Vecow Expands EAC-7000 Platform for Physical AI Robotics

As physical AI robotics move from controlled environments into real-world deployment, edge computing platforms must combine deterministic performance, sensor scalability, and industrial reliability. Vecow has expanded its EAC-7000 Edge AI Computer Series with a new variant designed to address these requirements, positioning the platform as a deployable building block for autonomous and robotic systems operating at the edge.

The newly introduced EAC-7000-T4000 is built on the NVIDIA Jetson T4000 module, extending the existing EAC-7000 architecture while maintaining compatibility with higher-performance NVIDIA Jetson T5000 options. This modular approach allows system designers to scale compute performance according to application needs, balancing power efficiency, AI throughput, and system integration constraints across different robotic platforms.

Scalable edge compute for real-time robotics
The EAC-7000 series is designed to support deterministic AI workloads at the edge, including perception, planning, and motion control. With support for NVIDIA Jetson T4000 modules delivering up to 1,200 FP4 TFLOPS and Jetson T5000 modules reaching up to 2,070 FP4 TFLOPS, the platform enables engineers to deploy a common hardware architecture across multiple performance tiers.

This scalability supports physical AI use cases ranging from autonomous mobile robots and automated guided vehicles to more complex robotic systems requiring higher inference density and real-time responsiveness.

High-density sensor integration and low-latency processing
Sensor integration is a core design focus of the EAC-7000 platform. The system supports up to 16 GMSL automotive cameras via Fakra-Z connectors, enabling high-bandwidth, low-latency data acquisition for vision-based navigation, inspection, and perception tasks. This makes the platform suitable for sensor-intensive robotics environments where synchronized multi-camera input is critical.

On the software side, the platform runs NVIDIA JetPack 7.0 and supports NVIDIA Isaac for robotics development alongside NVIDIA Holoscan for real-time sensor processing. Holoscan readiness allows efficient sensor fusion and data orchestration in latency-sensitive AI pipelines, addressing the demands of real-time, multi-modal workloads.

From edge hardware to robotics solutions
With the EAC-7000-T4000, Vecow continues its transition from supplying standalone embedded systems toward enabling complete physical AI solutions. The platform is positioned as a foundational compute element that can be integrated into broader robotic architectures, supporting long-term scalability and system reuse across projects.

By combining modular AI compute options, high-density sensor support, and industrial-grade design, the expanded EAC-7000 series addresses the practical requirements of deploying physical AI systems beyond the laboratory and into operational environments.

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