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Edge / Fog Computing

A curated hub of edge and fog computing directories — edge platforms and orchestration, edge AI and analytics, serverless and cloud-native deployments, and the IoT and network layers around them.

33 topics•3 categories•Updated November 13, 2026

Edge Platforms & Orchestration

7 entries

Where edge workloads run and how fleets of edge sites are managed.

01Edge Computing PlatformsComparison of edge computing platforms. 02Edge Device Cloud PlatformsCloud platforms for connecting, updating and monitoring fleets of edge devices. 03Edge Management and Orchestration (EMO) SoftwareSoftware for managing, monitoring and orchestrating distributed edge infrastructure at scale across hybrid environments. 04Edge Kubernetes PlatformsLightweight Kubernetes distributions and fleet-management platforms for containerized workloads across retail, industrial and telecom edge sites. 05Cloud-native Edge ComputingResources on applying cloud-native principles, such as containers, Kubernetes and microservices, to edge deployments. 06Platforms for Serverless at the EdgePlatforms for event-driven, serverless function execution at the network edge for ultra-low-latency applications. 07IoT Device Management PlatformsPlatforms for provisioning, monitoring and updating fleets of connected devices.

Edge AI & Analytics

7 entries

Running inference and analysing data close to where it is produced.

08Edge AIRunning AI inference and machine learning close to where data is produced, with related platforms, hardware and computing paradigms. 09Device-Native Foundation ModelsEdge0 language and voice models and other foundation models built to run on the device itself. 10Edge-Based Data Analytics SolutionsPlatforms and tools for analysing data at the edge. 11Edge-Based Streaming Data Analytics SolutionsPlatforms and tools for analysing streaming data at the edge. 12AIoTArtificial intelligence on the Internet of Things: a curated reading list. 13Edge-Native Inference EnginesLocal LLM runtimes and on-device inference frameworks. 14Edge Data AnalyticsAnalytics on data close to the source.

IoT, Networks & Delivery

5 entries

Devices, networks and delivery networks that edge sites depend on.

15The Internet of Things (IoT) ParadigmDirectory hub for IoT. 16IoT PlatformsIoT platform directory. 17Industrial IoT PlatformsCurated directory of industrial IoT platforms. 185G and 6G Communication NetworksCurated directory on 5G and 6G networks. 19Telecom Edge Computing PlatformsAWS Wavelength, Google Distributed Cloud, Azure Operator Nexus, MEC and network APIs for telecom edge.

Edge Standards & Industry Reports

9 entries

Standards bodies and reports for edge computing.

25ETSI Multi-access Edge ComputingMEC standards. 26LF EdgeOpen source edge projects. 27State of the EdgeEdge computing research reports. 28Industry IoT Consortium (now Digital Twin Consortium)Industrial IoT and edge reference architectures. 29Akraino (LF Edge)Edge stack blueprints. 30EdgeX FoundryOpen edge IoT middleware. 31KubeEdgeCNCF project that extends Kubernetes to the edge, with cloud-edge messaging and device management. 32Open Horizon (LF Edge)LF Edge project for autonomously managing and deploying services to edge nodes at scale. 33Eclipse KuraEclipse IoT edge framework, an extensible Java/OSGi-based IoT gateway platform.

Frequently Asked Questions

What is edge computing?

Edge computing processes data close to where it is produced, on devices, gateways or small local data centers, instead of sending everything to a central cloud. It cuts latency and bandwidth use and keeps working when connectivity is poor.

What is the difference between edge and fog computing?

The terms overlap. Fog computing usually describes a layer between devices and the cloud, with many nodes sharing the work, while edge computing refers more broadly to computing at or near the data source.

Why does edge computing need its own platforms?

Edge sites are numerous, remote and resource-limited, so they need lightweight runtimes, central fleet management, and tools that cope with intermittent connectivity.

Where should I start?

Start with Edge Computing Platforms for an overview, then Edge Kubernetes Platforms and Edge Management and Orchestration for running and managing workloads, and Edge AI for inference.

Edge or fog computing?

Fog computing describes a hierarchy of resources between devices and cloud, while edge usually means the layer nearest the data source.