reComputer J3010 - Nvidia Jetson Orin Nano 4GB RAM + 128GB NVMe - Seeedstudio 110110146

Index: SEE-22766
The reComputer J3010 kit features a powerful and compact Nvidia Jetson Orin Nano edge module that delivers up to 40 TOPS of AI edge performance, offering approximately 2x the performance of Jetson Xavier NX. It combines the Nvidia Ampere architecture with 64-bit support. The minicomputer is equipped with 4 GB of RAM and 128 GB of external NVMe SSD memory and a WiFi and Bluetooth wireless communication system. 
reComputer J3010 - Nvidia Jetson Orin Nano 4GB RAM + 128GB NVMe - Seeedstudio 110110146
€694.50
€564.63 tax excl.
Delivery 2 pcs scheduled for 2024-12-06
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Manufacturer: Nvidia

Product description: reComputer J3010 - Nvidia Jetson Orin Nano 4GB RAM + 128GB NVMe - Seeedstudio 110110146

The reComputer J3010 kit features a powerful and compact Nvidia Jetson Orin Nano edge module that delivers up to 40 TOPS of AI edge performance, offering approximately 2x the performance of Jetson Xavier NX. It combines the Nvidia Ampere architecture with 64-bit support. The minicomputer is equipped with 4 GB of RAM and 128 GB of external NVMe SSD memory and a WiFi and Bluetooth wireless communication system. 

The J3010 kit includes the Nvidia Jetson Orin Nano 4GB module, heatsink and power supply. The reComputer J3010 comes with Nvidia JetPack 5.1 , which simplifies development and enables deployment of Edge AI solutions in video analytics, object detection, natural language processing, medical imaging, and robotics across industries such as smart cities, security, industrial automation, smart factories .

J3010 recomputer enclosed in a housing

The whole is enclosed in an aluminum housing.

reComputer J3010

reComputer J3010 is equipped with rich interfaces.

Main features of the reComputer J3010 module

  • Outstanding AI performance : On-device processing with up to 40 TOPS AI performance with low power consumption and low latency.
  • Palm-sized Edge AI Device : Compact in size 130 x 120 x 58.5mm, includes Nvidia Jetson Orin Nano 8GB module, heatsink, chassis and power supply.
  • Expandable through rich I/O : 4x USB 3.2, HDMI 2.1, 2x CSI, 1x RJ45 Gigabit Ethernet, M.2 Key E, M.2 Key M, CAN and GPIO.
  • Fast-to-market : pre-installed Nvidia JetPack on included 128GB NVMe SSD, Linux BSP operating system, WiFi BT combo module, 2x antenna, support for Jetson software and leading AI software frameworks and platforms.

The manufacturer recommends using only Seeed SSDs ( 128GB , 256GB , 512GB ), as some drives available in the market may not work properly with this product in a specific version of JetPack.

ReComputer Jetson application

The reComputer Jetson J30 series of modules, based on the Jetson Orin Nano, is ideal for creating standalone applications and complex AI tasks such as image recognition, object detection, position estimation, semantic segmentation, video processing, and more. Below are some applications that have been tested with Xavier NX and can be used as a reference for building applications using Jetson Orin Nano / Orin NX as well.

Kit contents


The reComputer J3010 comes with a power adapter ( power cord must be purchased separately).

Jetson precompile system.

Pre-installed Nvidia JetPack

The Nvidia JetPack SDK provides a complete development environment and includes CUDA-X-accelerated libraries and other Nvidia technologies to accelerate development. JetPack includes the Jetson Linux Driver Pack, which provides the Linux kernel, bootloader, Nvidia drivers, flashing utilities, sample file system, and toolchains for the Jetson platform. It also includes security features, over-the-air upgradeability, and much more.

Kit contents

  • Nvidia Jetson Orin Nano 4GB module
  • Seeed carrier plate
  • 128GB NVMe SSD
  • Aluminum radiator with fan
  • Bluetooth / WiFi module
  • Antenna x2
  • Aluminum housing (black)
  • Power adapter 12 V / 5 A (DC 5.5 / 2.5 mm, power cord not included)

Interfaces in reComputer Jetson

The small, high-performance reComputer J3010 board is equipped with rich interfaces, allowing you to bring new possibilities to all embedded artificial intelligence systems and edge systems.

  1. Control and UART connector
  2. RTC 2-pin connector
  3. 2x MIPI-CSI camera connector
  4. 4x USB 3.0 ports
  5. HDMI and DisplayPort ports
  6. DC jack power connector
  7. CAN port
  8. Fan connector
  9. 40-pin GPIO connector
  10. 260-pin SO-DIMM connector
  11. PoE connector
  12. Gigabit Ethernet port
  13. Led
  14. USB Type-C
  15. M.2 Key E connector
  16. RTC coin cell battery basket
  17. M.2 Key Connector M
ReComputer J301x pinouts

Pins of the reComputer J301x board.

SPECIFICATION AND COMPARISON
Product reComputer J3010 reComputer J3011 Nvidia Jetson Orin Nano
Module Jetson Orin Nano 4GB Jetson Orin Nano 8GB Jetson Orin Nano (Non-Develop)
AI performance 20 TOPS
40 tops
GPU 512-core Nvidia Ampere with 16 Tensor cores
1024-core Nvidia Ampere with 32 Tensor cores
Processor
6 core Nvidia Arm Cortex A78AE v8.2 1.2MB L2 + 4MB L3
RAM 4GB 64-bit LPDDR5 @ 34GB/s
8GB 128-bit LPDDR5 @ 68GB/s
Internal storage
128GB NVMe SSD
-
Video codec
1080p30 supported by 1-2 CPU cores
Video decoder

1x 4K60 (H.265)

2x 4K30 (H.265)

5x 1080p60 (H.265)

11x 1080p30 (H.265)

Ethernet connection
1x RJ45 Gigabit Ethernet (10/100/1000)
USB
4x USB 3.2 Type A (10Gbps)
1x USB 2.0 Type-C (Device Mode)
Camera connector
2x CSI (2-lane 15-pin)
2x MIPI CSI-2 22-pin
Display connector
1 x HDMI 2.1
1x Display Port 1.2 (+MST)
M.2 key E
1x M.2 key E (WiFi/Bluetooth module installed)
1x M.2 key E (WiFi/BT)
M.2 key M
1x M.2 key M
1x M.2 key M with x4 PCIe Gen3
1x M.2 key M with x2 PCIe Gen3
GPIOs
1x 40-pin UART, SPI, I2S, I2C, GPIO
Power
DC jack 12V / 5A (DC 5.5 / 2.5mm)
DC 19V socket
Dimensions
130x120x50mm
103 x 79 x 21mm

UC - Core Cortex A78AE
UC - RAM 4 GB
UC - External memory SSD 128 GB
UC - Ethernet yes
UC - WiFi yes
UC - USB 4x USB
UC - Bluetooth yes
UC - HDMI yes
UC - I2C yes
UC - UART yes
UC - SPI interface yes
UC - Camera interface yes
UC - Linux yes
Package width 16 cm
Package height 15 cm
Package depth 11.5 cm
Package weight 0.84 kg

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