Flash JetPack to J401-Mini Carrier Board
reComputer Mini is a tiny AI computer powered by NVIDIA Jetson Orin Nano/Orin NX module,delivering up to 100 TOPS AI performance. It‘s equipped with PCIe port at the bottom to provide rich expansion capabilities, which also can be customized flexibly. The whole system is designed for embedding into autonomous machines such as drones, patrol robots, delivering robots, etc. It can directly occupy 54V DC input, able to be widely used in battery powered systems.

Features
- Brilliant AI Performance for Production: Achieves up to 100 TOPS AI performance with low power and latency, built by NVIDIA Orin SoC combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, integrated advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.
- Hand-Size Edge AI Device: Compact size at 63mmx95mmx42mm, featuring an NVIDIA Jetson Orin NX 16GB module, Mini J401 carrier board, fan and enclosure. Support desktop and wall mounting.
- Expandable with Rich I/Os: Includes up to 7x USB, 1x DP 2.1, 2x CSI, 1x RJ45 for GbE, M.2 Key E, M.2 Key M, dual channel CAN, and GPIO with extension board.
- Accelerate Solutions to Market: Pre-installed JetPack 6.0 on 128GB NVMe SSD, Linux OS BSP, supporting Jetson software and leading AI frameworks.
- Scale to deploy: support OTA, remote management services powered by Allxon and Balena.
- Flexible Customization: inlcudes changing accessories modules, logo, and hardware interfaces modification based on reComputer Mini J4012 original design.
Specifications
Jetson Orin System on Module | ||||
---|---|---|---|---|
Specifications | reComputer Mini J3010 | reComputer Mini J3011 | reComputer Mini J4011 | reComputer Mini J4012 |
Module | Jetson Orin Nano 4GB | Jetson Orin Nano 8GB | Jetson Orin NX 8GB | Jetson Orin NX 16GB |
AI Performance | 20 TOPS | 40 TOPS | 70 TOPS | 100 TOPS |
GPU | 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores | 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores | ||
CPU | 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 | 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 | 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 | |
CPU Max Frequency | 1.5 GHz | 2 GHz | ||
Memory | 4GB 64-bit LPDDR5 34 GB/s | 8GB 128-bit LPDDR5 68 GB/s | 8GB 128-bit LPDDR5 102.4GB/s | 16GB 128-bit LPDDR5 102.4GB/s |
DL Accelerator | / | 1x NVDLA v2 | 2x NVDLA v2 | |
Video Encoder | 1080p30 supported by 1-2 CPU cores | 1x 4K60 (H.265) | 3x 4K30 (H.265) 6x 1080p60 (H.265) | 12x 1080p30 (H.265) | ||
Video Decoder | 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) | 1x 8K30 (H.265) 2x 4K60 (H.265) 4x 4K30 (H.265) 9x 1080p60 (H.265) 18x 1080p30 (H.265) | ||
Carrier Board | ||||
Storage | 128GB NVMe SSD | |||
Networking | M.2 KEY E | 1x M.2 Key E for WiFi/Bluetooth module | ||
I/O | USB | 2x USB 3.2 Type-A (10Gbps) 1x USB 2.0 Micro-B (Device Mode) 1x USB 2.0 Type-C (Host Mode) 1x USB 2.0 JST-4pin (Host Mode) | ||
UART | 1x UART; 1x UART for Debug | |||
Display | 1x DP 2.1 (included in Type-C conenctor) | |||
Fan | 1x 4 pin Fan Connector (5V PWM) | |||
Button | 1x Reset Button; 1x Recovery Button | |||
Extension Port | 2x 60 pin High Speed Connector (For extension board) 1x 10 pin Power Connector (For extension board) | |||
RTC | 1x RTC 2-pin | |||
Power | 1x XT30 Connector (12-54V DC) | |||
Extension Board | ||||
Networking | Ethernet | 1x RJ-45 Gigabit Ethernet (10/100/1000M) | ||
I/O | USB | 4x USB 3.2 Type-A (10 Gbps) | ||
CAN | 1x CAN JST 4pin (3.3V); 1x CAN (XT30 2+2) | |||
Fan | 1x 4 pin Fan Connector (5V PWM) | |||
I2C | 2x I2C JST 4pin (3.3V) | |||
SPI | 1x I2S JST 6pin (3.3V) | |||
Power | 2x XT30 2+2 Connector (12-54V DC) | |||
Others | ||||
Mechanical | Dimensions (W x D x H) | 63mm * 95mm * 42mm (Without Extension) 63mm * 95mm * 66.7mm (With Extension) | ||
Weight | 345g (Without Extension) 462g (With Extension) | |||
Installation | Desk, wall-mounting | |||
Operating Temperature | -10℃ ~ 50℃ | |||
Warranty | 1 Year |
Hardware Overview




Flash JetPack OS
Here, we will show you how to flash Jetpack 6.0 to an NVMe SSD connected to the reComputer Mini.
Supported Nvidia Jetson Module
- NVIDIA® Jetson Orin™ Nano Module 4GB
- NVIDIA® Jetson Orin™ Nano Module 8GB
- NVIDIA® Jetson Orin™ NX Module 8GB
- NVIDIA® Jetson Orin™ NX Module 16GB
Prerequisites
- Ubuntu Host Computer
- reComputer J401-Mini Carrier Board with Jetson Orin Module
- USB Micro-B data transmission cable
We recommend that you use physical ubuntu host devices instead of virtual machines. Please refer to the table below to prepare the host machine.
JetPack Version | Ubuntu Version (Host Computer) | ||
18.04 | 20.04 | 22.04 | |
JetPack 5.x | ✅ | ✅ | |
JetPack 6.x | ✅ | ✅ |
Prepare the Jetpack Image
Here, we need to download the system image to our Ubuntu PC corresponding to the Jetson module we are using:
Jetpack Version | Jetson Module | Download Link | SHA256 |
---|---|---|---|
5.1.3 | Orin Nx 16GB | Download | 8C3E89F54198DA2AC6094B7602C8AA2 CE14A2AB2C75A885A915BF2D04EDF2BD4 |
Orin Nx 8GB | Download | B7C50661695C7E42360B6DCD8E5679B E2807DC1B10C94FF12BB43B223FF3CFCB | |
Orin Nano 8GB | Download | 9A7EEE111D8175EF8286A276BE2668A AA9DE1AB4E850D722351B5BE76C8610B1 | |
Orin Nano 4GB | Download | 24A37D1EB26B65CEA9830961F0270AA CCF4909C06D8CC1FCC91DB560C1B9060E | |
6.0 | Orin Nx 16GB | Download | C579FF60F6F140E43C592F784EA5417 91DD8F7DDA49924F36EFBB63196FC1C35 |
Orin Nx 8GB | Download | 3A96643CF7CF8D765FD7B1B43CA7BEE AAD97AF6094E073CE392AF6E1BAD45B91 | |
Orin Nano 8GB | Download | C0D23150DE73F3E6D31203F7BA1B198 D26A7A67F109264D049B3E0F9EEE1EE7A | |
Orin Nano 4GB | Download | 029F135F8A86E55892F1AD4C3049C9D 9908D4503C1BBEEAB324AB038A77B4027 |
The Jetpack6 image file is approximately 16.7GB in size and should take around 60 minutes to download. Please kindly wait for the download to complete.
To verify the integrity of the downloaded firmware, you can compare the SHA256 hash value.
On an Ubuntu host machine, open the terminal and run the command sha256sum <File>
to obtain the SHA256 hash value of the downloaded file. If the resulting hash matches the SHA256 hash provided in the wiki, it confirms that the firmware you downloaded is complete and intact.
Enter Force Recovery Mode
Before we can move on to the installation steps, we need to make sure that the board is in force recovery mode.
Step-by-Step

- Step 1. Connect a USB Micro-B cable between USB2.0 DEVICE port and the ubuntu host PC.
- Step 2. Use a pin and insert into the RECOVERY hole to press recovery button and while holding this.
- Step 3. Connect the power supply.
- Step 4. Release the recovery button.
On the Linux host PC, open a Terminal window and enter the command lsusb
. If the returned content has one of the following outputs according to the Jetson SoM you use, then the board is in force recovery mode.
- For Orin NX 16GB: 0955:7323 NVidia Corp
- For Orin NX 8GB: 0955:7423 NVidia Corp
- For Orin Nano 8GB: 0955:7523 NVidia Corp
- For Orin Nano 4GB: 0955:7623 NVidia Corp
The below image is for Orin Nx 16GB:

Flash to Jetson with Single Command.
Flash the device with a single command.
The reComputer Jetson J30/40 Mini has launched a one-click flashing script, which supports flashing Jetpack 6.0.
wget -O ./flashing.sh https://files.seeedstudio.com/OSHW_Jetson/flashing.sh && sudo chmod 777 ./flashing.sh && ./flashing.sh
Disclaimer: The one-click flashing script aims to make jetpack flashing quicker. The current version is a beta one and may have many problems. We hope for your understanding. If there are flashing issues, follow the Flash The Device Step by Step
below and give feedback in our Discord Jetson channel. We'll fix them promptly and improve this function in the near future.
Flash to Jetson Step by Step
Step 1: Extract the downloaded image file on ubuntu host PC:
cd <path-to-image>
sudo tar xpf mfi_xxxx.tar.gz
# For example: sudo tar xpf mfi_recomputer-orin-nano-8g-j401-6.0-36.3.0-2024-06-07.tar.gz
Step 2: Execute the following command to flash jetpack system to the NVMe SSD:
cd mfi_xxxx
# For example: cd mfi_recomputer-orin-j401
sudo ./tools/kernel_flash/l4t_initrd_flash.sh --flash-only --massflash 1 --network usb0 --showlogs
You will see the following output if the flashing process is successful

The flash command may run for 2-10 minutes.
Step 3: Connect the J501 to a display using the HDMI connector on the board and finish the initial configuration setup:

Please complete the System Configuration according to your needs.
Step 4 (Optional): Install Nvidia Jetpack SDK
Please open the terminal on the Jetson device and execute the following commands:
sudo apt update
sudo apt install nvidia-jetpack
Hardware Interfaces Usage
If you want to learn more about the detailed specifications and usage of the hardware interface, please refer to this wiki.
Resources
- reComptuer Mini Datasheet
- reComptuer Mini Schematic
- reComputer Mini 3D file
- Seeed Jetson Serials Catalog
- Seeed Studio Edge AI Success Stories
- Seeed Jetson Serials Comparision
- Seeed Jetson Devices One Page
Tech Support & Product Discussion
Thank you for choosing our products! We are here to provide you with different support to ensure that your experience with our products is as smooth as possible. We offer several communication channels to cater to different preferences and needs.