Overview
Scale Edge AI Faster and Smarter
WISE-Edge Developer Architecture (WEDA) helps you build, replicate, and scale edge AI across industries — with containerized development, AI acceleration, and ready-to-use APIs for rapid deployment.
Build Fast
Start with One
- High-Level Device Library
Agentic tool integration-ready, unified, cross-platform, device SDK with Python, C# support.
- Ready-to-dev Containers
Edge AI-enabled containers featuring Computer Vision and LLM capabilities for rapid deployment.
- Plug & Play Connectivity
Zero-touch device onboarding for seamless integration and interoperability.
- High-Level Device Library
Replicate Easier
Multiply with Ease
- Any IoT Data, Any Data Type
Supports time series, image data, easily accessible via Web API.
- Intelligent Data Engine
Real-time aggregation, math operations, and AI-powered analytics.
- Open by Design
Standard APIs accelerate third-party integration and ecosystem expansion.
- Any IoT Data, Any Data Type
Scale Seamlessly
Expand without Limits
- Instant Provisioning
Automated provisioning ensures rapid setup and scaling readiness.
- Large-Scale Deployment Made Simple
Easily deploy and manage multiple endpoints at scale simultaneously.
- Scale with Ease
Elastic scaling adapts to business growth without infrastructure limits.
- Instant Provisioning
Why WEDA
Built by Advantech,
for
Cross-chip Intelligence.
Advantech unifies software, data, and AI ecosystems across multiple chip architectures—from GPUs and NPUs to AI accelerators—enabling scalable, intelligent edge AIoT deployment.
Cross-chip AI Deployment
WEDA delivers Edge AI hardware acceleration-enabled containers with direct GPU/NPU/DSP passthrough, featuring optimized AI model workflows for each chipset vendor. Compatible with AMD, Intel, NVIDIA, NXP, Qualcomm, and Rockchip platforms.
AI-powered Edge Infrastructure
As the global leader in Industrial Computing, Advantech provides a comprehensive edge hardware portfolio with pre-optimized Edge AI containers featuring Edge Computer Vision and Edge AI Agent Architecture , offering a reliable, compatible, and scalable foundation for rapid real-world AI application deployment.
Technology
Key Technologies
High-throughput IoT Core
Handles massive industrial data streams with high availability and reliability. Processes over 2 million data points per second to ensure real-time responsiveness.
Optimized Time-series Processing
Aggregates, transforms, and resynchronizes time-series data in real time. Delivers scalable performance with customizable analytics modules.
Digital Twin Integration
Adopts Open Device (DTDL) and OpenUSD standards for model and capability descriptions, enabling unified digital representations of edge assets.
Distributed Container Deployment
Supports one-click stack and node deployment with Docker Compose and Helm Charts, simplifying large-scale distributed management.
Auto Provisioning
Provides secure, automated provisioning with x.509 certificate rotation, ensuring seamless device onboarding and lifecycle management.
AI Agent Tools
Includes built-in MCP servers for AI agents, enabling intelligent orchestration and automated decision-making at the edge.
Use Case
Real-world Results, Powered by WEDA
Resources
Resources to Build You Own Story
For System Integrators
WEDA streamlines device integration with standardized connectivity and seamless interoperability.
For Developers
WEDA empowers developers to build scalable edge-to-cloud applications with simplified APIs and containers.
For Ecosystem Partners
WEDA strengthens ecosystem partnerships by enabling smooth interoperability and fostering joint innovation from edge to cloud.
FAQs
Frequently Asked Questions
WISE-Edge Development Architecture (WEDA) is an Industrial Edge AI Orchestration Framework that provides a complete toolset and platform capabilities from development, deployment, and operation to scaling.