SeeedStudio Unveils reComputer J101/J202 – Carrier Boards for Jetson Nano/Xavier NX/TX2 NX Modules

SeeedStudio Unveils reComputer J101/J202 – Carrier Boards for Jetson Nano/Xavier NX/TX2 NX Modules

SeedStudio has launched the reComputer J101 and J202 carrier boards designed to work perfectly with the 260-pin SODIMM modules from NVIDIA. The reComputer J202 has the same size and nearly the same functional design as Nvidia’s official Jetson Xavier NX devkit carrier board, while the reComputer J101 carrier board design is based on the Jetson Nano devkit too.

Both variants of the reComputer carrier boards share some similarities – the same 100 mm x 80 mm size, dual CSI ports, one fan connector, RTC, 1x GbE port, 1x M.2 Key E slot, 1x USB Type-C slot, and an RP2040 which is used to detect voltage problems whenever the voltage deviation goes beyond 5%. You will only see some differences between the two when you start considering other features like the number of displays (J101 has only 1x DP while J202 has support for two displays via 1x HDMI and 1x DP); availability of a microSD card slot (J202 didn’t come with any); CAN bus interface (J101 doesn’t have one), and USB (J101 features different USB Type-A/Type-C ports and takes power from a USB Type-C Port while the J202 offers a USB Type-C port and up to 4x USB 3.1 Type-A ports)

Here’s a summary of the features and specifications of both the reComputer J101 and J202, as well as how they compare with their Nvidia counterparts.

FEATURES

Jetson Nano DevKit (B1)

reComputer J101

Jetson Xavier NX Devkit

reComputer J202

Module Compatibility  Jetson Nano 4GB (non-production version) Jetson Nano Series Jetson Xaxier NX 8GB (non production version) Jetson Nano/Xavier NX/TX2 NX
Overall Size 100 mm * 80 mm 100 mm * 80 mm 100 mm * 80 mm 100 mm * 80 mm
Display 1x HDMI

1x DisplayPort

1x HDMI 1x HDMI

1x Displayport

1x HDMI

1x DisplayPort

CSI Camera 2x MIPI CSI 2x MIPI CSI 2x MIPI CSI 2x MIPI CSI
Ethernet 1 GbE (10/100/1000M) 1 GbE (10/100/1000M) 1 GbE (10/100/1000M) 1 GbE (10/100/1000M)
MicroSD Card 1x MicroSD card slot (48 MHz CLK Frequency)
USB 1x USB Micro B (Device Mode)

4x USB 3.0 Type-A (5 Gbps)

1x USB Type-C (Device Mode)

1x USB 3.0 Type-A (5 Gbps)

1x USB Micro B (Device Mode)

4x USB 3.1 Type-A (10 Gbps)

1x USB Type-C (Device Mode)

4x USB 3.1 Type-A (10 Gbps for NX and 5 Gbps for Nano)

Fan 1x Fan Connector 1x Fan Connector 1x Fan Connector 1x Fan Connector
M.2 Key M 1x M.2 Key M 1x M.2 Key M
M.2 Key E 1x M.2 Key E 1x M.2 Key E 1x M.2 Key E 1x M.2 Key E
CAN  (reserved) 1x CAN bus
Input/Output Ports 1x 40-pin header

1x 12-pin header

1x 40-pin header

1x 12-pin header

1x 40-pin header

1x 12-pin header

1x 40-pin header

1x 12-pin header

Real Time Clock RTC Socket (reserved) RTC Socket (reserved)

2-pin RTC

RTC Socket (reserved) RTC Socket

2-pin RTC 

Power Supply 5V/4A (5.5/2.5 mm Barrel Jack)

5V/2A (USB Micro B)

Power Supply Unit not Included

5V/3A (USB Type-C)

Power Supply Unit not Included

19V/4.74A (5.5/2/5 mm Barrel Jack)

Has only Power Cord

12V/5A (5.5/2.1 mm Barrel Jack)

Has Only Power Adapter

 

The reComputer J101/J202 carrier boards are ready to bring the power of modern AI to everyone: embedded developers, learners, makers, designers, and enthusiasts. They are perfect for a wide range of edge-AI applications which includes animal detection, wildfire detection, retail store items detection, pedestrian detection, and pose estimation. The carrier boards are highly versatile and suitable for complicated AI graphical applications. Its multiple camera connectors allow you to run multiple neural networks in parallel for apps like speech processing, object detection, image classification and segmentation.

The reComputer J101 and J202 are both available and are being sold for $69 and $131 on SeeeStudio’s product page. These prices however do not include the power cord for J101 or power adapter for J202, but if you would like to buy the J202 alongside the 12V power adapter, you will be getting it for $139.

Other useful details on the boards including how to get started can be found here for the J101 and here for the J202.

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About Emmanuel Odunlade

Hardware Design Engineer | #IoT Consultant |All things #ML | Entrepreneur | Serial Writer | Passionate about Innovation and technology as tools for solving problems in developing countries. Spare time is spent around writing and advocacy for the growth of the Maker/DIY Culture in Africa.

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