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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 Confidential Computing?

NVIDIA Confidential Computing provides robust protection for data during active processing, ensuring that AI models and workloads are secure while executing by leveraging hardware-based trusted execution environments found in NVIDIA Hopper and Blackwell architectures, along with compatible systems. This cutting-edge technology enables businesses to conduct AI training and inference effortlessly, whether it’s on-premises, in the cloud, or at edge sites, without the need for alterations to the model's code, all while safeguarding the confidentiality and integrity of their data and models. Key features include a zero-trust isolation mechanism that effectively separates workloads from the host operating system or hypervisor, device attestation that ensures only authorized NVIDIA hardware is executing the tasks, and extensive compatibility with shared or remote infrastructures, making it suitable for independent software vendors, enterprises, and multi-tenant environments. By securing sensitive AI models, inputs, weights, and inference operations, NVIDIA Confidential Computing allows for the execution of high-performance AI applications without compromising on security or efficiency. This capability not only enhances operational performance but also empowers organizations to confidently pursue innovation, with the assurance that their proprietary information will remain protected throughout all stages of the operational lifecycle. As a result, businesses can focus on advancing their AI strategies without the constant worry of potential security breaches.

Media

Media

Integrations Supported

Gemini
Gemini Enterprise
Logitech Capture

Integrations Supported

Azure Confidential Computing
Blackwell Security
Google Cloud Platform

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online 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

www.nvidia.com/en-us/data-center/solutions/confidential-computing/

Categories and Features

AI Tools

Not specified

System Utilities

Not specified

Categories and Features

AI Infrastructure

Not specified

Cloud GPU

Not specified

Confidential AI

Not specified

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