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design
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Average Ratings 0 Ratings

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ease
features
design
support

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Description

The NVIDIA® EGX™ Platform for professional visualization is designed to enhance a variety of workloads, ranging from rendering and virtualization to engineering analysis and data science, across any device. This adaptable reference design integrates powerful NVIDIA GPUs with NVIDIA virtual GPU (vGPU) software and superior networking capabilities, offering remarkable graphics and computational strength, which allows artists and engineers to perform optimally from any location, all while significantly reducing costs, physical space, and energy consumption compared to traditional CPU-based systems. By utilizing the EGX Platform alongside NVIDIA RTX Virtual Workstation (vWS) software, organizations can easily implement a high-performance and budget-friendly infrastructure that has been rigorously tested and approved in collaboration with leading industry partners and ISV applications on reliable OEM servers. This cutting-edge solution not only empowers professionals to work remotely but also boosts productivity, enhances data center efficiency, and lowers IT management expenses, ultimately transforming how teams collaborate and innovate. Consequently, the EGX Platform exemplifies the future of professional visualization in a rapidly evolving technological landscape.

Description

The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes. This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions. Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Domino Enterprise AI Platform
Gaia
Inseego
Junos Traffic Vision
NVIDIA NGC
OpenLIT
SiaSearch

Integrations

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Domino Enterprise AI Platform
Gaia
Inseego
Junos Traffic Vision
NVIDIA NGC
OpenLIT
SiaSearch

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$3.06 per hour
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

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/design-visualization/egx-graphics/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Product Features

Product Features

Deep Learning

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

HPC

Alternatives

Alternatives

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