New Stock Deals are ON! Industrial IOT, Sensing & Control Solutions, and Integration to Suit Your Requirements.

Cart 0

Jetson SUB Mini PC-Blue with Jetson Xavier NX module 128GB SSD, WiFi

  • $1,329.00
  • Save $50
  • (Exc. GST)

  • This product is order-in-only and not regularly kept in stock. Lead time to ship within about 3-4 weeks.

  • Shopify secure badge
  • $ We Ship from our stock in AU (Perth), and Prices (AUD) are Exc. GST
  • $ We Offer Quantity Discounts for Large Orders (Request for Quote)
  • $ We Accept Purchase Orders & Net30 Payment for Educational Institutes

    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 the Jetson Xavier NX module, which delivers up to 21 TOPS, making it ideal for high-performance computing 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.

    • 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

    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.


    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.


    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.


    • 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.
    • 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. 


    Jetson SUB Mini PC-Blue Jetson SUB Mini PC-Black Jetson SUB Mini PC-Silver Jetson EX1 Mini PC-Ubuntu
    AI Performance 21 TOPs(INT8)
    OS JetPack 4.6 Ubuntu 18.04
    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
    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,
    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 (3x4 or 6x2) 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 Description
    HDMI Port

    1* HDMI / 1* DP

    USB 3.0 Type A 4*USB 3.0 Type A Connector
    NVIDIA Gigabit Ethernet 1*RJ45 Gigabit Ethernet Connector (10/100/1000)
    DC Power 1*DC Input Power TE Connector
    FAN Connect 1*Picoblade Header
    M.2 KEY E 2230

    Pre-installed Wifi module

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

    CSI Camera Connect 2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
    Multifunctional port 2.0 Pitch 40 PIN
    M.2 KEY M 2280 Pre-installed 128GB NVME SSD  
    NVIDIA Jetson Nano/NX/TX2 NX connector 1*Jetson SODIMM connector, 260-pin
    CAN 1*CAN Bus Header (1x4, 2.54mm pitch, RA)
    Button Header 1*Button Header (1x12, 2.54mm pitch, RA)
    USB Micro Type B 1*USB Micro B, RA Female
    RTC 1*RTC Back-up Coin Cell Socket (CR1225)


    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.

    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 

    Note: The power cord and 3V RTC battery (CR1220) are not included

    We Also Recommend



    Sold Out