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Average Ratings 0 Ratings

Total
ease
features
design
support

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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's virtual GPU (vGPU) software delivers high-performance GPU capabilities essential for various tasks, including graphics-intensive virtual workstations and advanced data science applications, allowing IT teams to harness the advantages of virtualization alongside the robust performance provided by NVIDIA GPUs for contemporary workloads. This software is installed on a physical GPU within a cloud or enterprise data center server, effectively creating virtual GPUs that can be distributed across numerous virtual machines, permitting access from any device at any location. The performance achieved is remarkably similar to that of a bare metal setup, ensuring a seamless user experience. Additionally, it utilizes standard data center management tools, facilitating processes like live migration, and enables the provisioning of GPU resources through fractional or multi-GPU virtual machine instances. This flexibility is particularly beneficial for adapting to evolving business needs and supporting remote teams, thus enhancing overall productivity and operational efficiency.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AMD Radeon ProRender Yes 
AWS Marketplace No 
Amazon EC2 Yes 
Amazon EKS Yes 
Amazon Elastic Inference Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Armet AI No 
Azure Marketplace No 
CUDA Yes 
IBM Spectrum LSF Suites No 
IONOS Cloud GPU Servers No 
IREN Cloud No 
Mistral Compute No 
NVIDIA Base Command Manager No 
NVIDIA Magnum IO No 
NVIDIA TensorRT No 
Notenic No 
OpenGL Yes 
SF Compute No 

Integrations

AMD Radeon ProRender No 
AWS Marketplace Yes 
Amazon EC2 No 
Amazon EKS No 
Amazon Elastic Inference No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
Armet AI Yes 
Azure Marketplace Yes 
CUDA No 
IBM Spectrum LSF Suites Yes 
IONOS Cloud GPU Servers Yes 
IREN Cloud Yes 
Mistral Compute Yes 
NVIDIA Base Command Manager Yes 
NVIDIA Magnum IO Yes 
NVIDIA TensorRT Yes 
Notenic Yes 
OpenGL No 
SF Compute Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

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/data-center/virtual-solutions/

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

HPC

Product Features

Server Virtualization

Audit Management No 
Health Monitoring No 
Live Machine Migration No 
Multi-OS Virtual Machines No 
Patching / Backup No 
Performance Log No 
Performance Optimization No 
Rapid Provisioning No 
Security Management No 
Type 1 / Type 2 Hypervisor No 

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