Overview
Introduction
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.
Capabilities
Key Features
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
Resources
Resources
Next Steps
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