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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 GPU-Optimized AMI?

The NVIDIA GPU-Optimized AMI is a specialized virtual machine image crafted to optimize performance for GPU-accelerated tasks in fields such as Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). With this AMI, users can swiftly set up a GPU-accelerated EC2 virtual machine instance, which comes equipped with a pre-configured Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, making the setup process efficient and quick. This AMI also facilitates easy access to the NVIDIA NGC Catalog, a comprehensive resource for GPU-optimized software, which allows users to seamlessly pull and utilize performance-optimized, vetted, and NVIDIA-certified Docker containers. The NGC catalog provides free access to a wide array of containerized applications tailored for AI, Data Science, and HPC, in addition to pre-trained models, AI SDKs, and numerous other tools, empowering data scientists, developers, and researchers to focus on developing and deploying cutting-edge solutions. Furthermore, the GPU-optimized AMI is offered at no cost, with an additional option for users to acquire enterprise support through NVIDIA AI Enterprise services. For more information regarding support options associated with this AMI, please consult the 'Support Information' section below. Ultimately, using this AMI not only simplifies the setup of computational resources but also enhances overall productivity for projects demanding substantial processing power, thereby significantly accelerating the innovation cycle in these domains.

Media

Media

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Gaia
Gemini
Logitech Capture
NVIDIA NGC
OpenLIT

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Gaia
Gemini
Logitech Capture
NVIDIA NGC
OpenLIT

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$3.06 per hour
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

HPC

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