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Predix Edge

Asset connectivity and local intelligence to power your IIoT solution

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What is Predix Edge?

Industrial operator  using Predix edge systems for visibility and controlIndustrial operator  using Predix edge systems for visibility and control

Edge computing is a critical part of any IIoT solution—from condition-based monitoring to asset performance management applications. Predix Edge supports the data collection, local apps and analytics, and secure cloud connection that are the cornerstone of your operations.

See Predix Edge in action

Predix Edge Manager Enrollment
Predix Edge Manager Enrollment
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Edge Manager Enrollment

This video will show you how to enroll a Predix Edge virtual machine into the Predix Edge Manager.

Send Data to Predix APM
Send Data to Predix APM
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Send Data to Predix APM

This video will show you how to send data to Predix using a device that is enrolled in Edge Manager.

Optimization Ingestion at the Edge
Optimization Ingestion at the Edge
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Optimization Ingestion at the Edge

Optimize how much data we are going to ingest using a device publishing data to APM using the “Deadbander”. An example using the OPC UA adapter will also be presented.

Features of Predix Edge

Connect, monitor, and manage assets

Put analytics to work

Leverage edge applications

Simplify solution management

Predix Edge capabilities

Delivering IIoT solution ROI

Industrial engineers using Predix Essentials from GE DigitalIndustrial engineers using Predix Essentials from GE Digital

Whether you choose rich Predix APM or Predix OPM applications, Predix Essentials for condition-based monitoring, or develop your own apps, Predix Edge is important to your success. Beyond data collection and forwarding, edge-based processing and analytics can reduce downtime, add operational value, and minimize network and cloud costs.

Processing where you need it


Predix Edge provides powerful connectivity and management capabilities and a scalable platform for any edge computing need. By supporting deployment options from small footprint embedded gateways to high-end servers, Predix Edge delivers connectivity, apps, and intelligence from the plant floor to the data center.

Connect assets and data sources


Predix Edge connects to industrial assets to collect data and send control signals. It  supports a wide variety of standard and proprietary protocols to unlock access to almost any industrial data source. Data can be filtered, processed by edge-based apps and analytics, then reliably forwarded to Predix Cloud for further processing.

Powerful apps and analytics

Industrial engineers using Predix Edge computing for control systemsIndustrial engineers using Predix Edge computing for control systems

Predix Edge supports data processing from basic filtering and aggregation to edge-based applications and complex analytics. With support for multi-container workloads and analytics engines, Predix Edge can host local monitoring applications, custom data processing, streaming analytics, machine learning and more.

Management simplicity


Predix Edge Manager is an intuitive and automated cloud application to manage fleet-scale Predix Edge deployments, operations, and edge-based apps and analytics. It also provides a secure channel to monitor, alert and change setpoints for connected industrial machines. Local management is enabled via an onboard Technician Console.

Predix Edge for industrial OEMs


Predix Edge’s value is not limited to equipment operators. Industrial equipment providers and servicers can use Predix Edge to enhance the functionality and availability of their equipment—improving customer satisfaction, gaining competitive advantage, and reducing servicing costs.

Related Predix applications

Industrial engineers using Predix Essentials from GE Digital
IIoT Platform

Predix Essentials

Connect to assets and IT/OT data, monitor conditions, analyze alerts, and manage incidents through resolution – no software development required.

Industrial Software

Asset Performance Management (APM)

Optimizing the performance of assets to increase reliability and availability, minimize costs, and reduce operational risks.