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What is NVIDIA EGX Platform?

The NVIDIA® EGX™ Platform for professional visualization is crafted to optimize a wide range of workloads, including rendering, virtualization, engineering analysis, and data science, on any device. This flexible reference design combines robust NVIDIA GPUs with NVIDIA virtual GPU (vGPU) software and advanced networking capabilities, delivering exceptional graphics and computational power that enables artists and engineers to work effectively from any location. It also significantly cuts costs, minimizes physical space requirements, and reduces energy use compared to conventional CPU-based systems. By leveraging the EGX Platform in conjunction with NVIDIA RTX Virtual Workstation (vWS) software, organizations can seamlessly establish a high-performance, cost-effective infrastructure that has undergone extensive testing alongside top industry partners and ISV applications on trusted OEM servers. This innovative solution not only facilitates remote work for professionals but also enhances productivity, improves data center efficiency, and decreases IT management costs, fundamentally changing the way teams collaborate and innovate. Moreover, the EGX Platform stands as a beacon of the future of professional visualization amid the swiftly changing technological landscape, ensuring that businesses remain at the forefront of innovation.

What is Amazon EC2 P4 Instances?

Amazon's EC2 P4d instances are designed to deliver outstanding performance for machine learning training and high-performance computing applications within the cloud. Featuring NVIDIA A100 Tensor Core GPUs, these instances are capable of achieving impressive throughput while offering low-latency networking that supports a remarkable 400 Gbps instance networking speed. P4d instances serve as a budget-friendly option, allowing businesses to realize savings of up to 60% during the training of machine learning models and providing an average performance boost of 2.5 times for deep learning tasks when compared to previous P3 and P3dn versions. They are often utilized in large configurations known as Amazon EC2 UltraClusters, which effectively combine high-performance computing, networking, and storage capabilities. This architecture enables users to scale their operations from just a few to thousands of NVIDIA A100 GPUs, tailored to their particular project needs. A diverse group of users, such as researchers, data scientists, and software developers, can take advantage of P4d instances for a variety of machine learning tasks including natural language processing, object detection and classification, as well as recommendation systems. Additionally, these instances are well-suited for high-performance computing endeavors like drug discovery and intricate data analyses. The blend of remarkable performance and the ability to scale effectively makes P4d instances an exceptional option for addressing a wide range of computational challenges, ensuring that users can meet their evolving needs efficiently.

Media

Media

Integrations Supported

AWS Deep Learning Containers
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn2 Instances
Amazon EC2 UltraClusters
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)
Domino Enterprise AI Platform
Inseego
Junos Traffic Vision
MXNet
SiaSearch
TensorFlow

Integrations Supported

AWS Deep Learning Containers
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn2 Instances
Amazon EC2 UltraClusters
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)
Domino Enterprise AI Platform
Inseego
Junos Traffic Vision
MXNet
SiaSearch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$11.57 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/design-visualization/egx-graphics/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/p4/

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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