Jetson SUB Mini PC-Silver 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 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.
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.
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 KEY M) and two antennas. Users could just power the product, login and use it directly.
With an overall dimension of 130mmx90mmx60mm, it is only around 1/12 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. Portable and beautiful oval design make Jetson SUB Mini PC-Silver suitable to be placed at home or office. Besides, Mini PC-Silver is easy to be carried, quickly placed and removed outdoor.
|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)|
|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|
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
|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||Description|
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|
|3V Lithium Battery||1*3V backup battery|
|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 (1×4, 2.54mm pitch, RA)|
|Button Header||1*Button Header (1×12, 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. Its small and neat design enables Mini PC-Silver to take a role in Smart Home and Smart Office Control.
We will not include a power cord, please choose a suitable form according to your country.
We will not include a 3V RTC battery (CR1220).
We have already installed JetPack™ system, the login password is ‘nvidia’. 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.
Before using it, you need to open a terminal and execute the following:
1. cd /home/nvidia
2. sudo./ssd extern.sh
to make sure the roofs expands to take the unallocated 110GB space.