en.Wedoany.com Reported - Advantech announced that its MIC-735 edge AI platform has been validated by the NVIDIA Halos AI System Inspection Lab, becoming one of the first platforms to comply with NVIDIA's safety-oriented Physical AI framework.
As Physical AI technology expands into humanoid robots, autonomous mobile robots, autonomous machines, and intelligent systems operating in real-world environments, the demand for functional safety, deterministic operation, and compliance with international standards continues to rise. The NVIDIA Halos AI System Inspection Lab certification program provides a structured framework for evaluating system-level safety design and supports alignment with major international functional safety standards. Through this validation process, the MIC-735 confirms compatibility with key safety frameworks such as IEC 61508 and ISO 13849, thereby helping customers streamline safety-related development processes and reduce downstream certification efforts.
Functional safety is fundamental for deploying Physical AI systems in robotics and industrial environments, where machines must reliably operate and interact under unpredictable real-world conditions. By aligning with the NVIDIA Halos AI Lab framework, the MIC-735 leverages the NVIDIA IGX platform with functional safety capabilities, making it an integral part of a safety-oriented ecosystem for Physical AI workloads. Based on the NVIDIA IGX Thor T5000 platform architecture, the MIC-735 enhances system-level safety by integrating onboard and external sensor data. This design establishes a coordinated safety and control framework for Physical AI systems, enabling external safety signals to be reliably processed within the system architecture, thereby supporting real-time risk mitigation in robotics and industrial automation.
In addition to hardware design, the MIC-735 offers up to 10 years of lifecycle support and is compatible with the NVIDIA AI Enterprise-IGX software stack. Customers can leverage NVIDIA NIM microservices, the NVIDIA Isaac open-source robotics development platform's foundation model libraries and frameworks, NVIDIA Metropolis for vision AI acceleration, and integrate the NVIDIA Holoscan platform, including the NVIDIA Holoscan Sensor Bridge technology for real-time perception, enabling high-bandwidth synchronous communication between multiple sensors and AI processors. The platform is designed for complex dynamic environments requiring real-time safety mechanisms, including certified emergency stop functionality based on safety IP networks. Fleet-level commands can be executed through ecosystem components such as endpoint controllers, while the wireless emergency stop professional version supports local control and emergency intervention for individual AMRs.
Advantech stated that the MIC-735 is the industry's first NVIDIA-certified, deployment-ready system using the NVIDIA IGX Thor. NVIDIA-certified systems represent standard requirements for platform performance, safety, scalability, and software integration. Through rigorous evaluation, the MIC-735 has officially received NVIDIA certification as a deployable AI platform, helping to reduce deployment time and minimize integration resistance. The platform can be used for next-generation robotics, vision AI, and critical medical applications.
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