Introduction
WEDA (WISE-Edge Developer Architecture) is Advantech's edge–cloud orchestration framework designed to accelerate the deployment of AI + IoT solutions across vertical industries. By enabling containerized development, cross-chip platform support, AI performance optimization, and standardized APIs, WEDA significantly reduces time-to-market from development to deployment. It scales flexibly with customer needs and application scenarios, delivering a unified, secure, and scalable AIoT ecosystem that supports everything from a single edge node to large-scale distributed industrial networks. WEDA consists of two core components: • WEDA Cloud - Cloud-Edge Orchestration of Distributed Edge AI • WEDA Edge - Containerized Edge Intelligence from OT to Cloud
Features
- 01
Ready-to-use Containers: Eliminating hardware barriers for faster AI development.
WEDA provides a standardized "Ready-to-develop" environment featuring advanced Container Passthrough technology. This allows developers to directly harness NPU and GPU power within containers without complex driver configurations. Combined with the WEDA Device Library, intricate OT hardware commands are transformed into intuitive Python and C# SDKs, simplifying hardware control and data integration. This ensures consistency from development to production, enabling AI concepts to be rapidly converted into industrial-grade applications.
- 02
Universal Edge Orchestration: Simplified IoT/AI management and secure model delivery.
WEDA offers a unified management framework for both general IoT operations and third-party AI models. It simplifies development through centralized remote control and automated deployment to distributed nodes. Beyond orchestration, WEDA emphasizes edge security by providing a secure tunnel for data transmission and protected execution environments for model assets. Whether managing device telemetry or updating high-value AI assets, WEDA ensures stable, encrypted, and compliant lifecycle management across industrial networks, balancing operational efficiency with essential asset integrity.
- 03
Configurable Digital Twin: Streamlining development with data-driven scene simulation.
WEDA allows users to define Digital Twin models based on their specific data configurations, significantly reducing architectural complexity. This framework enables rapid simulation of data scenarios and AI predictive analysis tailored to user-defined parameters, accelerating the deployment of IoT and AI applications. With intuitive natural language interaction and AI Agents, operators can manage edge assets through dialogue. Combined with secure Tunnel technology and real-time synchronization, WEDA ensures high-efficiency remote management and faster time-to-market.
Demonstration
High-Level Language Control
Empower partners to develop sophisticated device control logic using C# and Python, eliminating the complexity of low-level firmware coding.
Comprehensive DTDL Edge–Cloud Collaboration Framework
A complete DTDL-based communication architecture that enables full support for auto provisioning, device shadow, telemetry, and command protocols, ensuring state virtualization, high-level synchronization, and real-time bi-directional control between the cloud and edge devices.
Centralized Large-Scale Edge Device Management
The scalable WEDA Core platform efficiently supports and manages massive WEDA Node connections, continuously monitoring hardware health metrics such as CPU usage and motherboard temperature to ensure high system availability.
Remote Deployment & Secure Maintenance Channels
One-click remote container deployment, combined with secure TCP tunnel mechanisms, enables SSH/RDP connections through private networks, significantly reducing on-site service costs and improving operational efficiency.
Seamless AI/ML Ecosystem Integration
Rapidly connect your physical assets to MLOps pipelines for predictive maintenance and automated insights.
Developer Accelerator for Ecosystem Partners
Provides a ready-to-develop containerized environment to accelerate Edge AI application development for ecosystem partners. Completed applications can be packaged as ready-to-use containers and published to the Container Catalog, creating a standardized, end-to-end ecosystem for development, deploym
Product Update
- Version
- 1.0.0
- Release Date
- 2026/04/02
- What's new in this release?
- Identity & Access: Secure JWT authentication and flexible hierarchical management. Device Lifecycle: Full control over physical/virtual devices with DTDL-compliant metadata. Edge Provisioning: Secure encrypted credentials and remote tunnels for troubleshooting. Container Orchestration: Centralized Docker management with version control and one-click deployment. Automation & Data: High-performance telemetry via cursor-based pagination and real-time caching. Intelligence: Built-in rule engine for alerts and automated large-scale batch tasks.
- Language Supported
- English (US)