Visitors to Hall 3, Booth 257 at embedded world will witness the ASUS IoT RUC-1000G, an innovative edge AI computing platform designed for seamless AI deployment, system integration, and high-performance GPU utilization. The solution is powered by Intel’s Core Ultra S-series processors with W880 chipset, PCIe 5.0 support, and a modular half-rack design for scalable AI applications.

Autonomous mobile robots (AMRs) are transforming the way work is carried out, from repetitive tasks on factory floors to operations in healthcare, retail, agriculture, and beyond.

Artificial Intelligence of Things (AIoT) combines AI and IoT to create smart, connected systems that can analyze and respond intelligently to data collected from IoT devices. IoT systems facilitate the collection and exchange of data among various devices and AI analyzes the data to drive smart decision-making ― without the need for human intervention.

Today’s industrial solutions are continuously evolving. Industrial automation and IoT industries demand rugged and compact solutions that excel in edge computing tasks, such as real-time decision-making, without compromising energy efficiency and customizability for the wide range of Industry 4.0 devices.

Today’s industrial environments are pressured by the need for real-time data analysis and decision-making at the edge, especially for applications like machine vision, automated guided vehicles (AGV), autonomous mobile robots (AMR), and intelligent video-analytics applications that assist with sorting machinery, performing automated optical inspection (AOI) and defect inspection, and object recognition tasks.

It’s almost hard to imagine a conversation these days that doesn’t involve AI. The topic du jour is how we can enhance Edge AI performance using MXM (mobile PCI Express module) GPU modules. First, let’s briefly explain what an MXM GPU module is and what functions it performs.

With the influx of industrial applications being deployed in a variety of today’s challenging environments, the need for reliable, flexible, and high-performance computing solutions is dire. Edge computing solutions like smart factories, intelligent transportation and video analytics, and machine vision need rugged devices capable of operating in environments with extreme temperatures, dust, and vibration, without sacrificing performance.