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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

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

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

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