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The Right Solution for Your AI Project

AIR-020 AI Inference Systems with NVIDIA Jetson Family

Advantech AIR-020 series feature NVIDIA Jetson family modules, a small footprint, and robust design. They are an excellent choice for diverse edge AI applications in defect inspection, autonomous robots, traffic monitoring, medical imaging, and smart retail.

Scalable AI Performance with NVIDIA
Jetson Family

Utilizing NVIDIA Jetson Xavier NX, Jetson TX2 NX, and Jetson Nano, Advantech’s AIR-020 series provides powerful AI inferencing capabilities. Customers can choose a solution that meets AI project development demands.

Robust I/Os and Connections

Diverse AI projects and applications require equally diverse peripheral connections. To enhance applicability, Advantech’s AIR-020 series is equipped with extensive I/O ports for seamless camera, wireless, storage, and multifunction module connection.

Supports four to six cameras
Supports up to 2TB M.2 2280 storage, default with 128GB built-in.
Supports full-size mPCIe slot for Wi-Fi connectivity

Small Footprint, Easy Installation

Featuring a small footprint design of just 139 x 110 x 44.5 mm (5.4 x 4.3 x 1.75 in), AIR-020 integrates into machines and cabinets easily. In addition, the series supports wall mounting to accommodate AI applications.

Fast AI Deployment with Advantech Edge AI Suite and NVIDIA JetPack SDK

AIR-020 series comes bundled with Ubuntu 18.04, Advantech Edge AI Suite, and NVIDIA Jetpack SDK 4.5.1 — enabling developers to create and deploy AI applications. This series is ideal for computer-intensive embedded applications at the edge.

For Beginners

Advantech Edge AI Suite, a vision AI repository utility, can lead you to instant experience through a friendly GUI and provides a no-code journey for AI inference demonstration, benchmarks, and system monitoring. You can either take a video or connect a webcam for vision AI inference input, to realize a preliminary proof of concept.

For AI Engineers

JetPack SDK features comprehensive toolchains and ready-to-use AI models that support application development and integration. It includes Linux Driver Package (L4T) and CUDA-X accelerated libraries and APIs for deep learning, computer vision, accelerated computing, and multimedia. It also includes developer tools for both host computer and developer kits.