Aetina launches compact Jetson Orin edge AI systems for vision applications

The platforms support dual Power-over-Ethernet (PoE) cameras for image acquisition and edge-based processing.

NEW TAIPEI CITY, Taiwan - Aetina in New Taipei City, Taiwan, has introduced a new family of compact edge artificial intelligence (AI) systems based on NVIDIA Jetson Orin modules, targeting vision AI and generative AI applications in industrial environments where space, power consumption, and reliability are critical considerations.

The new Mini Series includes the AIE-CO23/33-S1, AIE-CN33/43-A1, AIB-MO23/33-S1, and AIB-MN33/43-S1 platforms. The systems are powered by NVIDIA Jetson Orin Nano with Super Mode and NVIDIA Jetson Orin NX modules and are designed to support AI inference at the edge for applications such as machine vision, industrial automation, and intelligent monitoring.

The fanless AIE-CO23/33-S1 and AIE-CN33/43-A1 systems feature a 132 mm x 91.5 mm x 68.5 mm form factor and deliver up to 100 TOPS of AI performance. The platforms support dual Power-over-Ethernet (PoE) cameras for image acquisition and edge-based processing.

For installations with tighter space constraints, the AIB-MO23/33-S1 and AIB-MN33/43-S1 provide a thinner 127 mm x 85.75 mm x 28.45 mm design and deliver up to 157 TOPS of AI processing performance. These systems support dual MIPI or PoE camera configurations.

The Mini Series supports wired and wireless connectivity through M.2 expansion options, including LTE, 4G/5G, Wi-Fi, and Bluetooth. The systems also incorporate NVMe storage and a range of I/O interfaces intended to connect directly with cameras, sensors, and other field devices.

According to the company, the platforms are designed for deployment in industrial and edge environments where traditional high-power computing systems may be impractical. The systems feature a fanless architecture, support 12-24 VDC input power, and are rated for operation in temperatures ranging from -25°C to +55°C.

The launch reflects growing demand for compact edge computing platforms that can run AI workloads locally, reducing latency and bandwidth requirements by processing sensor and camera data closer to the point of collection.

For more information, please visit https://www.aetina.com.