Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
No
Integrations
Amazon EC2
No
Amazon EC2 G4 Instances
No
Amazon Web Services (AWS)
No
MXNet
No
PyTorch
No
TensorFlow
No
Integrations
Amazon EC2
Yes
Amazon EC2 G4 Instances
Yes
Amazon Web Services (AWS)
Yes
MXNet
Yes
PyTorch
Yes
TensorFlow
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Configuration Management
No
Data Migration
No
Data Security
No
Load Balancing
No
Log Access
No
Network Monitoring
No
Performance Monitoring
No
SLA Monitoring
No
Product Features
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
No
Configuration Management
No
Data Migration
No
Data Security
No
Load Balancing
No
Log Access
No
Network Monitoring
No
Performance Monitoring
No
SLA Monitoring
No