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Home » Seeed Studio NV Jetson Series » Jetson SUB Mini PC-Black with 8GB NX Module (256GB SSD + Fanless/Passive Cooling + OLED Screen + Industrial Grade)

Jetson SUB Mini PC-Black with 8GB NX Module (256GB SSD + Fanless/Passive Cooling + OLED Screen + Industrial Grade)

Jetson SUB Mini PC-Black is based on the Jetson Xavier NX module, which delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. Big passive heat dissipation design and OLED make it convenient to achieve quiet and dust forbid situations. With the carrier board, heatsink, pre-installed OS and enclosure, you get your Jetson mini PC with the performance of 384 NVIDIA CUDA® Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 59.7GB/s of memory bandwidth, video encoded, and decoded, these features make the module of Jetson Mini PC (Jetson Xavier NX) the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously. 

Features

  • Compact design for a mini PC with an overall dimension of 205mm x 130mm x 65mm
  • Powered by the6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
  • 384-core NVIDIA Volta™ GPU with 48 Tensor Cores provides 21 TOPS AI performance
  • Rich peripherals including Dual gigabit ethernet ports, 4 USB 3.0 Type-A ports, and HDMI port
  • Pre-installed Wifi module and antenna
  • Pre-installed 256 GB (2.5 inch SATA) SSD
  • Pre-installed OLED screen showing ports occupation and storage state, customaziation allowance
  • Big passive heat dissipation with fully-sealing design
  • Pre-installed NVIDIA official JetPack software, ready to use
 

Description

Strong module – Jetson Xavier NX 

At 70 mm x 45 mm, Jetson Xavier NX packs the power of the NVIDIA Xavier SoC into a module the size of a Jetson Nano™. This compact module combines exceptional performance and power advantage with a rich set of IOs—from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.

  • POWERFUL 21 TOPS AI PERFORMANCE

Jetson Xavier NX delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA® Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 59.7GB/s of memory bandwidth, video encoding and decoding, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.

  • INCREDIBLE POWER EFFICIENCY

Jetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire NVIDIA software stack. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.

Powerful carrier board and heatsink

The NVIDIA® Jetson Xavier NX™ module has assembled with its carrier board and they together called a ‘Kit’. It brings supercomputer performance to the edge. It includes a Jetson Xavier NX module for developing multi-modal AI applications with the NVIDIA software stack in as little as 10 W. You can also now take advantage of cloud-native support to more easily develop and deploy AI software to edge devices.

The kit is supported by the entire NVIDIA software stack, including accelerated SDKs and the latest NVIDIA tools for application development and optimization. Meanwhile, we install a Wifi module (USB 2.0), 256GB SSD (2.5 inch SATA) and two antennas. Users could just power the product, log in and use it directly.

The whole Aluminium enclosure satisfied well heat dissipation passively. No-Fan design allows Jetson SUB Mini PC-Black to work quietly and will not explore dust.  

Compatible enclosure

With an overall dimension of 205mm x 130mm x 65mm, it is only around 1/8 of the size of an ordinary computer case which makes it possible to be placed on a table, on a shelf, on any surface you want to be. The back screw holes allow you to hang the product on the back of your Computer Screen. The neat structure of our mini PC kit also makes it simple to access the SSD and PCIe slots which allow for easy installation, upgrade and maintenance.

Also, Fully sealing design allows it works in the kitchen, industrial controlling and other harsh environments.

Pre-installed OLED:

The OLED will automatically show the state of ethernet ports, memory and SSD.  You could customize the content on OLED as you like.

Specifications

  Jetson SUB Mini PC-Blue Jetson SUB Mini PC-Black Jetson SUB Mini PC-Silver Jetson EX1 Mini PC-Ubuntu
Module NVIDIA JETSON XAVIER NX
AI Performance 21 TOPs(INT8)
CPU 6-core 64-bit CPU, NVIDIA Carmel ARMv8.2
GPU 384-core NVIDIA Volta GPU
Memory 8 GB 128-bit LPDDR4x 59.7GB/s
Module Storage 16 GB eMMC 5.1
Carrier Board Storage 128GB M.2 NVME   SSD 256GB SATA 128GB M.2 NVME   SSD 256GB M.2 NVME   SSD
OS JetPack 4.6 JetPack 4.4 JetPack 4.6 Ubuntu 18.04
Wifi Pre-installed M.2 E Wifi Pre-installed USB 2.0 Wifi Pre-installed M.2 E Wifi  \
Power 19V DC 19V DC 19V DC 12V DC
Display

1* HDMI / 1* DP

1* HDMI / 1* DP

1* HDMI / 1* DP

1* HDMI / 1* DP

1* OLED screen
USB 4* USB3.0(USB 2.0  Integrated), 4*USB3.0(USB 2.0  Integrated), 4*USB3.0(USB 2.0  Integrated), 1*USB3.0(USB 2.0  Integrated)
1*Micro USB 1*USB Type C 1*Micro USB 1*Micro USB,
      1*USB2.0
Network 1* Gigabit Lan 2* Gigabit Lan*2 1* Gigabit Lan 2* Gigabit Lan
Dimension 130mm x120mm x 50mm 205mm x 130mm x 65mm 130mm x90mm x60mm 134mm x135mm x46mm
Key feature Blue Aluminum Case;  Whole Black Aluminium Frame; Whole Silver Aluminium Frame; Whole Black Aluminium Frame;
Removable  transparent Cover; Big passive  dissipation ; Portable Oval Size Narrow space fit,
Mounting hole design OLED screen   Multiple software 
drivers installed
Reference application Indoor AIoT, Home development, etc. Industry IoT, 
Harsh environment applications, etc.
Smart Office, Smart Home, Education, etc. Industry control, Lab,  etc.
Module Technical Specifications
AI Performance 21 TOPS
GPU 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
CPU 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU, 6MB L2 + 4MB L3
Memory 8 GB 128-bit LPDDR4x, 59.7GB/s
Storage 16 GB eMMC 5.1
Power 10 W | 15 W | 20W
PCIe 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s*
CSI Camera Up to 6 cameras (24 via virtual channels)
12 lanes (3×4 or 6×2) MIPI CSI-2
D-PHY 1.2 (up to 30 Gbps)
Video Encode 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)
Video Decode 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
Display 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
DL Accelerator 2x NVDLA Engines
Vision Accelerator 7-Way VLIW Vision Processor
Networking 10/100/1000 BASE-T Ethernet
Mechanical 69.6 mm x 45 mm
260-pin SO-DIMM connector

 

Carrier Board Connector Summary: 

Feature

Carrier board for NVIDIA® Jetson™ Nano/NX/TX2 NX

Module Compatibility  

 NVIDIA® Jetson™ Nano/NX /TX2 NX

PCB Size / Overall Size

170mm x 100mm  

Display   

1x HDMI | 1x DP

Ethernet

2x Gigabit Ethernet (10/100/1000M)

USB

4x USB 3.0 Type A (Integrated USB 2.0)

1x USB 2.0 Type C(Support OTG)

SATA

Pre-installed 256GB 2.5 inch SATA SSD  

USB WIFI Mode

Pre-installed Wifi module

(802.11ac and 2.4/5G ITIR mode with support of 433Mbps PHY rate)

CSI Camera 

6 x Camera (MIPI CSI-2 )

TF_Card

1 x TF_Card

Audio

1 x Audio Jack,2 x Microphone, 2 x Speaker(1W)

SPI Bus

1 x SPI Bus(+3.3V Level)

FAN

2 x Fan(12V/5V),1 x FAN(5V PWM)

CAN

1 x CAN

Misc.

1 x System Control

1 x Power Control

 2x I2C Link (+3.3V I/O)

1 x UART(+3.3V Level)

2 x GPIO(+3.3V Level)

2 x SPI Bus(+3.3V Level)

1 x LED State

Power Requirements

+13V to +19V DC Input @ 8A

Operating Temperature

-25° to +80°

 

Application

  • AIoT
  • Industrial IoT
  • Computer Vision
  • Smart Logistic
  • Harsh environment(dusty, smoky, etc) suitable
  • Sentiment Analysis


Jetson Xavier NX is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other AIoT embedded systems.

Jetson Xavier NX now features cloud-native support that lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from NVIDIA NGC and the TAO Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates. Jetson Xavier NX accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2.

You can build fast AI projects with NVIDIA pre-trained models specially built for various industry examples, and accelerate the process model from the PoC to production. It can be easily used in common computer vision examples to collect statistics and statistics in dense artificial intelligence areas statistics. With its Passive heat dissipation and fully-sealing design, Jetson SUB Mini PC-Black is good to work in harsh environments like Industry, Datacenter, kitchens, Smart farms, hospitals, etc.

Part List

  • 1 x Aluminium Frame Black
  • 1 x Jetson Xavier NX module 
  • 1 x Carrier board 
  • 1 x 19V/4.74A (MAX 90W) Power Adapter (Power cable not included)
  • 2 x Antennas 


Note

  • We will not include power cable, please choose a suitable cable form according to your country.

  • We will not include RTC battery (CR1220)

  • Not fan included, we adopt a big passive heat dissipation design.

  • We have already installed JetPack™ 4.4 system, the login password is ‘nvidia’. The upcoming system will be upgraded as 4.6. If you want to reflash the system, you need to enter recovery mode, please follow our wiki on how to enter recovery mode and flash system.