Vecow EAC-7000 Series: Rugged NVIDIA Jetson T5000 Embedded AI Systems
High-performance edge AI platform for robotics, industrial automation, and real-time vision, featuring Jetson T5000, multi-camera support, and robust connectivity.
Vecow EAC-7000 series embedded systems
The NVIDIA Jetson Embedded AI platform delivers high-performance AI and deep-learning capabilities directly at the edge, powering real-time applications such as robotics, autonomous machines, industrial automation, and intelligent vision analytics. With Jetson modules deployed inside rugged systems, developers can process sensor fusion, video analytics, and even generative AI locally — eliminating cloud latency and bandwidth dependency.
A strong example is Vecow’s EAC-7000 series, which integrates the NVIDIA Jetson T5000 module and delivers up to 2,070 FP4 TFLOPS for demanding industrial workloads. This reflects the growing shift toward “physical AI,” where intelligence runs inside machines and sensors themselves, moving AI beyond datacenters and into operational environments at the edge.
Vecow EAC-7000 series embedded systems back side
Vecow EAC-7000 series Specifications:
- NVIDIA Jetson T5000 AI platform:
- 14-core Arm Neoverse V3AE 64-bit safety-ready CPU
- Blackwell GPU with 2,650 CUDA cores + 96x 5th-gen Tensor Cores (FP4 / FP8 / FP16 / INT8)
- Up to 256-bit LPDDR5X high-bandwidth memory
- Storage and expansion:
- 1x M.2 Key M (2280) — PCIe Gen4 x4 NVMe SSD
- 2x M.2 Key B (3042/3052/2280) — PCIe x2 / USB 3.0 / dual SIM
- 1x M.2 Key E (2230/3042) — PCIe x1 / USB 2.0 / UART
- 2x Nano-SIM — 5G / LTE redundancy / failover
- Display / video:
- 2x HDMI — up to 8K @ 30 Hz (7680 x 4320)
- Encode: up to 6x 4K@60 fps / 24x 1080p@60 (H.265)
- Decode: up to 4x 8K@30 / 10x 4K@60 / 46x 1080p@60
- Camera interfaces:
- EAC-7100: 8x Fakra-Z — GMSL 1 and 2 automotive cameras
- EAC-7200: 4x mini-Fakra, 16 total lanes
- I/O connectivity:
- 4x USB 3.1 Type-A + 2x USB Type-C (debug + flashing)
- 2x RS-232/422/485 selectable serial ports
- 4x isolated CAN-FD + 16x isolated digital I/O (8 DI / 8 DO)
- 8x antenna cutouts — 5G / LTE / Wi-Fi 7 / LoRa / GNSS
- Networking:
- 2x 2.5GbE (Intel i226)
- Optional 2x 10GbE (Marvell x3610, EAC-7200/7400 only)
- PoE+ models (EAC-7300/7400) — up to 25.5 W per port, 60 W total
- Optional M12 X-coded rugged Ethernet for railway/AGV
- Power / vehicle support:
- 9–50 V DC input (EV / truck / industrial-grade)
- 16-mode software ignition control
- 3-pin remote power switch
- Optional modules:
- 6-axis IMU, 3-axis magnetometer, altimeter (I²C)
- TPM 2.0 (STMicro ST33KTPM2I)
- Out-of-band BMC (Nuvoton NUC980)
- Mechanical:
- 260 x 215 x 88 mm metal enclosure (wall-mount)
- weight: 5.5 kg
- Operational Temperature:
- Fanless: -20 °C to 45 °C (77 W TDP)
- With fan: up to 70 °C / 50 °C (model dependent)
- MIL-STD-810H shock/vibration + EN50155 / EN50121 railway
- 5–95 % humidity, non-condensing
High-speed edge AI connectivity with rugged, robotics-ready industrial reliability
The Jetson Embedded AI platform runs on Ubuntu Linux and leverages the NVIDIA JetPack SDK, which integrates CUDA, cuDNN, TensorRT, and developer tools for deep learning inference and model optimization, with support for AI frameworks such as PyTorch, TensorFlow, and ONNX Runtime on platforms like Vecow’s EAC-7000. For robotics and sensor-fusion applications, it also includes ISAAC ROS and Holoscan sensor-bridge support, enabling real-time multi-camera, LiDAR, and generative AI workflows at the edge.
Previously, we covered several Embedded AI platforms, including the miriac AIP-LX2160A dev kit, DepthAI, and Sipeed M1. Feel free to check them out if you’re interested in similar platforms.
Advanced Integration for Cutting-Edge AI Robots
The Vecow EAC-7000 series is available through official sales partners and authorized industrial distributors. Pricing varies depending on system configuration, connectivity options, and specifications. Interested customers can request a personalized quotation from Vecow or its distributors based on their project requirements. As a reference, the NVIDIA Jetson Thor developer kit is priced at approximately $3,499 per unit, which can help estimate the total system cost.
Dimensions
Images courtesy of Vecow and Electrotrio.
