EC5350
High-Performance
AI Edge Inference Computer
EC5350 is a 67 TOPS AI edge inference computer powered by NVIDIA Jetson Orin Nano, built for industrial deployments with rich I/O, flexible expansion, and cloud management.
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Ultra-High-Performance Industrial AI Edge Inference Platform
Supports the Jetson Orin Nano module to meet moderate AI computing requirements.
Powerful AI inference performance
Delivers up to 67 TOPS AI performance for advanced edge intelligence.
Provides interfaces including PoE, Ethernet, serial ports, CAN, USB, HDMI, and DI/DO.
Supports 5G/4G, Ethernet, and Wi-Fi with multi-link redundancy.
Fanless design with industrial EMC compliance and wide temperature support.
Integrated with DeviceLive for remote device and AI application management.
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Core Technical Specifications
AI Module Jetson Orin Nano 8GB / Orin NX 16GBAI Performance Up to 40 TOPS (EC5350) / 100 TOPS (EC5550)Cellular Network 5G NR / LTE Cat6 (model-dependent)Cloud Management DeviceLive cloud parameter, container, app, and firmware lifecycle managementData Acquisition Modbus RTU/TCP, EtherNet/IP, OPC UA, DNP3.0, IEC 61850-MMS, BACnet, CNCInterfaces 2×GE, 2×RS-232/485/422, DI/DO, CAN FD, USB3.2, HDMI, audio, GMSL2Network Features Dual SIM backup, multi-level link detection, auto-redialOpen Platform Linux (JetPack 5.1 and above)Power Input 9~36V DC, polarity reversal protectionProtection Rating IP30Seguridad TPM2.0, Secure BootStorage Built-in 128GB NVMe, Micro SD support
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Hardware Platform
CPU EC5350: ARM Cortex-A78AE, 6 cores, TDP up to 15 W, 1.5 GHz; EC5550: ARM Cortex-A78AE CPU, 8 cores, TDP up to 25 W, 2 GHzFLASH 1 x M.2 NVMe M-Key 2280 (128GB built-in)GPU 1024-core NVIDIA Ampere GPU with 32 Tensor CoresNPU AI acceleration up to 40 TOPS (EC5350) / 100 TOPS (EC5550)RAM 8GB (EC5350) / 16GB (EC5550)
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Connectivity & Interfaces
Audio 3.5 mm type line-outBluetooth BLE5.0Buttons 1×Recovery Button, 1×Reset ButtonCAN 1×CAN FDEthernet Ports 2×10/100/1000Mbps, PoE PSE 15W per portExpansion Interfaces 1×M.2 B-Key (LTE/5G) 1×M.2 E-Key (Wi-Fi/BT)M.2 NVMe M-Key 2280GMSL 2-channel GMSL2.0 (FAKRA)GPS Supported (cellular module required)HDMI 1×HDMI2.0 (up to 3840×2160@60Hz)I/O Ports 4×DI + 4×DOLED Indicators 1×Power, 1×Status, 4×UserMIC 3.5 mm microphone audio jackSerial Ports 2×RS-232/RS-485/RS-422 (DB9)SIM Card Holders 2×standard SIMTF (Micro SD) Micro SD supportUSB 6×USB3.2 Gen2 + 1×OTG Type-CWiFi 802.11b/g/n/ac (RTL8822CE-CG)
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Power & Power Consumption
Input Voltage DC 9~36VMaximum Value (Full Load) 60WPower Interface DC input with polarity reversal protectionTypical Value (OS Idle State) 10W
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Mechanical Specifications
Enclosure & Heat Dissipation Metal housing, fanless designMounting Method (Wall-mount Optional) DIN-rail (default) / wall-mountProduct Dimensions 180×160×60 mmProtection Rating IP30TPM TPM2.0
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Environment & Certifications
EMC Standard EN61000-4-2, level 3, StaticEN61000-4-3, level 3, Radiation Electric FieldEN61000-4-4, level 3, Pulsed Electric FieldEN61000-4-5, level 3, SurgeEN61000-4-6, level 3, Conducted Disturbance ImmunityEN61000-4-8, Power Frequency Field Resistance, horizontal / vertical 400A/m (>level 2)EN61000-4-12, level 3, Shock Wave ResistanceEnvironmental Humidity 5~95% RH (non-condensing)Operating Temperature -20~60℃Physical Characteristics IEC60068-2-27 shock resistanceIEC60068-2-6 vibration resistanceIEC60068-2-32 drop resistanceStorage Temperature -40~85℃
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Operating System
Operating System Linux (JetPack 5.1 and above)
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Network Features
Network Access 5G or LTE Cat6 (model-dependent), EthernetNetwork Standards 5G, LTE Cat6 (different models for different networks)
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Seguridad
Arranque seguro Supported
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Fiabilidad
Built-in Watchdog Embedded watchdog self-recoveryDual SIM Switchover SupportedLink Detection Multi-level link detection with auto-redial
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Data Acquisition Protocols (DSA)
Industrial Protocols Modbus RTU Master/Slave, Modbus TCP Master/Slave, EtherNet/IP, ISO on TCP, OPC UA Client/Server, Mitsubishi MC 3C/3E/3C OverTCP, Mitsubishi CPU Port, FINSUDP, HostLink, PPIOther Protocols BACnet, CNCPower Protocols DLT645-2007, IEC101/104, DNP3.0, IEC 61850-MMS
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Network Management
DeviceLive Cloud Supports cloud-based parameter configuration, container management, application and firmware managementLog Functions Local/remote logs with power-off preservationRemote management DeviceLive / HTTP / HTTPS / SSH remote managementUpgrade Method Supports patent upgrade mechanism, local or remote firmware upgrade
Standard package*
- EC5350 AI Edge Computer *1
- Antena 4G *1
- 5G Antenna *4
- Wi-Fi Antenna *2
- Cable Ethernet *1
- Optional accessories
- Power Adapter *1
- AC Cable *1
- Panel Mounting Kit *1
* Standard package contents vary by standard order codes.
Contact us directly to learn more about our packaging options.
DeviceLive
Plataforma de gestión de dispositivos IoT
Device management, remote monitoring, edge app management, and remote maintenance to help industrial enterprises build intelligent edge networks.
Frequently Asked Questions
What AI workloads is the EC5350 designed for?
The EC5350 is an NVIDIA Jetson-based AI edge computer built around the NVIDIA Jetson Orin Nano 8 GB (6-core ARM Cortex-A78AE @ 1.5 GHz, 1024-core NVIDIA Ampere GPU with 32 Tensor Cores), delivering up to 67 TOPS of AI compute. It runs Linux (JetPack 5.1+) with Docker container support. Industrial I/O: 2× Gigabit Ethernet PoE PSE (IEEE 802.3af, 15 W per port), 2× RS-232/485/422 (DB9, software-configurable), 4× DI + 4× DO, 1× CAN FD, 2-ch GMSL 2.0 (FAKRA), 6× USB 3.2 Gen 2 + USB-C OTG, 1× HDMI 2.0 (up to 4K@60 Hz), Wi-Fi 5 + BLE 5.0, 2× standard SIM, 128 GB NVMe storage built in, TPM 2.0. Power: DC 9–36 V, 10 W idle / 60 W peak. Form factor: 180 × 160 × 60 mm metal chassis, IP30, DIN-rail or wall-mount, −20 to +60 °C. Cellular options: 5G NR (NRQ3), 4G LTE Cat 6 (FQ09), or no-cellular (EN00).
How do I set up and access the EC5350?
The EC5350 is an NVIDIA Jetson-based edge computer running JetPack 5.1 with HDMI 2.0 + USB 3.2 — three access methods are supported.
Direct (primary): Connect HDMI display + USB keyboard/mouse. Power on, select the System User account on the login screen, and enter the nameplate password. Use the JetPack Linux desktop directly.
Remote — SSH: Connect to the default ETH2 IP 192.168.4.100 using an SSH client (MobaXterm, PuTTY). Log in with the System User credentials from the nameplate.
Remote — IEOS web: Open https://192.168.4.100:9100 (HTTPS only, port 9100). Log in as username adm with the nameplate password.
What AI platform does the EC5350 run?
The EC5350 runs NVIDIA JetPack 5.1+ on the Jetson Orin Nano 8 GB module, with Docker container support, and is compatible with the NVIDIA AI ecosystem. Up to 67 TOPS of AI compute is available for edge inference workloads.
How do I deploy a Docker container on the EC5350?
The EC5350 runs JetPack with Docker container support. For remote container lifecycle management, enroll the EC5350 in DeviceLive — cloud-based parameter configuration, container management, and application and firmware management are exposed in the portal, along with remote batch management of edge AI applications.
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