Press Room
Nuremberg, Germany — March 9th, 2026 — SINTRONES, a global provider of rugged embedded and Edge AI computing solutions, will present its latest innovations at Embedded World 2026 (Hall 3, Booth 3-458), featuring the ThermoSiphon™ Edge AI Computer alongside a world-leading lightweight compact Edge AI system. Developed under IEC 62443-4-1 certified secure development processes, SINTRONES’ Edge AI solutions are designed for mission-critical applications, including industrial automation, transportation mobility, and military and defence, where real-time perception, local decision-making, long-term operational reliability, and cyber resilience are essential. Demonstrations will include practical AI scenarios such as dangerous material and weapon detection, illustrating how on-device inference enhances situational awareness and response time in safety and security sensitive environments. Patented ThermoSiphon™ Edge AI Computer: Advanced Passive Cooling A central element of the showcase is SINTRONES’ ThermoSiphon™ Edge AI Computer, ABOX-5221, engineered for sustained high-performance Edge AI computing under extreme thermal conditions. Its patented self-circulating, phase-change cooling architecture enables continuous operation without active cooling components such as fans or pumps. By eliminating mechanically driven cooling elements, this design reduces maintenance requirements and supports stable AI inference over extended operating periods. The ThermoSiphon™ platform is intended for long-term stationary deployments across industrial automation and military and defence environments, where thermal stability, system reliability, and continuous uptime are critical. World-Leading Lightweight Edge AI for Autonomous Mobility Also featured is the IBOX-604-G2, positioned as a world-leading lightweight compact Edge AI system, about 0.3kg only, purpose-built for autonomous mobility in transportation systems and mobile defence applications. Powered by NVIDIA® Jetson™ platforms, the IBOX-604-G2 enables AI inference directly on autonomous vehicles, unmanned systems, and mobile robotic platforms, where size, weight, and power efficiency are key constraints. By processing sensor and vision...
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