MSI IPC introduces the MS-C9ZA, a compact fanless Edge AI Box PC powered by NVIDIA Jetson Orin Nano 8 GB for machine vision, robotics, and embedded edge AI applications. It integrates local AI inference, industrial I/O, dual Gigabit Ethernet, M.2 expansion, and 12-24 V DC input. Powered by a 6-core Arm Cortex-A78AE CPU, NVIDIA Ampere GPU, and 8 GB LPDDR5 memory, the MS-C9ZA enables AI inference and computer vision processing at the edge, helping reduce cloud dependency, bandwidth usage, and network latency.

The NVIDIA Jetson Orin Nano 8 GB platform can also support optimized generative AI and Vision AI workloads, including SLMs, quantized LLMs, VLMs, and ViTs, for robotics, machine vision, and intelligent video analytics. Actual model compatibility and performance depend on model size, quantization, memory requirements, runtime, and software configuration. Key features include a 126 × 96 × 74 mm chassis, wide temperature design (-25°C to 60°C), industrial I/O with isolated GPIO, M.2 expansion for NVMe storage, DIN-rail mounting, and TPM 2.0 for hardware-based security.

Suggested applications span robotics (AMRs, robotic vision, obstacle detection), AI machine vision (object detection, defect inspection, assembly verification), industrial edge AI (smart manufacturing, sensor data analytics), and intelligent video systems (people counting, traffic analysis, equipment monitoring). By processing visual and sensor data locally, the MS-C9ZA reduces reliance on cloud infrastructure while accelerating edge AI deployment in space-constrained and demanding environments.