G-Assist offers diagnostics, performance metrics, and recommendations, including frame rates and GPU temperatures, while also controlling lighting for compatible peripherals.

This development reflects a broader trend among tech companies to integrate AI systems into their platforms to streamline user experiences.

The latest update introduces features such as DLSS Override, Display Scaling, and Display Color Settings, enhancing user control over gaming visuals.

G-Assist leverages RTX graphics cards' Tensor Cores to optimize games, control hardware, and perform diagnostics, further enhancing the gaming experience.

Utilizing a small language model, G-Assist is not a general conversational AI, but it allows developers to extend its capabilities through plug-ins.

Initial sample plugins for G-Assist include controls for Spotify and Google Gemini, enabling hands-free music control and advanced conversational capabilities.

While G-Assist enhances user experience, Nvidia warns that users may experience temporary performance dips during demanding applications due to GPU resource allocation.

Nvidia has launched its G-Assist AI assistant, now available on the Nvidia app for GeForce RTX desktop users, aimed at optimizing gaming PC settings.

To utilize G-Assist, users must have an Nvidia RTX 30, 40, or 50 series GPU with a minimum of 12GB of VRAM, excluding lower-end models.

The assistant requires nearly 10GB of storage space, with approximately 6.5GB for the System Assistant and 3GB for Voice Commands.

Users can interact with G-Assist via voice or text prompts, making it user-friendly for both novice and experienced gamers.

G-Assist also supports plugins for various peripherals, allowing users to control fan speeds, lighting, and other settings through voice or text commands.