BOXER-8220AI Leverages NVIDIA Jetson Nano for AI at the Edge

By Perry Cohen

Associate Editor

Embedded Computing Design

November 27, 2019

Product

BOXER-8220AI Leverages NVIDIA Jetson Nano for AI at the Edge

AAEON, a developer of AI edge computing platforms, announced the release of BOXER-8220AI box PC powered by NVIDIA Jetson Nano.

AAEON, a developer of AI edge computing platforms, announced the release of BOXER-8220AI box PC powered by NVIDIA Jetson Nano. The NVIDIA Jetson Nano is the latest in edge computing technology from NVIDIA.

The Jetson Nano SoC combines the quad-core ARM Cortex-A57 MPCore processor with NVIDIA Maxwell GPU architecture featuring 128 NVIDIA CUDA cores. This design allows processing speeds up to 472 GFLOPs and is capable of operating multiple neural networks or processing several high-resolution images at the same time. The NVIDIA Jetson Nano also provides the BOXER-8220AI with 4GB RAM and 16 GB eMMC storage.

With the NVIDIA Jetson Nano, the BOXER-8220AI is able to provide performance and price suitable for entry to mid-level deployment of AI and edge computing applications, according to the company. With five Gigabit Ethernet ports, the BOXER-8220AI supports up to five input cameras or sensors, and four USB 3.0 ports allow even greater flexibility to integrate with projects. The BOXER-8220AI is designed with AAEON’s dedication to providing rugged embedded PCs for industrial use.

Its fanless design promotes long reliable operation, preventing dust or other contaminants from interfering with components. The BOXER-8220AI thermal design also allows the system to operate in temperatures from -20°C up to 60°C. As with all AAEON solutions, the BOXER-8220AI is backed by AAEON support, including AAEON OEM/ODM and Manufacturer services.