Overview
The EC5000 is a high-performance AI Edge Computer series powered by NVIDIA Jetson modules, designed for industrial AIoT and machine vision applications. The EC5350 features the NVIDIA Jetson Orin Nano 8GB module with 67 TOPS AI performance, while the EC5550 leverages the Jetson Orin NX 16GB module delivering 157 TOPS. Both variants share a rich industrial I/O interface including GMSL2.0 camera inputs, PoE-enabled Gigabit Ethernet, dual SIM cellular connectivity, and comprehensive edge AI deployment capabilities—making them ideal for autonomous systems, smart manufacturing, and intelligent surveillance.
Powerful AI Computing at the Edge
The EC5000 series harnesses NVIDIA Jetson Orin technology for industrial edge AI. The EC5350 features the Jetson Orin Nano 8GB with a 6-core ARM Cortex-A78AE CPU at 1.5GHz, delivering 67 TOPS AI inference performance. The EC5550 upgrades to the Jetson Orin NX 16GB with an 8-core ARM Cortex-A78AE CPU at 2.0GHz, achieving 157 TOPS—2.3× the AI compute for demanding deep learning workloads. Both integrate a 1024-core NVIDIA Ampere GPU with 32 Tensor Cores, enabling real-time video analytics, object detection, and neural network inference at the edge.
Seamless Edge AI Deployment
The EC5000 runs Linux with NVIDIA JetPack 5.1+ support and full Docker containerization, enabling rapid deployment of AI models and edge applications. Built-in InHand DeviceLive cloud management provides remote monitoring, batch configuration, and over-the-air firmware updates. The platform supports mainstream AI frameworks including TensorRT, PyTorch, and ONNX Runtime, accelerating time-to-deployment for computer vision, predictive maintenance, and intelligent inspection applications.
Rich Industrial Interfaces for AIoT
The EC5000 offers comprehensive connectivity for industrial AI scenarios: 2× 10/100/1000Mbps Ethernet ports with PoE PSE (IEEE 802.3af, 15W per port), 2× RS-232/485/422 configurable serial ports (DB9), 4× DI / 4× DO, 1× CAN FD, 6× USB 3.2 Gen 2, 1× OTG Type-C, 1× HDMI 2.0 (4K@60Hz), and 2× GMSL2.0 with FAKRA connectors for high-speed automotive-grade camera input. Expansion slots include M.2 B-Key (5G/4G), M.2 E-Key 2230 (Wi-Fi/BT), and M.2 M-Key 2280 (NVMe SSD up to 2TB).
Enterprise-Grade Security
The EC5000 ensures complete security protection for edge AI deployments. An integrated TPM 2.0 chip provides hardware-rooted trust, while Secure Boot prevents unauthorized firmware and malware injection. Linux security patch management and vulnerability remediation services maintain system integrity over time. These features protect AI models, inference data, and sensitive industrial information from edge to cloud.
Uninterrupted Connectivity
Experience guaranteed device interconnection with dual SIM slots supporting seamless failover between cellular networks. The EC5000 offers Global 5G NR, 4G LTE CAT6, or Ethernet-only variants, combined with dual-band Wi-Fi 5 (802.11ac) and Bluetooth 5.0 via M.2 E-Key module. Gigabit Ethernet ports with PoE PSE power and connect edge devices—cameras, sensors, and APs—over a single cable, simplifying deployment.
Fully Industrial-Grade Design
Featuring a fully industrial-grade design, the EC5000 withstands harsh deployment environments. It meets EMC Level 3 standards, boasts an IP30 metal housing, and operates smoothly within a wide temperature range of -20°C to +60°C. The 9~36V DC power input with polarity reversal protection ensures reliable operation in industrial sites with unstable power. DIN rail mounting comes standard, with wall mounting available as an option.
Cloud-Native Device Management
InHand DeviceLive enables zero-touch deployment and centralized management of distributed AI edge devices. Monitor device health, GPU utilization, AI inference metrics, and push configuration updates across thousands of units from a single cloud dashboard. Container management supports remote deployment and orchestration of Docker workloads, allowing teams to update AI models without field visits.
Product Compare
| AI Edge Computer |
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| Model | EC5350 | EC5550 |
| NVIDIA Module | Jetson Orin Nano 8GB | Jetson Orin NX 16GB |
| CPU | 6-core Cortex-A78AE @ 1.5GHz | 8-core Cortex-A78AE @ 2.0GHz |
| GPU | 1024-core Ampere, 32 Tensor Cores | 1024-core Ampere, 32 Tensor Cores |
| AI Performance | 67 TOPS | 157 TOPS |
| RAM | 8 GB | 16 GB |
| Storage | 128 GB NVMe SSD | 128 GB NVMe SSD |
| TDP | Up to 15W | Up to 25W |
| EtherNet Port | 2× 10/100/1000Mbps with PoE PSE | 2× 10/100/1000Mbps with PoE PSE |
| Serial Port | 2× RS-232/485/422 (DB9, configurable) | 2× RS-232/485/422 (DB9, configurable) |
| GMSL2.0 Camera | 2-ch with FAKRA | 2-ch with FAKRA |
| CAN | 1× CAN FD | 1× CAN FD |
| Digital I/O | 4× DI, 4× DO | 4× DI, 4× DO |
| USB | 6× USB 3.2 Gen 2 + 1× OTG Type-C | 6× USB 3.2 Gen 2 + 1× OTG Type-C |
| Wi-Fi / Bluetooth | 802.11ac + BLE 5.0 (M.2 E-Key) | 802.11ac + BLE 5.0 (M.2 E-Key) |
| Cellular Options | 5G NR / 4G CAT6 / No Cellular | 5G NR / 4G CAT6 / No Cellular |
| SIM Card | 2× Standard SIM | 2× Standard SIM |
| Dimensions | 180 × 160 × 60 mm | 180 × 160 × 60 mm |
