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Industrial Edge Computing Platforms provide software infrastructure for deploying, orchestrating, and managing containers, applications, and analytics workloads on compute devices located on the plant floor, close to PLCs, sensors, and other OT equipment. They offer centralized, remote lifecycle management across distributed fleets of edge nodes, enabling organizations to push updates, monitor device health, connect to diverse industrial protocols, and run real-time data processing, visualization, and AI/analytics applications locally while optionally synchronizing with cloud or enterprise systems. These platforms typically include device onboarding, app marketplaces or catalogs, containerization/orchestration tooling, and security controls tailored for industrial environments.
These platforms address the challenge of running and maintaining software reliably across large numbers of geographically dispersed, resource-constrained industrial devices that cannot depend solely on cloud connectivity due to latency, bandwidth, or reliability requirements. They solve IT-OT integration gaps by normalizing data from heterogeneous legacy equipment and protocols, and reduce operational risk through centralized, remote lifecycle management, reducing the need for manual, on-site intervention. They also enable real-time local decision-making and analytics at the point of data generation, lower latency for time-sensitive automation, improve scalability of edge deployments, and provide consistent security, monitoring, and update mechanisms across diverse hardware and plant locations.”}}*/]}</br> /><!--}}}))));]**/ {{{{template=
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by Siemens
Open edge computing platform combining edge devices, containerized apps, OT/IT connectivity and a central management system to deploy, manage and run applications and analytics on the shop floor.

by Litmus Automation
Litmus Edge is a DataOps solution that turns fragmented industrial data into a repeatable system for deploying AI across

by Litmus Automation
Centralized control plane for managing distributed Litmus Edge deployments, including devices, applications, data models and AI workloads across sites.

by Red Hat
A flexible platform combining Red Hat Enterprise Linux, MicroShift lightweight Kubernetes and Red Hat Edge Manager to consistently support different workloads across small, resource-constrained devices at the farthest edge.

by Microsoft
Set of scalable, Azure Arc-enabled edge services running on Kubernetes that capture device and asset data, process and normalize it at the edge, and exchange operational insights with the cloud. Includes an edge-native MQTT broker, data flows, Akri-based device discovery and connectors for protocols such as OPC UA.

by Dell Technologies
A full-stack solution that centralizes deployment, orchestration and lifecycle management of infrastructure and applications at the edge and in distributed data centers, with zero-touch onboarding and zero-trust security. Formerly known as Dell NativeEdge.

by Dell Technologies

by Helin
A secure edge application engine that runs containerized industrial software on distributed assets, with OTA deployment, device identity and zero-trust access, and protocol adapters for OPC-UA, Modbus, MQTT, CAN and NMEA.
by Avassa
An edge application management and orchestration platform for deploying, operating and securing containerized applications, VMs and AI models across hundreds or thousands of distributed edge and industrial sites. It consists of a central Control Tower and an on-site Edge Enforcer agent, and works without Kubernetes.
by Barbara
Edge management and orchestration platform to deploy, run and monitor Docker-based edge applications and AI models across distributed industrial edge nodes, with device lifecycle management, industrial connectors and a marketplace of certified edge apps.
by ZEDEDA
Cloud-managed edge orchestration platform (ZEDEDA Edge Intelligence Platform) for deploying, operating and securing AI models, agents, containers, VMs and legacy applications across fleets of heterogeneous edge hardware, built on the open-source EVE-OS.