Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
The Intelligent Operating Model is not just software; it’s a transformative solution that redefines how your organization operates, seamlessly integrating AI to modernize your approach.
In Parallel’s Intelligent Operating Model introduces a groundbreaking way to synchronize your organization’s internal dynamics with external realities in real time. By continuously bridging strategy and execution, this adaptable model empowers your organization to anticipate obstacles and seize opportunities, driving transformation and achieving unparalleled operational effectiveness.
With cutting-edge AI and real-time data integration, the Intelligent Operating Model enhances and elevates your existing framework. It revolutionizes operations by eliminating inefficiencies, capturing missed potential, and breaking through barriers that impede progress.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon EC2
Yes
Amazon EC2 G4 Instances
Yes
Amazon Web Services (AWS)
Yes
MXNet
Yes
PyTorch
Yes
TensorFlow
Yes
Integrations
Amazon EC2
No
Amazon EC2 G4 Instances
No
Amazon Web Services (AWS)
No
MXNet
No
PyTorch
No
TensorFlow
No
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/machine-learning/elastic-inference/
Vendor Details
Company Name
In Parallel
Founded
2023
Country
Finland
Website
in-parallel.com
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
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Strategic Planning
Budgeting & Forecasting
No
Dashboard
No
Goal Setting / Tracking
No
Idea Management
No
KPIs
No
Modeling & Simulation
No
Roadmapping
No
Scenario Planning
No
Scorecards
No