Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Amazon EC2 G4 instances are specifically designed to enhance the performance of machine learning inference and applications that require high graphics capabilities. Users can select between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) according to their requirements. The G4dn instances combine NVIDIA T4 GPUs with bespoke Intel Cascade Lake CPUs, ensuring an optimal mix of computational power, memory, and networking bandwidth. These instances are well-suited for tasks such as deploying machine learning models, video transcoding, game streaming, and rendering graphics. On the other hand, G4ad instances, equipped with AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, offer a budget-friendly option for handling graphics-intensive workloads. Both instance types utilize Amazon Elastic Inference, which permits users to add economical GPU-powered inference acceleration to Amazon EC2, thereby lowering costs associated with deep learning inference. They come in a range of sizes tailored to meet diverse performance demands and seamlessly integrate with various AWS services, including Amazon SageMaker, Amazon ECS, and Amazon EKS. Additionally, this versatility makes G4 instances an attractive choice for organizations looking to leverage cloud-based machine learning and graphics processing capabilities.

Description

NVIDIA has introduced Project G-Assist, a revolutionary AI assistant aimed at improving the gaming experience for GeForce RTX users by offering system optimizations, real-time diagnostics, and customizable peripherals through straightforward voice or text commands. This feature is embedded within the NVIDIA app, allowing G-Assist to automatically modify game settings for the best performance or visual quality, track and display essential performance metrics such as frame rates and system latency, and control lighting effects on compatible devices from manufacturers like Logitech, Corsair, MSI, and Nanoleaf. Utilizing a locally operated Small Language Model (SLM), G-Assist guarantees quick responsiveness and functions without requiring an internet connection. Users can easily activate G-Assist either through the NVIDIA app overlay or by pressing Alt+G, leveraging the GeForce RTX GPU to carry out AI inference tasks. Additionally, developers and tech enthusiasts have the opportunity to enhance G-Assist's functionality via a community-focused plugin architecture, providing ample resources and example plugins for inspiration. This innovative approach not only empowers users but also fosters a collaborative environment for ongoing development and improvement of the gaming experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
CUDA
Gemini
Gemini Enterprise
Logitech Capture
OpenGL

Integrations

AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
CUDA
Gemini
Gemini Enterprise
Logitech Capture
OpenGL

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/ec2/instance-types/g4/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

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

Product Features

Deep Learning

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

HPC

Product Features

Alternatives

Alternatives

NVIDIA DLSS Reviews

NVIDIA DLSS

NVIDIA
GeForce NOW Reviews

GeForce NOW

NVIDIA
ShadowPlay Reviews

ShadowPlay

NVIDIA