Published in AI

Aetina builds edge AI computer

by on08 September 2020

With Nividia Jetson Xavier NX inside

Aetina has built a new AN810-XNX edge AI computer using Nvidia’s Jetson Xavier NX.

The AI computer provided various alternatives of I/O slot, nicely expands its range of edge AI systems built on the Jetson platform for robotics, drone, UAV, industrial inspection, medical imaging, and deep learning.

The AN810-XNX combines the Nvidia Jetson Xavier NX and Aetina brand new AN810 carrier board in a Nano-ITX form factor. It supports full M.2 slot with M-key, E-key, and B-key and the interface with PCIe/SATA/USB 3.2 Gen2/USB 2.0. AN810-XNX features prospective communication capabilities.

5G has accelerated IoT applications, and the company says the AN810-XNX is integrated with the 4G/5G module beforehand for high-speed wireless connection and data transferring.

Meanwhile, AN810-XNX equipped an onboard SIM slot, building seamless global connectivity for edge devices. For better management of numerous edge devices, AN810-XNX supports the Innodisk InnoAGE out-of-band management SSD solution through M.2.

The idea is that it can reduce the cost of manually repairing the edge device and minimise the equipment's downtime, making the remote-control of the edge device more convenient.

With widespread use of vision AI application, AN810-XNX supports single 120-pin connector for MIPI CSI-2 interface. It can handle intensive AI workloads ultra-high-resolution cameras to more accurate image analysis. For backup, Aetina offers BSP and DTB configuration updates for standard and customised platforms in their service policy.

Aetina focuses on delivering edge AI computing solutions based on the Jetson platform for embedded applications. Nvidia Jetson benefits the users by supporting cloud-native technologies across AI solutions and various SDK.

Aetina AN810-XNX is Microsoft Azure Certified for Internet of Things (IoT), ensuring the IoT solutions could fasten development and work with Microsoft Azure IoT services.

Joe Lo, general manager of Aetina said: "AIoT environment is diverse and complex. Throughout the edge AI systems, GPU-based platform has the most flexibility and Azure cloud services enhance the overall performance. Benefits the customer with shorter development period. The  AN810-XNX, high compatibility platform with well-backup service from edge to cloud, could deploy high-quality, software-defined features on embedded and edge devices."


Last modified on 09 September 2020
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