Vecow Launches EAC-7000 Arm-Based Fanless Edge AI Systems

Vecow Co., Ltd., a global leader in embedded systems, announced the launch of its EAC-7000 series, a new line of ultra-performance, Arm-based, fanless edge AI systems built on NVIDIA Jetson Thor. Designed for physical AI applications, the EAC-7000 delivers groundbreaking performance, real-time sensor processing, and rugged industrial reliability—making it ideal for next-generation robotics, autonomous machines, and automated agricultural machinery.




Built on Ultimate AI Platform with NVIDIA Jetson Thor
At the heart of the EAC-7000 series is the Jetson T5000 module, which features a 14-core Arm^® Neoverse™ V3AE CPU and a 2,650-core NVIDIA Blackwell GPU with 5th-gen 96 Tensor Cores. This ultra-performance architecture delivers up to 2,070 FP4 TFLOPS of AI compute and 128GB of memory, offering 7.5× more AI performance and 3.5× greater energy efficiency than its predecessor, Jetson AGX Orin. With support for the full NVIDIA AI software stack—including NVIDIA Isaac™ ROS for robotics, NVIDIA Holoscan platform for low-latency sensor processing, and NVIDIA Metropolis for vision AI—the EAC-7000 is purpose-built for physical AI applications that demand real-time sensor fusion and multi-modal intelligence. It supports the latest generative AI models including LLMs (Large Language Models) and VLMs (Vision-Language Models), enabling edge-native solutions for robotics, smart spaces, and autonomous systems.

Real-Time Intelligence for Connecting Various Cameras and Sensors
To address latency-critical applications, the EAC-7000 integrates NVIDIA Holoscan Sensor Bridge, enabling high-throughput, low-latency Sensordata over ethernet transmission with minimal CPU overhead. This architecture is ideal for synchronized multi-sensor fusion in machine vision, medical imaging, and industrial robotics applications. The system supports up to 16 GMSL1/2 automotive cameras via Fakra-Z or mini-Fakra connectors, along with high-speed interfaces including 10GbE LAN, USB 3.1, and M.2 expansion for storage and wireless communication. Developers can also take advantage of NVIDIA’s agentic AI workflows such as Video Search and Summarization (VSS) to build intelligent, context-aware edge applications.




Industrial-Grade Design for Demanding Environments
Engineered to thrive in harsh environments, the EAC-7000 series offers a wide operating temperature range of -20°C to 70°C (with fan), and MIL-STD-810G compliance for shock and vibration. The fanless, compact design ensures long-term stability for mission-critical deployments in field robotics, mobile platforms, and industrial automation.




Scalable Design for Diverse AI Deployments
Available in five models, from entry-level to feature-rich configurations, the EAC-7000 series features up to 4 PoE+ ports, 16-channel GMSL input, dual SIM slots, and 4 isolated CAN ports, offering exceptional flexibility and seamless integration across diverse edge AI scenarios. These models are optimized for a wide range of use cases, from humanoid robotics and self-driving vehicles to automated agricultural machinery and intelligent surveillance systems.

"We are excited to bring NVIDIA Jetson Thor's incredible AI horsepower to our latest rugged edge platform", said James Chen, Product Manager, Embedded Systems & Platform Division at Vecow. “The EAC-7000 series bridges advanced AI capabilities with field-proven industrial design, giving our customers a production-ready solution to accelerate innovation in physical AI and robotics.”

www.vecow.com