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What is Enterpristore?

Enterpristore for Infor ERP integrates flawlessly with Amazon Web Services, offering a robust e-commerce cloud computing solution that caters to businesses of all sizes in search of a flexible, secure, highly scalable, and economical platform for their online sales and retail operations. Cloud computing encompasses the instant availability of computing power, database storage, applications, and various IT resources through a cloud services platform accessed over the internet, often leveraging a pay-as-you-go pricing structure. By leveraging the capabilities and reliability of AWS, users can deploy solutions in seconds and manage them easily with the intuitive Lightsail interface, which is tailored for smaller-scale requirements. Additionally, Amazon EC2 Auto Scaling guarantees that your application runs with the right amount of computing capacity, as it dynamically adds new instances during peak demand and removes them when they are no longer necessary. This intelligent management of resources not only enhances efficiency but also promotes cost savings for your organization. As a result, businesses can focus on growth while relying on a powerful infrastructure that adjusts to their needs.

What is Amazon EC2 G4 Instances?

Amazon EC2 G4 instances are meticulously engineered to boost the efficiency of machine learning inference and applications that demand superior graphics performance. Users have the option to choose between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) based on their specific needs. The G4dn instances merge NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing an ideal combination of processing power, memory, and networking capacity. These instances excel in various applications, including the deployment of machine learning models, video transcoding, game streaming, and graphic rendering. Conversely, the G4ad instances, which feature AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, present a cost-effective solution for managing graphics-heavy tasks. Both types of instances take advantage of Amazon Elastic Inference, enabling users to incorporate affordable GPU-enhanced inference acceleration to Amazon EC2, which helps reduce expenses tied to deep learning inference. Available in multiple sizes, these instances are tailored to accommodate varying performance needs and they integrate smoothly with a multitude of AWS services, such as Amazon SageMaker, Amazon ECS, and Amazon EKS. Furthermore, this adaptability positions G4 instances as a highly appealing option for businesses aiming to harness the power of cloud-based machine learning and graphics processing workflows, thereby facilitating innovation and efficiency.

Media

Media

Integrations Supported

AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
CUDA
Infor CloudSuite ERP
Infor M3
OpenGL

Integrations Supported

AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
CUDA
Infor CloudSuite ERP
Infor M3
OpenGL

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Logistica Solutions

Date Founded

2007

Company Location

United States

Company Website

www.logistica-solutions.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

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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