reComputer J4012 - Nvidia Jetson Orin NX 16GB RAM + 128GB NVMe - Seeedstudio 110110145

Index: SEE-22764
reComputer J4012 is a palm-sized edge device. It was based on Nvidia Jetson Orin NX, its AI performance up to 100 TOPS. It has rich IO, USB 3.2, HDMI 2.1, M.2 Key E for WiFi, M.2 Key M for SSD, RTC, CAN, 40-GPIO compatible with Raspberry Pi and much more. It is equipped with an aluminum housing, a fan with a heatsink and installed JetPack System with Nvidia JetPack. As part of the Nvidia Jetson ecosystem, reComputer J4012 is ready to design and implement further AI applications.
reComputer J4012 - Nvidia Jetson Orin NX 16GB RAM + 128GB NVMe - Seeedstudio 110110145
€1,379.90
€1,121.87 tax excl.
Delivery 2 pcs scheduled for 2025-01-24
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Manufacturer: Nvidia

Product description: reComputer J4012 - Nvidia Jetson Orin NX 16GB RAM + 128GB NVMe - Seeedstudio 110110145

The reComputer J4012 minicomputer is based on the Nvidia Jetson Orin NX 16GB, a powerful and compact intelligent edge device. Delivers up to 100 TOPS edge AI performance, offering more than 5x the performance of Jetson Xavier NX and 3x the performance of Jetson AGX Xavier. Combining the Nvidia Ampere architecture with 64-bit support, Jetson Orin NX integrates advanced multi-functional video and image processing and Nvidia Deep Learning accelerators. The device is equipped with 16 GB of RAM and 128 GB of external NVMe SSD memory.

The complete kit includes the Nvidia Jetson Orin NX 16GB module, heatsink and power supply. Nvidia JetPack 5.1 is installed on the reComputer J4011, which simplifies development and allows the implementation of Edge AI solutions working in video analytics, object detection, natural language processing, medical imaging and robotics in various industries of smart cities, security, industrial automation, smart factories .

J3011 recomputer enclosed in a housing

The whole is enclosed in an aluminum housing.

reComputer J3011

reComputer J4012 is equipped with rich interfaces.

Main features of the reComputer J4012 module

  • Outstanding AI performance : On-device AI performance up to 70 TOPS 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 NX 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.

Computer Vision, Machine Vision and Speach AI

  • The Nvidia DeepStream SDK provides a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
  • The Nvidia TAO Toolkit , based on TensorFlow and PyTorch, is a low-code version of the Nvidia TAO framework that speeds up model training.
  • alwaysAI allows you to build, train and deploy computer vision applications directly on reComputer edge devices. It gives you free access to over 100 pre-trained computer vision models and allows you to train custom AI models in the cloud with just a few clicks with an enterprise subscription. Check out the guide .
  • Edge Impulse is the easiest built-in machine learning pipeline to deploy audio, object detection classification applications
  • Roboflow provides tools to convert raw images into a specially trained computer model for object classification detection and deploy the model for use in applications.
  • Ultralytics' YOLOv5 : Leverage transfer learning to realize object detection with YOLOv5, which requires only a few training samples. Check out the guide .
  • Deci : Optimize your models on Nvidia Jetson Nano. Check out this webinar at Deci on automated benchmarking and runtime performance optimization on Nvidia Jetson Nano and Xavier NX devices.
  • Nvidia Riva is a GPU-accelerated SDK for building Speach AI apps that are tailored to your use case and deliver real-time performance.
Kit contents


The reComputer J4012 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, boot loader, Nvidia drivers, flashing tools, 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 NX 16GB module
  • Seeed carrier plate
  • 128GB NVMe SSD
  • Aluminum radiator with fan
  • Aluminum housing (black)
  • Power adapter 12 V / 5 A (DC 5.5 / 2.5 mm, power cord not included)

Interfaces in reComputer Jetson

The J4012 is a small board with a rich interface and high performance that allows you to bring new possibilities to all embedded AI 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 J401x board.

SPECIFICATION AND COMPARISON
Product reComputer J4011 reComputer J4012
Module Jetson Orin Nano 8GB Jetson Orin Nano 16GB
AI performance 700 TOPS 700 TOPS
GPU
Nvidia Ampere 1024 cores with 32 Tensor Cores
GPU clock 765MHz 918MHz
CPU 6 Core Nvidia Arm Cortex A78AE v8.2 1.5MB L2 + 4MB L3 8 Cores Nvidia Arm Cortex A78AE v8.2 2MB L2 + 4MB L3
CPU clock speed
2GHz
RAM 8GB 128-bit LPDDR5 102.4GB/s 16GB 128-bit LPDDR5 102.4GB/s
DL accelerator 1x NVDLA v2 2x NVDLA v2
Maximum DLA frequency
614MHz
Vision Accelerator
1x PVA v2
Memory
(supports external NVMe devices)
video encoder

1x 4K60 (H.265) | 3x 4K30 (H.265)

6x 1080p60 (H.265) | 12x 1080p30 (H.265)

Video decoder

1x 8K30 (H.265) | 2x 4K60 (H.265) | 4x 4K30 (H.265)

9x 1080p60 (H.265) | 18x 1080p30 (H.265)

display
1 x HDMI 2.1
CSI camera
2x CSI (2-lane 15-pin)
Network
1x Gigabit Ethernet (10 / 100 / 1000 Mbps)
USB
4x USB 3.2 Type A (10Gbps)
1x USB 2.0 Type-C (Device Mode)
M.2 Key M
1x M.2 Key M
M.2 Key E
1x M.2 Key E
Fan connector
1x 4-pin (5V PWM)
CAN
1x CAN
Multi-functional port
1x 40-pin expansion connector, 1x 12-pin control and UART connector
RTC
2-pin, RTC socket for CR1220 battery (not included)
Supply voltage
from 9V to 19V
Power
DC 12V/5A (DC Jack 5.5/2.5mm)
Working temperature
from -10°C to 60°C
Dimensions
130x120x58.5mm

UC - Core Cortex A78AE
UC - RAM 16 GB
UC - External memory SSD 128 GB
UC - freq 2.0 GHz
UC - Ethernet yes
UC - USB 4x USB
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 11 cm
Package depth 14.5 cm
Package weight 0.56 kg

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