Edge ML Reference Architectures Guide | Guide to Reference Architectures for Edge ML Deployments

Edge ML Reference Architectures

Guide to Reference Architectures for Edge ML Deployments

Introduction to Edge ML Reference Architectures

Standalone Edge Architecture

Standalone edge architecture operates independently with minimal cloud dependency. This pattern provides maximum autonomy, privacy, and resilience but limits cloud capabilities.

Edge-Cloud Hybrid Architecture

Hierarchical edge architecture organizes edge devices in layers with d

Architectural Components

The edge device layer includes devices that perform ML inference, collect data, and interact with the physical world. Components include: sensors, processors, ML accelerators, storage, and connectivity. The edge device layer is the foundation of edge ML architectures.

Frequently asked questions