Aetina Corporation
Xizhi Dist., New Taipei City 221 [email protected]
+886-2-7709 2568
https://www.aetina.com/

Fibocom and Aetina Collaborate to Bring 5G Release 16 Capabilities to AI Edge Computer Based on NVIDIA® Jetson Xavier™ NX - News
June 23, 2022Fibocom announced a collaboration with Aetina Corporation during Embedded World 2022. The joint effort aims to bring high-speed, ultra-reliable and low-latency 5G capacities, enabled by Fibocom’s 5G R16-compliant module FM160-EAU, to Aetina’s AN810-XNX AI edge computing platform, empowering robotics, UAV, industrial IoT, smart healthcare and more.
Aetina DeviceEdge Mini Series (M1 & M2 & M3) - Product
June 16, 2022Small-sized edge AI computing platform (box-shaped) to run AI inference tasks (AI visual focused)
Aetina Launches New Series of Edge AI Solution - DeviceEdge Mini - Press Release
June 25, 2021Aetina Mini Seris Provide Multiple Layouts for AI-Specific Fields and Flexibly Support for the NVIDIA Jetson Edge AI Platform
Aetina Releases Rugged VPX Board V3T5000-WRC & V3T3000-QRC - News
May 27, 2021Aetina Corporation announced the new series of rugged VPX boards powered by Quadro RTX GPU.
Industrial
Boost AI Capabilities at the Edge Using AIM - Video
April 09, 2021The Aetina Intelligent Management (AIM) framework simplifies the design and deployment of an AI platform that’s destined to reside at the Edge of the industrial IoT (IIoT). Based on NVIDIA Jetson GPU, AIM can handle the compute-intensive demands that are sure to come.
Take Shopping to New Heights with AIoT at the Edge - Story
April 09, 2021The concept of “shopping” in a brick-and-mortar establishment hasn’t changed much in the last 100 or so years. The means of payment has changed greatly over time, but until recently, the shopping experience has remained mostly the same—you go into the store, pick out the merchandise you’d like to buy, and go up to the register and make the payment.
Aetina Announces NGC-Ready SuperEdge AI Inference Platform - Press Release
March 02, 2021Verified hardware and software accelerates machine learning training.