IEI unveils industrial edge AI platforms at Computex
Tue, 2nd Jun 2026 (Today)
IEI has unveiled a lineup of edge artificial intelligence platforms for industrial applications at Computex 2026, aimed at deployment in automation, intelligent operations and other mission-critical settings.
The announcement focuses on systems designed to combine AI computing, real-time control and cybersecurity at the industrial edge. Manufacturers and other industrial users are looking for ways to run AI workloads closer to operations while managing control systems, networking and security in the same environment.
Highlighted systems include the GAIA-5040A edge AI server for large language model and vision AI workloads, the PUZZLE-9070 edge AI server with 100G networking, and compact industrial systems such as the GAIA-NAGX/NNX and TANK-XM813. IEI presented the products as part of a broader push to address industrial requirements including computing performance, control precision, cyber resilience and durability.
The lineup also includes equipment for industrial edge real-time control. IEI said its TANK-XM811 and DRPC-W-ASL platforms demonstrate software-defined automation by integrating Mitsubishi Electric SWM-G motion control with ROS2-based RV-2FR robot control.
Security focus
Cybersecurity was another focus. IEI said its development work is based on IEC 62443-4-1 secure development principles and that it offers vulnerability response support for key accounts, which it framed as preparation for compliance with the Cyber Resilience Act.
Durability also featured prominently. IEI pointed to DNV-certified maritime systems and IP69K-rated stainless steel systems for food and beverage washdown environments, underscoring an emphasis on sectors where equipment must operate in harsh or tightly regulated conditions.
Robot safety
A second demonstration focused on safety for autonomous mobile robots used in semiconductor wafer transport. In that setup, a single TANK-XM813 system handles both mobile cobot management and AI intrusion detection through the iVEC platform.
According to IEI, the system uses Intel OpenVINO to analyse camera feeds, identify personnel and trigger safety stops through an internal software-defined network. The company said the approach is intended to reduce downtime and safety risks without requiring a separate AI computer.
Industrial shift
The latest product push reflects a wider shift in industrial technology as AI projects move beyond pilot stages and into operational environments. That transition has increased demand for systems that can process data locally, support deterministic control and meet tighter cybersecurity expectations.
Industrial operators are under pressure to connect more machines, sensors and robotics while keeping systems available and safe. Running AI at the edge can help cut latency and reduce dependence on centralised cloud infrastructure, but it also increases the importance of rugged hardware, system integration and vulnerability management.
IEI is positioning its range around those pressures by bringing several functions into a smaller number of systems. Rather than treating AI inference, machine control and cybersecurity as separate layers, the company is presenting them as parts of a single industrial platform.
That approach is especially relevant in sectors such as manufacturing, transport and maritime operations, where failures or interruptions can have immediate operational consequences. Food and beverage plants, for example, often require equipment that can withstand intensive washdowns, while semiconductor facilities place a premium on contamination control, movement precision and worker safety.
"AI is moving from demonstration to edge deployment," said YT Lee, Vice President, IEI.
"Customers need secure platforms consolidating computing, control, networking and management. Our showcase presents resilient solutions built for this exact transition," said Lee.