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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 Elastic Inference?

Amazon Elastic Inference provides a budget-friendly solution to boost the performance of Amazon EC2 and SageMaker instances, as well as Amazon ECS tasks, by enabling GPU-driven acceleration that could reduce deep learning inference costs by up to 75%. It is compatible with models developed using TensorFlow, Apache MXNet, PyTorch, and ONNX. Inference refers to the process of predicting outcomes once a model has undergone training, and in the context of deep learning, it can represent as much as 90% of overall operational expenses due to a couple of key reasons. One reason is that dedicated GPU instances are largely tailored for training, which involves processing many data samples at once, while inference typically processes one input at a time in real-time, resulting in underutilization of GPU resources. This discrepancy creates an inefficient cost structure for GPU inference that is used on its own. On the other hand, standalone CPU instances lack the necessary optimization for matrix computations, making them insufficient for meeting the rapid speed demands of deep learning inference. By utilizing Elastic Inference, users are able to find a more effective balance between performance and expense, allowing their inference tasks to be executed with greater efficiency and effectiveness. Ultimately, this integration empowers users to optimize their computational resources while maintaining high performance.

Media

Media

Integrations Supported

Amazon EC2
Amazon EC2 G4 Instances
Amazon Web Services (AWS)
Infor CloudSuite ERP
Infor M3
MXNet
PyTorch
TensorFlow

Integrations Supported

Amazon EC2
Amazon EC2 G4 Instances
Amazon Web Services (AWS)
Infor CloudSuite ERP
Infor M3
MXNet
PyTorch
TensorFlow

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

2006

Company Location

United States

Company Website

aws.amazon.com/machine-learning/elastic-inference/

Categories and Features

Categories and Features

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

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