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Premio JCO-1000-ORN-B-2L NVIDIA Jetson Orin NX or Nano Fanless Embedded Computer with 2.5GbE and Dual LAN

The JCO-1000-ORN-B-2L is the dual LAN build of the Premio JCO-1000-ORN series, adding a 2.5GbE port to the GbE port, plus E-Mark and EMC to EN 50121-3-2, around a Jetson Orin NX or Orin Nano module. It suits in-vehicle and intelligent transportation edge AI that needs two networks and ignition control.

  • GbE plus 2.5GbE LAN: One GbE and one Intel 2.5GbE RJ45 port, so cameras and the uplink can run on separate networks.
  • E-Mark and Railway EMC: E-Mark (E24) for vehicle use and EMC to EN 50121-3-2 (the EN 50155 EMC clause), with ignition management built in.
  • Jetson Orin NX or Orin Nano: Orin NX 16GB or 8GB, or Orin Nano 8GB or 4GB, from 20 to 100 TOPS and up to 157 TOPS in Super Mode.
  • Optional GMSL2 Cameras: Up to four GMSL2 cameras through an optional quad-port Mini Fakra module, with an integrated G-sensor and gyroscope.
  • Fanless 9 to 36 V DC: A finned fanless enclosure rated -20 °C to 55 °C at 15 or 25 W, on a 9 to 36 V DC terminal block input.
Operating Software: LinuxLinux
Ethernet Speed: 2.5GbE2.5GbE
USB Generation: USB3USB3
M.2: 33x M.2
SIM Slots: 22x SIM
Connectivity: 4G4G
Connectivity: 5G5G
Connectivity: WirelessWi-Fi
 NVMe: NVMe SSD SupportNVMe SSD
Ignition Sensing: Supports Ignition ControlIgnition Control
Thermal Dissipation: FanlessFanless
Certification: CECE
Certification: FCCFCC
UK Support Team: +44 (0)1785 558 300 Call
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  • Specifications
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JCO-1000-ORN-B-2L Overview

Vehicle and transport deployments bring an ignition-switched supply, a vehicle electrical mark and two networks to keep apart. The Premio JCO-1000-ORN-B-2L is the dual LAN build of the JCO-1000-ORN series, a fanless Jetson Orin NX or Orin Nano computer with E-Mark, EMC to EN 50121-3-2 (the EN 50155 EMC clause) and GbE plus 2.5GbE.

The module sets the performance, from 20 TOPS on Orin Nano 4GB and 40 TOPS on Orin Nano 8GB to 70 and 100 TOPS on Orin NX 8GB and 16GB, or up to 157 TOPS on Orin NX 16GB in Super Mode. Storage is an M.2 PCIe x4 NVMe SSD (128 GB by default) plus Micro SD. The JCO-1000-ORN-B-2L runs JetPack 6.2 on Ubuntu 22.04 or JetPack 7.2 on Ubuntu 24.04, with TPM 2.0 and a watchdog timer.

LAN is one GbE port and one Intel 2.5GbE port, both on RJ45. There is one USB 3.2 Gen 2 and one USB 2.0 port, one DB9 RS-232/422/485 port plus one internal, one CAN 2.0 B port, four isolated inputs and four outputs, and internal audio. HDMI 2.0 gives 4K at 60 Hz on Orin NX. An optional Mini Fakra module adds up to four GMSL2 cameras, a G-sensor and gyroscope are built in, and M.2 B key and E key sockets take optional 4G/5G and Wi-Fi with a dual nano-SIM socket.

Power is 9 to 36 V DC on a terminal block with AT and ATX modes, adjustable ignition management and an optional AC/DC adapter. The fanless unit runs from -20 °C to 55 °C at 15 W or 25 W and to 35 °C at 40 W, and is designed to comply with MIL-STD-810H for shock and vibration. It carries E-Mark, CE, FCC Class B, UKCA and UL 62368-1 marks, and mounts on a wall or an optional DIN rail. We supply the JCO-1000-ORN-B-2L configured and tested, with the NVMe SSD, JetPack image and any wireless modules fitted. The JCO-1000-ORN-C-2M12 puts both LAN ports on M12, and the JCO-1000-ORN-A-1L trades them for four USB 3.2 Gen 2 ports.

JCO-1000-ORN-B-2L Specifications

Overview
Brand & ModelPremio JCO-1000-ORN-B-2L
FeaturesCompact
Embedded
Fanless
GPU
Industrial
Low Profile
Rugged
Isolated I/O
Performance
AI Performance20–100 TOPS
Memory16GB Soldered On-board
4GB Soldered On-board
8GB Soldered On-board
System-on-ModuleNVIDIA Jetson Orin Nano 4GB: 20 TOPS, 512-core Ampere GPU with 16 Tensor Cores, 6-core Arm Cortex-A78AE 1.5GHz, 4GB 64-bit LPDDR5, 5-10W
NVIDIA Jetson Orin Nano 8GB: 40 TOPS, 1024-core Ampere GPU with 32 Tensor Cores, 6-core Arm Cortex-A78AE 1.5GHz, 8GB 128-bit LPDDR5, 7-15W
NVIDIA Jetson Orin NX 16GB: 100 TOPS, 1024-core Ampere GPU with 32 Tensor Cores, 8-core Arm Cortex-A78AE 2.0GHz, 16GB 128-bit LPDDR5, 10-25W
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
Secure Crypto ProcessorTPM 2.0 (Trusted Platform Module)
Operating SystemLinux Ubuntu 24.04
Linux
Linux Ubuntu 22.04
Jetpack VersionJetPack 6.2
JetPack 7
Graphics
Multi Display SupportSingle Display Support
Display Outputs1x HDMI
I/O
Ethernet2x Ethernet Ports
1x 2.5 GbE LAN [RJ45]
1x GbE LAN [RJ45]
USB2x USB Ports
1x USB 2.0 [Type A]
1x USB 3.2 Gen 2 [Type A]
Serial2x Serial Ports
1x RS232/422/485 [Board]
1x RS232/422/485 [DB9]
CANbus1x CANbus Ports
1x CANbus, DB9
Digital I/OIsolated DIO [4-in, 4-out]
Expansion
M.23x M.2 Expansion Slots
1x M.2 B-Key [PCIe x1/USB 3.2 Gen 2/USB 2.0/SIM] [2242/3042/3052]
1x M.2 E-Key [PCIe x1/USB 2.0] [2230]
1x M.2 M-Key [PCIe x4] [2242/2280]
SIM Slots2x SIM Slots
Wireless ConnectivityOptional 4G/5G
Optional WiFi/Bluetooth
Storage
Storage1x M.2 SSD
1x Micro SD
NVMeNVMe SSD Support
Power
Power Input9-36V DC Input [Terminal Block]
Power Support ModesAT: PWR on Input
ATX: Press Button to Power
Ignition SensingSupports Ignition Control
Environmental Conditions
Thermal DissipationFanless Passively Cooled Chassis
Operating Temperature-20°C to 55°C [-4°F to 131°F]
Storage Temperature-30°C to 85°C [-22°F to 185°F]
Humidity10% - 95% (Non-condensing)
CertificationIEC 62368-1
CB
CE
E-Mark
EN50121-3-2
FCC
IC (ICES-003)
REACH
RoHS
UKCA
UL
UL 62368-1
Mechanical Properties
Weight1.1 Kg (2.4 Lbs)
Dimensions150mm x 105mm x 65mm (5.91" x 4.13" x 2.56")
Mounting OptionsDIN Mount
Wall Mount

Official Premio UK Distributor

Things Embedded is an official Premio UK distributor, and we supply the JCO-1000-ORN-B-2L configured and tested, with the NVMe SSD, JetPack image, wireless modules and antennas fitted before it ships. Within the Premio range, the JCO-1000-ORN-C-2M12 puts the same GbE and 2.5GbE ports on X-coded M12 connectors.

Across our range, the JCO-1000-ORN-B-2L sits with our Jetson Orin NX computers, rugged Jetson computers and in-vehicle computers.

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Things Embedded is a leading UK supplier of industrial computing and edge AI systems. We combine technical expertise with a collaborative approach to deliver optimal solutions for your application. Whether it’s an off-the-shelf platform or a custom design, we stay at the forefront of the latest technologies to ensure your success at the edge. Our team works closely with you from concept through deployment, providing guidance, engineering support, and integration expertise every step of the way.

Connect with our solutions experts today to review your requirements and find the ideal solution fit for your application.