Accelerated by the NVIDIA Jetson Thor module, the Advantech MIC-742-AT delivers up to 2,070 FP4 TFLOPS AI performance with 128GB high-bandwidth LPDDR5X memory. Designed for industrial-grade reliability, it offers a total system power consumption of just 150W, wide operating temperature support from -10°C to 60°C, and a compact form factor for space-constrained deployments. The platform also features 8-channel GMSL 2.0 support, enabling high-speed, low-latency sensor connectivity for advanced perception systems. These capabilities make it ideal for humanoid robots, autonomous mobile robots (AMRs), surgical robotics, and other high-performance edge AI applications.

Aligning with the industry trend toward sensor standardization and Ethernet packet-based transmission, Advantech is adopting the NVIDIA Holoscan platform with NVIDIA GPUDirect RDMA, allowing sensor data to stream directly into GPU memory—bypassing CPU bottlenecks and reducing latency—to accelerate AI inference and real-time decision-making. For developers requiring real-time multimodal sensor synchronization, Advantech offers optional MIC-FG-HSBA1, powered by the Holoscan Sensor Bridge, and EKI-2712X-SPE switch accessories. These enable low-latency, high-bandwidth, and sub-millisecond alignment of data from multiple sensors—such as stereo cameras, LiDAR, radar, ultrasound, and IMUs—ensuring AI models operate on precisely timed, multimodal data for more reliable perception and decision-making in robotics.