NVIDIA Jetson Thor Embedded AI platform is an enormous advancement in embedded computing and edge intelligence in real-time. Jetson Thor, powered by the most recent architecture by NVIDIA, provides a second-tier performance in AI with great energy efficiency, thus being applicable in advanced applications like autonomous machines, industrial robotics, and intelligent image analytics.
The Vecow EAC-7000 series, which makes Jetson Thor accessible to rugged industry environments, is among the earliest systems to include this technology. Designed to handle challenging edge AI workloads, it can handle complicated workloads such as multi-sensor fusion, 3D vision, and generative AI processing–all without needing a fan. The EAC-7000 is a high performer that integrates great durability, thus it is best suited to be embedded in factories, vehicles, and outdoor robotics.
Vecow EAC-7000 series Specifications:
The Vecow EAC-7000 line is based on the NVIDIA Jetson T5000, which combines a 14-core Arm Neoverse V3AE CPU and a next-generation NVIDIA Blackwell graphics card that can support up to 2,070 FP4 TFLOPS of AI compute. This is a high-power device with an outstanding ability to compute in real-time and perform computer vision and deep learning on the edge. The embedded system is capable of supporting up to 128GB of memory; therefore it allows easy processing of high throughput sensor and camera data, with efficient power consumption to allow round-the-clock application in industrial settings.
For connectivity, the EAC-7000 offers a range of high-speed interfaces including 10 Gigabit Ethernet, 2.5 Gigabit Ethernet, and four Gigabit Ethernet ports with PoE+ support. It also provides M.2 expansion slots for NVMe storage and wireless modules, supporting 5G, LTE, Wi-Fi, and Bluetooth communication. The system includes four isolated CAN-FD ports, two serial COM interfaces (RS-232/422/485), and a 16-bit isolated digital I/O (8 DI, 8 DO), offering flexibility for diverse automation and robotics applications. It supports up to 16 GMSL1/2 cameras through Fakra-Z connectors, enabling multi-camera AI vision and sensor fusion for intelligent navigation and real-time perception.
The EAC-7000 is constructed to be dependable and thus has a fanless and rugged design that will not become unstable under adverse conditions. It has a broad temperature of operation of -20°C to +70°C and 9V to 50 V DC input, which means it can be used in inhospitable industrial and outdoor applications. The system meets the MIL-STD-810G requirements of shock and vibration-resistance, making it reliable when operated in vehicles, robotics platforms and field equipment. The Vecow EAC-7000 offers a scalable and future-ready platform with optional remote management support by Allxon to support edge AI applications based on the NVIDIA Jetson Thor Embedded AI architecture and a variety of model variants.
The Vecow EAC-7000 series runs on Ubuntu Linux with NVIDIA’s JetPack SDK, which includes CUDA, TensorRT, and other AI development tools. It supports frameworks such as PyTorch, TensorFlow, and ONNX Runtime, allowing developers to train and deploy AI models at the edge. Additionally, the platform integrates Isaac Perceptor and Isaac ROS for robotics applications, along with NVIDIA Holoscan for real-time sensor data processing. Its ability to handle large language and vision models makes it suitable for next-generation AI-driven automation systems.
Previously, we covered the NVIDIA Jetson Thor Developer Kit featuring the T5000 module and the Connect Tech Gauntlet Carrier Board. This time, we are highlighting embedded AI industrial systems for the first time. Feel free to explore these products if you are interested in high-performance edge AI solutions..
Vecow EAC-7000 series is sold by official sales partners and authorized industrial distributors of Vecow. Pricing is based on configuration, the connection options and system specifications. The interested customers have the option of obtaining an individual quotation with Vecow or its distributors, depending on their project needs. Although the price per single unit will depend, an example of the Jetson Thor developer kit offered by NVIDIA costs approximately $3,499 and can serve as a reference point to calculate the total system cost.
Niladri Chowdhury