Advantech Hosts World Partner Conference During COMPUTEX, Advancing Physical AI and WEDA Architecture

Advantech Co., Ltd. (TWSE: 2395), a global leader in IoT intelligent systems and embedded platforms, hosted its World Partner Conference (WPC) yesterday at the Advantech AIoT Co-Creation Campus. This year marked the first time Advantech deeply integrated WPC with COMPUTEX, successfully attracting more than 800 technology partners, industry leaders, and ecosystem members from around the world. Through 12 vertical industry forums, participants explored the latest developments in Edge AI, Physical AI, and AI Agents. As an annual gathering for the global Edge AI industry, Advantech created a platform that connected global technology trends, hands-on product experiences, and cross-border business matchmaking. Over three days of in-depth exchanges, global attendees gained first-hand insights into the latest edge computing and AI-powered solutions, while further strengthening strategic, technical, and commercial collaboration across the global ecosystem.

Integrating WPC with COMPUTEX to Deepen Global Partner Engagement on Key Edge AI Applications

Advantech Chairman K.C. Liu stated that, under this year’s branding theme of “Edge Computing & AI-Powered WISE Solutions,” Advantech integrated WPC with COMPUTEX for the first time to expand global ecosystem collaboration and build a more comprehensive Edge AI value chain. By connecting technology partners, developers, and industry customers, Advantech aims to accelerate the development of scalable and replicable solutions.

From his front-line market perspective, Advantech North America General Manager Ween Niu observed that enterprise demand for Edge AI adoption is growing rapidly. Customers no longer require only individual hardware devices or AI models; instead, they need system-level partners capable of integrating hardware, software, AI frameworks, system deployment, and field services. In application fields such as smart manufacturing, healthcare, logistics, and autonomous equipment, AI projects often involve complex requirements, including cross-platform integration, real-time computing, data processing, and on-site operations and maintenance. As a result, the key success factors for AI commercialization lie in ecosystem collaboration and the ability to deploy scalable architectures quickly.

Advantech Shares “From Digital to Physical: Edge AI Computing & WEDA” at the COMPUTEX Forum

In response to growing market demand for scalable AI architectures, Miller Chang, President of Advantech Embedded Sector, delivered a keynote speech titled “From Digital to Physical: Edge AI Computing & WEDA” at the COMPUTEX official forum on June 4. The session attracted nearly 1,000 attendees and highlighted the latest trends as AI moves from the digital world into physical industrial environments. Miller Chang stated, “The world is now at a critical inflection point for Edge AI and is about to enter a major wave of rapid Physical AI growth. AI has evolved from cloud-based model training and generative AI into the Physical AI stage, where systems are capable of sensing, reasoning, and taking action. In the future, AI will be able to participate in real-time industrial decision-making and autonomous operations, becoming a key force driving the intelligent transformation of industries.”

To help enterprises overcome integration and deployment challenges in AI adoption, Dr. Richard Huang, AVP and Chief Software Architect of Advantech’s WISE-IoT Group, further introduced WEDA, the WISE-Edge Developer Architecture during the forum. Dr. Huang stated, “WEDA is designed to provide an open architecture that accelerates the development of AI Agents, digital twins, Edge AI, and other applications across a wide range of GPU and NPU chip platforms. It also significantly reduces the complexity of deploying large numbers of Edge AI devices across multiple sites and managing the AI model lifecycle.”

Through a consistent development architecture and ecosystem support, Advantech aims to help partners move AI applications rapidly from proof of concept to sustainable large-scale commercial deployment, jointly accelerating the broad adoption of Edge AI.