Vecow Expands the EAC-7000 Series Built on NVIDIA Jetson T4000 Variant to Advance Physical AI Robotics
A Growing Edge AI Platform Powered by NVIDIA Jetson Thor

Summary:

  • Launches EAC-7000-T4000, lightweight addition to EAC-7000 series built on NVIDIA Jetson T4000 module.
  • Supports up to 16 GMSL camerasNVIDIA Holoscan-ready real-time sensor processing and runs on NVIDIA JetPack 7.0
  • Reinforces Vecow’s roadmap toward AI robot solution provider, by offering a rugged, scalable edge compute building block.

New Taipei City, Taiwan, January 6, 2026 – Vecow Co., Ltd., a team of global embedded experts, today unveiled the expansion of its EAC-7000 Edge AI Computer Series with a new variant built on NVIDIA Jetson T4000 module, positioning the system as a foundational building block for physical AI robotics and signaling Vecow’s accelerated move toward becoming an AI robot solution provider.

Scalable AI Compute: NVIDIA Jetson T5000 & NVIDIA Jetson T4000 Options
Designed to accelerate the real-world deployment of physical AI robots, the EAC-7000-T4000 converts next-generation AI compute into a rugged, deployable platform for robotics and autonomous machines. By leveraging NVIDIA Jetson Thor, the system delivers deterministic AI performance for perception, decision-making, and motion control at the edge — where reliability and real-time response are critical. As a lightweight extension of the NVIDIA Jetson Thor platform, the EAC-7000-T4000 variant balances between performance, power efficiency, and system integration flexibility. Supporting both NVIDIA Jetson T5000 modules (up to 2,070 FP4 TFLOPS) and NVIDIA Jetson T4000 modules (up to 1,200 FP4 TFLOPS), the series enables customers to choose compute levels matched d to diverse application requirements.

Sensor-Intensive Robotics Solution: NVIDIA Holoscan-Ready and Up to 16 GMSL Cameras
Leveraging the established EAC-7000 series architecture, the system offers rich high-speed I/O expansion and industrial-grade reliability, optimized for AI inference and sensor-intensive workloads. It supports up to 16 GMSL 1/2 automotive cameras via Fakra-Z connectors, making it well suited for AMR, AGV, autonomous robots, and advanced machine vision applications.

On the software side, the EAC-7000 series is built on the powerful NVIDIA JetPack 7.0 SDK and its ecosystem, helping developers drastically reduce development time. The platform supports NVIDIA Isaac platform for robotics development and NVIDIA Holoscan for real-time sensor processing, enabling efficient sensor fusion and robotics orchestration. Its NVIDIA Holoscan-ready design addresses the needs of latency-sensitive, multi-sensor AI workloads.

Advancing Vecow’s AI Robot Solution Roadmap
With the expansion of the EAC-7000 series, Vecow continues to move beyond standalone hardware toward a solution-oriented approach for robotics. The EAC-7000-T4000 serves as a foundational building block in Vecow’s broader roadmap to support scalable, reliable physical AI systems — from autonomous mobile robots and industrial automation to future human-centric robotic platforms.

“The physical AI market is entering a phase where real-world deployment matters more than raw compute,” said Joseph Huang, Executive Vice President at Vecow. “By expanding the EAC-7000 series powered by NVIDIA Jetson Thor, we are helping customers turn advanced AI compute into deployable robotic systems, while steadily advancing Vecow’s role as an AI robot solution provider.”

To learn more about Vecow’s edge AI computing system built on NVIDIA Jetson T4000, please visit the EAC-7000 product web page for additional details. Or discover more about Vecow AI Robot Solution.