Advantech and Axelera AI partnership to accelerate Edge AI innovation
Advantech has announced a new strategic collaboration with Axelera AI, a pioneering AIPU solution provider, to jointly develop a new generation of Edge AI acceleration modules powered by the Europa AIPU.
These joint solutions will complement Advantech’s existing suite of products that support Metis and target low-power, high-performance edge use cases. The partnership furthers Advantech’s commitment to integrating advanced AI acceleration technology, delivering high-performance solutions to market ahead of the industry curve and supporting customers across industrial automation, robotics, smart cities, and medical imaging to accelerate the adoption of edge AI applications.
“This collaboration with Axelera AI marks an important milestone in Advantech’s AI acceleration roadmap,” said Joey Hsu, Director of Advantech’s Embedded Sector. “By combining Axelera AI’s cutting-edge neural processing technology with Advantech’s system design expertise and global deployment capabilities, we are enabling customers to deploy cutting-edge AI solutions with greater speed and scalability.”
At the core of the partnership is Advantech’s new Edge AI Acceleration Module (EAI-3841 series), featuring the Europa AIPU, which delivers up to 629 TOPS of performance and supports up to 164GB of LPDDR5 memory. With eight AI cores, integrated RAM per compute unit, and a built-in video decoder, the module enables real-time, complex model analysis, including VLM, and VITs. Additionally, it is designed for companies seeking multi-camera analysis—ideal for robotic vision, intelligent surveillance, in-vehicle systems, and precision medical diagnostics.
“We are excited to further our collaboration with Advantech, a recognised leader in industrial edge computing,” said Nicolas Silvestre, Director of Sales, APAC – Axelera AI. “The integration of our Europa AIPU into Advantech’s platforms will empower customers with unprecedented AI performance and efficiency, enabling smarter, faster, and more sustainable edge applications.”
