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Home » Seeed studio » Jetson SUB Mini PC-Blue with Jetson Xavier NX module, Aluminium case with cooling fan, 128GB SSD, WiFi, Antennas and pre-installed JetPack System

Jetson SUB Mini PC-Blue with Jetson Xavier NX module, Aluminium case with cooling fan, 128GB SSD, WiFi, Antennas and pre-installed JetPack System

Jetson SUB Mini PC-Blue is based on Jetson Xavier NX module, which delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. With the carrier board, heatsink preinstalled 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 SUB 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 130mm*120mm*50mm
  • 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 Gigabit Ethernet port, 4 USB 3.1 Type-A ports, HDMI port and DP port
  • Pre-installed Wifi module and antenna
  • Pre-installed 128GB (M.2 key M) SSD
  • Mounting design
  • Easy to install, upgrade and maintain with ease of access to the internal components after opening the enclosure
  • Pre-installed NVIDIA official JetPack software, ready to use
  • Compatible with Nimbus: connect your ROS project to the cloud

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 encoded and decoded, 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 a carrier board and cooling fan 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 (M.2 KEY E), 128GB SSD(M.2 M NVME) and two antennas. Users could just power the product, log in and use it directly.

Compatible enclosure

With an overall dimension of 130mm*120mm*50mm, it is only around 1/10 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 it 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.

Note:

  • The top acrylic cover is removable. If you want to add a HAT or Cape on your SBC inside the case, there is no need to re-screw the whole case because the top acrylic layer is designed to be removed easily.
  • Check the link for more case detail.
  • It is also compatible with all popular SBCs. we have designed and left screw holes for the installation of the most popular SBCs including  ODYSSEY – X86 boardRaspberry PiBeagleBone and Jetson Nano. 

Specifications

 Jetson SUB Mini PC-BlueJetson SUB Mini PC-BlackJetson SUB Mini PC-SilverJetson EX1 Mini PC-Ubuntu
ModuleNVIDIA JETSON XAVIER NX
AI Performance21 TOPs(INT8)
OSJetPack 4.6Ubuntu 18.04
CPU6-core 64-bit CPU, NVIDIA Carmel ARMv8.2
GPU384-core NVIDIA Volta GPU
Memory8 GB 128-bit LPDDR4x 59.7GB/s
Module Storage16 GB eMMC 5.1
Carrier Board Storage128GB M.2 NVME   SSD256GB SATA128GB M.2 NVME   SSD256GB M.2 NVME   SSD
WifiPre-installed M.2 E WifiPre-installed USB 2.0 WifiPre-installed M.2 E Wifi \
Power19V DC19V DC19V DC12V DC
Display1* HDMI / 1* DP1* HDMI / 1* DP1* HDMI / 1* DP1* HDMI / 1* DP
1* OLED screen
USB4* 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 USB1*USB Type C1*Micro USB1*Micro USB,
   1*USB2.0
Network1* Gigabit Lan2* Gigabit Lan*21* Gigabit Lan2* Gigabit Lan
Dimension130mm x120mm x 50mm205mm x 130mm x 65mm130mm x90mm x60mm134mm x135mm x46mm
Key featureBlue Aluminum Case; Whole Black Aluminium Frame;Whole Silver Aluminium Frame;Whole Black Aluminium Frame;
Removable  transparent Cover;Big passive  dissipation ;Portable Oval SizeNarrow space fit,
Mounting hole designOLED screen Multiple software 
drivers installed
Reference applicationIndoor AIoT, Home development, etc.Industry IoT, 
Harsh environment applications, etc.
Smart Office, Smart Home, Education, etc.Industry control, Lab,  etc.
Module Technical Specifications
AI Performance21 TOPS
GPU384-core NVIDIA Volta™ GPU with 48 Tensor Cores
CPU6-core NVIDIA Carmel ARM®v8.2 64-bit CPU, 6MB L2 + 4MB L3
Memory8 GB 128-bit LPDDR4x, 59.7GB/s
Storage16 GB eMMC 5.1
Power10 W | 15 W | 20W
PCIe1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s*
CSI CameraUp 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 Encode2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)
Video Decode2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
Display2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
DL Accelerator2x NVDLA Engines
Vision Accelerator7-Way VLIW Vision Processor
Networking10/100/1000 BASE-T Ethernet
Mechanical69.6 mm x 45 mm
260-pin SO-DIMM connector
Carrier board ConnectorDescription
HDMI Port

1* HDMI / 1* DP

USB 3.0 Type A4*USB 3.0 Type A Connector
NVIDIA Gigabit Ethernet1*RJ45 Gigabit Ethernet Connector (10/100/1000)
DC Power1*DC Input Power TE Connector
FAN Connect1*Picoblade Header
M.2 KEY E 2230

Pre-installed Wifi module

(802.11ac, Dual Band, 80MHZ, MU-MIMO & Bluetooth 4.2)

CSI Camera Connect2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Multifunctional port2.0 Pitch 40 PIN
M.2 KEY M 2280Pre-installed 128GB NVME SSD  
NVIDIA Jetson Nano/NX/TX2 NX connector1*Jetson SODIMM connector, 260-pin
CAN1*CAN Bus Header (1×4, 2.54mm pitch, RA)
Button Header1*Button Header (1×12, 2.54mm pitch, RA)
USB Micro Type B1*USB Micro B, RA Female
RTC1*RTC Back-up Coin Cell Socket (CR1225)


Application

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. For example, detecting personnel, detecting and diagnosing vehicles, detecting and identifying license plates at toll gates, parking management, patient movement monitoring in medical and health institutions, etc. Yes, you can use it to monitor the driver’s fatigue driving state like below.

Seeed is glad to partner with Cogniteam, aiming at delivering the easiest ever robot development process, from prototyping to production, including configuration, testing, deployment, and operations management. Try Nimbus with Seeed’s Jetson Platform carrier boards and Jetson Sub kit, attach sensors such as RPLidar and cameras to build your create your robotic application from scratch. You can also seamlessly connect your existing ROS projects to Nimbus. Based on the open-source Robot Operating System (ROS), Nimbus is truly a ‘plug and play’ solution.

Part List

1 x Acrylic Cover

1 x Aluminium Frame 

1 x Jetson Xavier NX module 

1 x Heatsink 

1 x Carrier board 

1 x 19V/4.74A (MAX 90W) Power Adapter (Power cable not included)

2 x Antennas 

Advantages Over the Original Version

 

Jetson Xavier NX Developer Kit

Jetson SUB Mini PC

AI Performance

6TFLOPS(FP16)

21TOPS(INT8)

21TOPS(INT8)

GPU

NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores

NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores

CPU

6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3

6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3

Memory

8 GB 128-bit LPDDR4x @ 51.2GB/s

8 GB 128-bit LPDDR4x @ 59.7GB/s

Display

HDMI and DP

2* HDMI / 2* HDMI+1* OLED screen

OS

None

JetPack4.6 / Ubuntu 18.04

Dimensions

103 x 90.5 x 31(mm)

130 x 120 x 50(mm)/

205 x 130 x 65(mm)/

130 x 90 x 60(mm)/

134 x 135 x 46(mm)

Video Encode

2x 4K 30

6x 1080p 60

14x 1080p 30 (H.265/H.264)

2x 4K 60

4x 4K 30

10x 1080p 60

22x 1080p30 (H.265/H.264)

Video Decoder

2x 4K 60

4x 4K 30

12x 1080p 60

32x 1080p 30 (H.265)

2x 8K 30

6x 4K 60

12x 4K 30

22x 1080p 60

44x 1080p 30 (H.265)

2x 4K 30

6x 1080p 60

16x 1080p 30 (H.264)

2x 4K 60

6x 4K 30

10x 1080p 60

22x 1080p 30 (H.264)

M.2 Interfaces

Original

M.2 Key E 2230

Pre-installed Wifi module(802.11ac,Dual Band, 80MHZ, MU-MIMO&Bluetooth 4.2)

M.2 Key M 2280

Pre-installed 128GB NVME SSD

CAN

None

1*CAN Bus Header(1×4,2.54mm pitch,RA)

Button Header

None

1*Button Header(1×12,2.54mm pitch,RA)

RTC

None

1*RTC Back-up Coin Cell Socket(CR1225)

Antenna

None

2 x Antenna

Appearance

Only Board

Acrylic sheet and metal shell