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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

All information is securely kept and overseen in data centers located in Australia, with ownership that ensures protection from foreign laws and extraterritorial access. Our cost-effective commercial model, multi-tenant design, and automated management systems allow us to offer significant savings to our clients. There are no initial or termination fees, data migration costs, or any concealed expenses, granting you the freedom to change service providers without any financial penalties. We empower the digital transformation efforts of our partners and clients alike. Utilizing well-established VMware tools and features for enterprise re-platforming, we provide reliable solutions. We cater to various levels of digital readiness and offer the ability to instantly scale capacity up or down to align with your requirements. This commitment to flexibility ensures that our clients can adapt seamlessly to changing business environments.

Description

Amazon Elastic Inference provides an affordable way to enhance Amazon EC2 and Sagemaker instances or Amazon ECS tasks with GPU-powered acceleration, potentially cutting deep learning inference costs by as much as 75%. It is compatible with models built on TensorFlow, Apache MXNet, PyTorch, and ONNX. The term "inference" refers to the act of generating predictions from a trained model. In the realm of deep learning, inference can represent up to 90% of the total operational expenses, primarily for two reasons. Firstly, GPU instances are generally optimized for model training rather than inference, as training tasks can handle numerous data samples simultaneously, while inference typically involves processing one input at a time in real-time, resulting in minimal GPU usage. Consequently, relying solely on GPU instances for inference can lead to higher costs. Conversely, CPU instances lack the necessary specialization for matrix computations, making them inefficient and often too sluggish for deep learning inference tasks. This necessitates a solution like Elastic Inference, which optimally balances cost and performance in inference scenarios.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AUCloud

Founded

2016

Country

Australia

Website

www.australiacloud.com.au

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

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

Product Features

Infrastructure-as-a-Service (IaaS)

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

Product Features

Infrastructure-as-a-Service (IaaS)

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

Alternatives

Alternatives

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