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What is Project G-Assist?

NVIDIA has launched Project G-Assist, an innovative AI assistant designed to enhance the gaming experience for GeForce RTX users by providing system optimizations, real-time diagnostics, and customizable peripheral controls through simple voice or text commands. Integrated into the NVIDIA app, G-Assist automatically adjusts game settings for optimal performance or visual fidelity, monitors and showcases key performance metrics like frame rates and system latency, and manages lighting effects on compatible devices from brands such as Logitech, Corsair, MSI, and Nanoleaf. Leveraging a locally-based Small Language Model (SLM), G-Assist ensures swift responses and operates efficiently without needing an internet connection. Users can easily engage G-Assist via the NVIDIA app overlay or by pressing Alt+G, utilizing the GeForce RTX GPU for AI inference tasks. Furthermore, developers and tech aficionados can expand G-Assist's capabilities through a community-driven plugin framework, which offers extensive resources and example plugins for inspiration. This progressive strategy not only empowers gamers but also cultivates a collaborative ecosystem for the continuous enhancement of the gaming experience, encouraging a shared journey of innovation and creativity in the gaming community.

What is NVIDIA DLSS?

NVIDIA's Deep Learning Super Sampling (DLSS) stands as a leading-edge suite of AI-driven rendering technologies designed to enhance both the performance of gaming and the quality of visuals. By utilizing the power of GeForce RTX Tensor Cores, DLSS significantly boosts frame rates while delivering sharp, high-resolution visuals that rival native quality. The latest iteration, DLSS 4, introduces a range of groundbreaking features. It harnesses AI to generate up to three additional frames for every single frame rendered through traditional methods, potentially increasing performance by up to eight times relative to conventional rendering techniques, all while maintaining low latency thanks to NVIDIA Reflex. Furthermore, it replaces traditional, manually tuned denoisers with an AI-trained network, resulting in enhanced pixel quality in ray-traced settings. This enhancement produces improved lighting effects and more accurate reflections. Additionally, it employs AI to upscale visuals from lower resolutions to higher ones without sacrificing clarity or detail. With the launch of a new transformer-based AI model, stability between frames sees a remarkable boost, resulting in an even more fluid gaming experience. This impressive array of advancements not only underscores NVIDIA's dedication to advancing gaming technology but also sets a new standard for visual fidelity in the gaming industry.

Media

Media

Integrations Supported

Gemini
Gemini Enterprise
Logitech Capture
NVIDIA Reflex
Unity
Unreal Engine

Integrations Supported

Gemini
Gemini Enterprise
Logitech Capture
NVIDIA Reflex
Unity
Unreal Engine

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/software/nvidia-app/g-assist/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/rtx/dlss

Categories and Features

Categories and Features

Game Development

2D
3D
Analytics
Animation
Asset Management
Drag & Drop
IT Asset Management
Network Management
Physics
Player Management
Prototyping
Virtual Reality
eCommerce

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