Software-Defined Edge Computing at Embedded World 2026

NEXCOM will present a portfolio of Software-Defined Edge Computing (SDEC) technologies at Embedded World 2026, demonstrating how Edge AI and Physical AI can be deployed across robotics, manufacturing, security, mobility, and smart city infrastructure.

Embedded World 2026 participation
NEXCOM will exhibit at Embedded World 2026, held from March 10 to 12, 2026, at Messezentrum Nuremberg in Germany (Hall 3, Booth 3-341). The exhibition serves as a platform for embedded system developers and industrial technology providers to present advances in hardware, software, and system-level integration.

Under the theme “Unleashing the Ingenuity of SD Edge Computing,” NEXCOM’s showcase is structured around two technical segments: AIoT Solutions and AI Computing. Together, these segments illustrate how software-defined architectures can decouple hardware from applications, enabling scalable deployment of intelligence at the edge.

AIoT solutions for safety and humanoid robotics
In the safety robotics segment, NEXCOM demonstrates an integrated robotic control architecture based on the EtherCAT open standard. The solution combines SIL 2 safety controllers, radar sensors, and smart joint modules with the nexECM EtherCAT master API and the nexRTOS real-time operating system.

At the controller level, the Robotic AI Controller MARS400 T10-05 is designed to handle compute-intensive robotic workloads. Powered by the NVIDIA Jetson T5000 with Blackwell GPU architecture, the platform delivers up to 2070 TFLOPS of AI performance and integrates NVIDIA Isaac ROS for robot application development. This processing capacity supports multimodal AI inference, real-time motion control, high-speed sensor fusion, and environment perception required in humanoid and autonomous robotic systems.

AIoT architectures for smart manufacturing
For smart manufacturing, NEXCOM presents a hybrid enterprise–manufacturing AI architecture that connects shop-floor data acquisition with enterprise-level analytics. The platform integrates AI-capable edge computers with software components including Python-based development environments, data lakes, OT/IT microservices, on-premises large language models, and centralized IIoT asset management.

The APPC 160 and APPC 210 C21 industrial panel PCs, based on Intel Core Ultra 5 125U processors, combine CPU, GPU, and NPU resources to support real-time AI processing at the machine interface. When paired with the NexVIC web-based IIoT asset management suite, the system enables remote hardware monitoring and low-code workflow configuration, supporting data-driven decision-making in smart manufacturing environments.

OT security at the edge
Operational technology security is addressed through the eSAF Guardian software. Designed for ARM-based embedded systems running RTOS or Linux, the solution provides low-level monitoring of processes, file access, and network connections in real time.

By enforcing security policies directly at the device level, eSAF Guardian is intended to mitigate risks from malware, unauthorized software, and supply chain attacks. The software aligns with ISA/IEC 62443 requirements, supporting compliance for industrial automation and robotic control systems operating in regulated environments.

AI computing for on-premise and mobile deployments
In the AI computing segment, NEXCOM presents AIC AI-X, an on-premises generative AI platform designed for organizations with strict data privacy requirements. By shifting inference and retrieval-augmented generation (RAG) workloads from the cloud to local edge infrastructure, the platform reduces data exposure while enabling use of enterprise-specific knowledge bases. Support for multiple AI models and a dedicated GPT-style interface allows deployment across sectors such as manufacturing, healthcare, education, and finance.

For mobile and transportation use cases, NEXCOM highlights rugged Edge AI systems with IP67 protection for rail and in-vehicle environments. Platforms accelerated by NVIDIA Jetson modules enable applications such as advanced driver assistance systems, automatic number plate recognition, and intelligent transportation systems. The ATC 3561-NA4C, based on the NVIDIA Jetson Orin Nano system-on-module, is positioned for real-time inference in mission-critical telematics and mobility applications.

Smart city edge platforms
NEXCOM also demonstrates Edge AI platforms for smart city infrastructure, combining recent Intel processor architectures with flexible AI accelerator integration. Systems such as the NDiS B340 duro edge computer feature the DockInfinity expansion design, allowing modular configuration with PoE, capture, or I/O cards.

This modularity supports data-intensive edge workloads and multi-display computing while enabling system integrators to adapt hardware configurations to project-specific requirements. The approach is intended to simplify product planning, reduce integration complexity, and support scalable deployment as smart city applications evolve.

Application context
NEXCOM’s Embedded World 2026 showcase illustrates how software-defined edge computing can unify AI inference, real-time control, security, and connectivity across diverse industrial and infrastructure use cases. By combining standardized interfaces, high-performance edge hardware, and modular software stacks, the demonstrated solutions address the increasing complexity of deploying and managing intelligence at the edge in industrial automation, robotics, transportation, and urban systems.