reComputer J401 – Open-source carrier board for Jetson Orin Nano/Orin NX (without power adapter)

$141,00

The J401 carrier board is an advanced, open-source extension board for NVIDIA Jetson Orin Nano/ Orin NX modules. It breaks out typical IO interfaces from the SoM, offering high and low-speed connectivity. Its form-factor, performance, and ease of development make the Jetson Orin system flexible and scalable for rapid market entry and ongoing updates.

999 in stock

Description

Features

  • Exceptional Performance Carrier Board: Supports NVIDIA Jetson Orin NX/Nano modules, leveraging up to 100 TOPS powerful computing power for tough tasks with ease.
  • Versatile Connectivity: Offers Gigabit Ethernet, 4x USB 3.2 Type-A, USB 2.0 Type-C, CAN connector, and HDMI 2.1 for networking and data transfer.
  • Expand Storage and Wireless: Includes M.2 Key M and M.2 Key E slots for flexible storage and wireless connectivity expansion.
  • Mount Sensors with Peripheral Support: Features 2x MIPI CSI-2 22-pin camera connectors, fan, RTC, and a 40-pin expansion header for multiple peripherals.
  • Open Source Design: The J401 carrier board is open-source, with design files prepared in Cadence Allegro 17.4.
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Note

If you are looking for the version with power adapter, please check out reComputer J401 with power adapter.

Specification

● Carrier Board

Storage

1x M.2 Key M (connector to Support 2280 NVMe SSD)

Networking

Ethernet

1x RJ-45 Gigabit Ethernet (10/100/1000M)

M.2 KEY E

1x M.2 Key E for WiFi/Bluetooth module

I/O

USB

4x USB 3.2 Type-A (10Gbps), 1x USB2.0 Type-C (Device Mode)

Camera

2x CSI (2-lane 15pin)

Display

1x HDMI 2.1

Fan

1x 4 pin Fan Connector (5V PWM)

CAN

1x CAN

Multifunctional Port

1x 40-Pin Expansion header

1x 12-Pin Control and UART header

RTC

1x RTC 2-pin, supports CR1220 but not included

Power

9-19V DC

Mechanical

Dimensions (W x D)

100mm x 80mm

Installation

Desk, wall-mounting

Operating Temperature

-10℃~60℃

Hardware Overview


Application

Application Fields:

  • AI Video Analytics
  • Machine Vision
  • Autonomous Mobile Robot (AMR)
  • Generative AI

 

Additional information

Weight 0,13 kg

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