NRU-154-JON8 Overview
Inspection points in metal shops, bakeries and roadside cabinets are often sealed against dust and water, which leaves no airflow for a finned computer. The NRU-154-JON8 sits flat against the enclosure wall and powers four cameras directly. It is the 8 GB PoE+ build of the Neousys NRU-150-FT series of fanless edge AI computers, with an NVIDIA Jetson Orin NX 8GB module and a flattop heatsink.
The Orin NX 8GB module has 8 GB of LPDDR5 at 3200 MHz and runs the NVIDIA JetPack toolchain, which suits defect detection, counting and classification on a modest number of streams. The NRU-154-JON8 ships with a 128 GB NVMe drive in the M.2 2242 socket at PCIe Gen4 x2, carrying a pre-installed system image, so it boots ready for application work.
Four 2.5GbE ports by Intel I226-IT or I225-IT supply 802.3at PoE+ from a 50 W total budget, with screw-lock retention, and each port has full bandwidth for its camera. A separate GbE port links the plant network. Serial I/O is one RS-232 port and one isolated RS-485 port, with two USB 2.0 ports, a micro USB OTG port inside and a DisplayPort output at 3840 x 2160. Neousys advises limiting the operating temperature to 60 °C when running 2.5G link speeds. Where larger models or more streams are planned, the NRU-154-JON16 moves to the 16 GB module.
Power is 12 V DC. Mounted on a 50 x 50 cm metal plate or cabinet, the NRU-154-JON8 runs from -25 °C to 60 °C in 20 W mode with no throttling, or -25 °C to 45 °C without that conduction. Vibration and shock are tested to MIL-STD-810H, and the 116 x 171 x 27 mm chassis weighs 1.0 kg.
NRU-154-JON8 Specifications
| Overview | |
|---|---|
| Brand & Model | Neousys NRU-154-JON8 |
| Features | Compact Embedded Fanless Industrial Low Profile Rugged |
| Performance | |
| AI Performance | 70 TOPS |
| System-on-Module | NVIDIA Jetson Orin NX 8GB: 70 TOPS, 1024-core Ampere GPU with 32 Tensor Cores, 6-core Arm Cortex-A78AE 2.0GHz, 8GB 128-bit LPDDR5, 10-20W |
| Operating System | Linux |
| Graphics | |
| Display Standards | Display Port 1.4a |
| Multi Display Support | Single Display Support |
| Display Outputs | 1x Display Port |
| I/O | |
| Ethernet | 5x Ethernet Ports |
| 1x GbE LAN [RJ45] 4x 2.5 GbE LAN [RJ45] [PoE] | |
| LAN Controllers | Intel I225IT Intel I226IT |
| PoE Standard | PoE+ [IEEE 802.3at] |
| USB | 2x USB Ports |
| 2x USB 2.0 [Type A] | |
| Serial | 2x Serial Ports |
| 1x Isolated RS485 [DB9] 1x RS232 [DB9] | |
| Expansion | |
| M.2 | 1x M.2 Expansion Slots |
| 1x M.2 M-Key [PCIe x2 Gen4] [2242] | |
| Storage | |
| Storage | 1x M.2 SSD [M-Key 2242, PCIe Gen 4 x2] |
| NVMe | NVMe SSD Support |
| Power | |
| Power Input | 12V DC |
| Power Support Modes | AT: PWR on Input |
| Environmental Conditions | |
| Thermal Dissipation | Fanless Passively Cooled Chassis |
| Operating Temperature | -25°C to 60°C [-13°F to 140°F] |
| Storage Temperature | -40°C to 85°C [-40°F to 185°F] |
| Humidity | 10-90% (Non-condensing) |
| Shock | MIL-STD-810H |
| Vibration | MIL-STD-810H |
| EMC | EN55032 EN55035 |
| Certification | CE FCC |
| Mechanical Properties | |
| Weight | 1 Kg (2.2 Lbs) |
| Chassis Material | Aluminum |
| Dimensions | 116mm x 171mm x 27mm (4.57″ x 6.73″ x 1.06″) |
| Mounting Options | Wall Mount |
Official Neousys USA Distributor
Things Embedded is an official Neousys USA distributor, supplying the NRU-154-JON8 for sealed inspection cabinets with IP or GigE cameras. The NRU-160-FT brings the flattop design onto robots and vehicles with M12 PoE+ or GMSL2 cameras and ignition control. For Intel x86 software in the same kind of enclosure, the NUVO-9531-FT offers four 2.5GbE PoE+ ports on Intel Core. Each of these conducts heat into surrounding metal instead of relying on airflow.
Across our range, the NRU-154-JON8 appears with our NVIDIA Jetson PoE systems for its four powered ports and with our PoE camera computers. The flattop design places it among our fanless industrial computers, and the -25 °C to 60 °C rating suits roadside and harbour enclosures through the year. The 8 GB module suits a few camera streams, and the 16 GB build adds headroom when models grow.
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