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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 Holoscan?

The NVIDIA® Holoscan platform serves as a highly adaptable AI computing solution, offering a robust infrastructure designed for the accelerated and real-time processing of streaming data, whether at the edge or within cloud environments. With capabilities for video capture and data acquisition through support for serial interfaces and a variety of front-end sensors, it proves valuable for applications like ultrasound research and the integration of legacy medical devices. Users can take advantage of the data transfer latency tool included in the NVIDIA Holoscan SDK, which provides precise insights into the end-to-end latency linked to video processing tasks. Furthermore, the platform includes AI reference pipelines tailored for various applications such as radar, high-energy light sources, endoscopy, and ultrasound, thereby addressing a wide spectrum of streaming video requirements. Equipped with specialized libraries, NVIDIA Holoscan enhances network connectivity, data processing efficiency, and AI features, while also offering practical examples to assist developers in crafting and deploying low-latency data-streaming applications using C++, Python, or Graph Composer. This powerful toolset allows users to achieve seamless integration, ensuring optimal performance across multiple domains while fostering innovation in their respective fields. Overall, NVIDIA Holoscan stands out as a comprehensive solution that meets the diverse demands of modern data processing and AI applications.

Media

Media

Integrations Supported

Gemini
Gemini Enterprise
Logitech Capture

Integrations Supported

C++
NVIDIA Clara
Python

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

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/holoscan-sdk

Categories and Features

AI Tools

Not specified

System Utilities

Not specified

Categories and Features

Ultrasound

Not specified

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