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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.

What is AUCloud?

All data is securely stored and managed within data centers in Australia, which keeps foreign regulations and extraterritorial access at bay due to local control. Our pricing structure is competitive, and thanks to a multi-tenant framework combined with automated management systems, we are able to provide substantial savings to our clients. There are no hidden fees for joining or leaving our services, and we don’t charge for data transfers, enabling you to switch providers freely without financial penalties. We support the digital transformation efforts of both our clients and partners by utilizing robust VMware tools for enterprise re-platforming. Furthermore, we cater to a variety of digital maturity stages, offering the flexibility to quickly scale resources up or down based on your specific needs. This level of adaptability guarantees that we can successfully address the changing requirements of your organization as they arise. Ultimately, our commitment to your evolving needs ensures a seamless partnership that fosters growth and innovation.

Media

Media

Integrations Supported

Amazon EC2
Amazon EC2 G4 Instances
Amazon Web Services (AWS)
MXNet
PyTorch
TensorFlow

Integrations Supported

Amazon EC2
Amazon EC2 G4 Instances
Amazon Web Services (AWS)
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

Amazon

Date Founded

2006

Company Location

United States

Company Website

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

Company Facts

Organization Name

AUCloud

Date Founded

2016

Company Location

Australia

Company Website

www.australiacloud.com.au

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

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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