Vecow Launches MIG-1000 AI Computing System for AIoT/Industry 4.0 Applications

By Tiera Oliver

Associate Editor

Embedded Computing Design

April 05, 2021

News

Vecow Launches MIG-1000 AI Computing System for AIoT/Industry 4.0 Applications

Vecow announced the latest AI Computing System MIG-1000.

Integrating Ryzen embedded V1807B APU and NVIDIA Tesla/Quadro/GeForce/AMD Radeon Graphics, Vecow MIG-1000 delivers suitable computing and graphics performance. This system also features a smart power budget technology to accelerate AI computing deployment, making it an ideal solution for autonomous vehicles, medical imaging, smart manufacturing, deep learning, gaming, traffic vision and AIoT/Industry 4.0 applications.

Powered by AMD Ryzen Embedded V1807B APU, Vecow MIG-1000 demonstrates a new choice of an AMD-based embedded system for AI application deployments. Paired with AMD Radeon Vega 11 Graphics, MIG-1000 supports up to 4K resolution at 60fps on 4 DisplayPort displays and provides 3D graphics quality. Per the company, by bringing together AMD "Zen" Core architecture and AMD "Vega" graphics architecture in a single chip, MIG-1000 brings benefits of simplifying users' configurations and provides more graphics power.

This compact AI Computing engine is measured at 162.6mmx203.6mmx385. It features 2 GigE LAN, 1 SSD Tray, 2 USB 3.1, 2 COM, and PCIe x16 expansion that supports up to 750W power budget for advanced graphics computing performance.

For more information, visit: http://www.vecow.com/dispPageBox/vecow/VecowCT.aspx?ddsPageID=PRODUCTDTL_EN&dbid=4111169917

 

Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

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