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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
API Access
Has API
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
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
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Strategic Planning
Budgeting & Forecasting
Dashboard
Goal Setting / Tracking
Idea Management
KPIs
Modeling & Simulation
Roadmapping
Scenario Planning
Scorecards