiveness with NVIDIA Reflex. Replaces traditional, hand-tuned denoisers with an AI-trained network, producing higher-quality pixels in ray-traced scenes. This results in enhanced lighting detail and more accurate reflections. Employs AI to upscale lower-resolution images to higher resolutions, preserving image clarity and detail. The new transformer-based AI model enhances stability between frames.