The Multi-Site Edge AI Solution is purpose-built for enterprises operating distributed estates factories, warehouses, and remote sites that today run on separate systems, separate connectivity, and no unified visibility. Designed to bring AI-driven inspection and monitoring to every location while keeping a single central view, this solution deploys local edge AI at each site and aggregates the results into one cloud dashboard, making enterprise-scale AI practical without the cost and latency of centralizing raw data.

Anchored by an Advantech ARK-1251 edge AI computer built on Intel Core Ultra 7 with integrated GPU and NPU, the solution runs AI inference directly at each site defect detection, anomaly analysis, and quality inspection without sending raw video or sensor streams to the cloud. Local inference means decisions happen in milliseconds, bandwidth costs stay low, and each site keeps operating intelligently even if its connection to the cloud is temporarily lost.

Each site is built on a resilient local backbone: A Moxa EDS-510E managed switch connects the site's existing cameras, PLCs, and sensors into the edge AI computer, while a Moxa UC-8200 industrial IoT gateway handles protocol conversion, MQTT publishing, and secure data forwarding. A Teltonika RUTX50 5G router provides high-bandwidth WAN connectivity with built-in VPN, linking each site securely back to the central platform.

The central cloud layer aggregates every site into a single dashboard fleet-wide visibility, cross-site analytics, and unified alerting while closing the management loop in the other direction: AI models, configurations, and policies are deployed and updated centrally and pushed back down to every edge site. This two-way orchestration is what makes AI manageable at scale, turning dozens of independent sites into one coordinated, centrally governed intelligent estate.

Features

Distributed edge AI ARK-1251 (Core Ultra 7, GPU + NPU) runs local inference at each site without cloud latency

Local AI inference defect detection, anomaly analysis, and quality inspection processed on-site in milliseconds

Central fleet visibility every site aggregated into a single cloud dashboard with cross-site analytics

Two-way model management AI models and configurations deployed and updated centrally, pushed to every edge site

Resilient site backbone Moxa EDS-510E managed switch connects cameras, PLCs, and sensors to the edge AI

Industrial IoT gateway Moxa UC-8200 handles protocol conversion, MQTT publishing, and secure forwarding

High-bandwidth 5G WAN Teltonika RUTX50 provides fast, reliable connectivity with built-in VPN per site

Bandwidth efficiency raw data stays at the edge; only results and telemetry are sent to the cloud

Offline resilience each site keeps operating intelligently even during cloud connectivity loss

Scalable architecture new sites integrate into the central platform without redesigning the core stack

Specifications

Component	Model / Detail
Edge AI Computer	Advantech ARK-1251 Intel Core Ultra 7, GPU + NPU
Cloud Gateway	Moxa UC-8200 Industrial IoT Gateway, MQTT, protocol conversion
5G Router	Teltonika RUTX50 Industrial 5G, VPN, high-bandwidth WAN
Managed Switch	Moxa EDS-510E Gigabit managed, site backbone
AI Workloads	Defect detection, anomaly analysis, quality inspection
Inference	Local edge inference, low-latency, offline-capable
Cloud Protocol	MQTT / TLS results and telemetry northbound
Model Management	Central deployment and update of AI models to all edge sites
Connectivity	5G WAN per site with built-in VPN
Security	VPN (IPsec / WireGuard), TLS, device authentication, role-based access