Delivering Data Center-Level Performance for Intelligent Edge Computing.

Vecow invites you to explore the latest breakthroughs in AI-accelerated edge computing at Vision China Shanghai 2025. Join us from March 26–28 at Hall W5, Booth #5713, to experience cutting-edge innovations in AI-powered platforms, Robot Vision, and Mobile Robotics.

Vecow will present the latest rugged Edge AI computing platform and solution services for AI Robot, smart agriculture, public safety and industrial applications at GTC 2025 (3/17 - 21).

This partnership provides a performance driven and high power productivity solution with Vecow ECX-3100 RAG and Neuchips RecAccel™ N3000 Series AI accelerator serving blooming Generative AI applications at the Edge.

The NAC-1000, powered by NVIDIA Jetson AGX Orin system-on-module and NVIDIA Isaac Perceptor, redefines robotics development at the edge.

Vecow invites you to Embedded World 2025 (March 11-13) to experience the latest in AI-accelerated Edge Computing solutions. Visit us at Hall 3, Booth #3-449 to explore groundbreaking innovations in Edge AI, Mobile Robotics, Spatial AI, Advanced Thermal Solutions, and Generative AI.

The ECX-4000 series delivers powerful AI capabilities, industrial-grade durability, and comprehensive connectivity edge computing applications across In-vehicle Computing, Intelligent Logistics, and Public Security.

Vecow will showcase the Advanced Robot Computing Platform for the robot market at Edge Tech+ 2024 from November 20 to 22, 2024. Vecow cordially invites you to visit us at booth #AF-04, Hall A of PACIFICO YOKOHAMA, Japan.

Vecow x86 embedded systems, including EVS-3000, ICS-1000, ICS-1100S, and RCX-3000 PEG, now integrate Allxon’s remote management functions, offering rapid recovery, enhanced security, and improved cost efficiency to edge AI applications.

Vecow will showcase the Advanced Robot Computing Platform for the robot market at RobotWorld Korea 2024 from October 23 to 26, 2024. Vecow cordially invites you to visit us at booth #A06, Hall 2 of Kintex 1.