Reviews Jetson Nano Accessories

Yahboom Jetson Nano 4GB SUB Developer Kit Nano B01 with 16G-eMMC Based on Official Jetson Nano 4GB Core Module (Jetson Nano 4GB SUB) (SUB Separate Board)

  • 4GB SUB B01 substitute ≠ official B01 (slight difference),.
  • 【Perfect Alternative】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory. Please note that the SUB does not have an SD card slot, and the expansion of memory can only be solved through a U disk.
  • The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUD....
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Yahboom Jetson Nano 2GB/4GB Robotic Jetbot Mini AI Programmable Python Robot Kit ROS Starter for University (2GB Ver Jetbot Mini Without Nano)

  • ...zed】Jetbot mini's App can control the robot by joystick and gravity, control and screen are integrated into the APP to realize FPV viewing angle anytime anywhere.
  • 2GB and expansion board are connected through 40PIN pin header in-line connection, no Dupont cable is required, and it is more stable and tidy..
  • 【Accessories】Equipped with TF card which burned mirror image, users just run the corresponding program to achieve the corresponding function.
  • 12.6V power battery pack with overcurrent protection, more stable power supply and longer, no need to remove the motherboard when changing the battery.
  • USB3.0 wireless network card, smooth control. Yahboom has been making better quality maker robots. (▶NOTE: Jetson Nano NOT Include ,you must prepare by yourselves, otherwise this robot can't start).
  • 【High-quality after-sales service】Jetbot Mini's code is all open source. Yahboom provides comprehensive online courses and installation videos. Technical assistance will also help you solve difficulties at any time. Please feel free to contact us. This is a cost-effective choice for starting Jetson Nano series programming..
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Yahboom Jetson Nano 4GB SUB Developer Kit with 16G-eMMC Based on Official Jetson Nano 4GB Core Module (UNO Balance Car)

  • 【Perfect Alternative】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory. Please note that the SUB does not have an SD card slot, and the expansion of memory can only be solved through a U disk.
  • The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, ....
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Waveshare 7.5inch E-Paper E-Ink Display HAT (B) for Raspberry Pi 800×480 Pixels Red/Black/White Three-Color with SPI Interface

  • No backlight, keeps displaying last content for a long time even when power down.
  • Ultra low power consumption, basically power is only required for refreshing.
  • Standard Raspberry Pi 40PIN GPIO extension header, supports Raspberry Pi series boards, Jetson Nano.
  • SPI interface, for connecting with controller boards like Raspberry Pi/Jetson Nano/STM32, etc..
  • Onboard voltage translator, compatible with 3.3V / 5V MCUs. Comes with development resources and manual (examples for Raspberry Pi/Jetson Nano/STM32).
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Yahboom Jetson Nano/TX2-NX/Xavier NX/Raspberry Pi ROS Robot Lidar Mapping Navigation Depth Image 3D Analysis Mecanum Wheel Python Programming Learn Explore Robotic Kit (Pi Superior Ver-Without Pi)

  • ...expansion board. This is a professional ROS robot that supports more development. Users can develop and learn again in the existing courses. Note: Yahboom only provides technical assistance for existing courses. All in-depth development needs to be completed by customers themselves..
  • VERY IMPORTANT: All ROSMASTER X3 accessories without a development board are also different. For example: ROSMASTER X3 without Raspberry Pi and ROSMASTER X3 without Jetson Nano, there are different accessories in it, make sure what development board you will use in the future before ordering..
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Geekworm T300 V1.1 2.5 inch SATA SSD/HDD Shield Storage Expansion Board Compatible with Jetson Nano A02/B01/2GB/4GB Developer Kit

  • Geekworm 2.5" SATA HDD/SSD storage board compatible NVIDIA Jetson Nano A02/B01/2GB/4GB that supports up to 4TB 2.5-inch SATA hard disk drives (HDD) or solid-state drive (SSD), User manual, refer to Geekworm WiKi search T300..
  • Ideal storage solution for Jetson Nano- 2.5" SATA HDD/SSD Shield.
  • for the T300 metal case, refer to ASIN: B07W7CNSR8.
  • for the T130 mSATA SSD shield, refer to ASIN: B088N6VZL8..
  • A good quality power supply is required, otherwise the hard disk will not be recognized or the system will automatically shut down. THIS IS VERY IMPORTANT!! Strongly recommend ASIN: B07413Q5Y4.
  • Specially-made USB3.1 bridge to connect with Jetson Nano - no additional cables needed.
  • Intelligent power management - Automatic powering off when system shutdown.
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seeed studio - Grove - HCHO Sensor (Semiconductor VOC Gas Based WSP2110)

  • 【Powerful and Compact】Jetson Mate is a carrier board which can install up to 4 Jetson Nano/NX SoMs. There is an on board 5-port gigabit switch enabling the 4 SoMs to communicate with each other.
  • 【Easy to build and config】One master node with 3 worker nodes with the ability to power on/off the worker nodes separately.With one 65w PD power adapter and 1 ethernet cable, developers can easily build their own Jetson Cluster.
  • 【Applications】GPU Server,GPU Cluster,Homelab,etc..
  • 【Part List】Jetson Mate x 1,Jeston Mate Cooling Fan Top x 1,Jetson Mate Dedicated Case x 1.
  • 【Note】The kit does not include the 65w PD power supply, please make sure you have this sort of power supply for charging.
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Geekworm DC 5V 4007 40MM 4CM 40x40x7MM Cooling Fan for NVIDIA Jetson Nano Developer Kit and Jetson Nano Metal Case/T100 Case/T300 Case

  • Note: This cooling fan does not support PWM and speed feedback.
  • The NVIDIA Jetson Nano Developer Kit is not included in the packing list..
  • This 5V cooling fan supports to install in Geekworm NVIDIA Jetson Nano Metal Case (ASIN: B07RRRX121).
  • T300 Metal Case(ASIN: B07W7CNSR8), T100 Metal Case(ASIN: B07VYKRJQY).
  • This is an ultra-quiet cooling fan for NVIDIA Jetson Nano Developer Kit.
  • it with a 2.54 DuPont connector which is easy to insert. About how the install the fan, please refer to the photo..
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NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)

  • The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started..
  • The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers..
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UCTRONICS Jetson Nano Rackmount, 19\ 1U Rack Mount Supports 1-4 Units, Front Removable with Captive Loose-Off Screws, Compatible with All Nvidia Jetson Nano A02 B01/ 2G Developer Kit

  • This 19-inch rackmount is specifically designed to house Jetson Nano boards, compatible with all models A02 B01, 2GB developer kit. The rackmount is also compatible with the Jetson Xavier NX, but the Bluetooth & wifi base on the bottom of it needs to be removed for a perfect fit..
  • This Jetson rackmount is capable of holding up to 4 modules, it allows you to enjoy rackmount solutions for multiple different types of SBCs..
  • Easy Installation: Fixed with exquisite captive loose-off screws. Perfectly protect your Jetson nano from falling to the ground. All you have to do is rotating the screws. The total installation process will not exceed 10 minutes..
  • Front Removable: Use Captive loose-off screws for true no-installation, no screwdriver is needed to introduce your module into the enclosure..
  • Application: This is a housing solution to optimize the workspace, simple and well made, providing an aesthetically pleasing way to keep things organized. It also can be used for Jetsons clusters, video walls, and so on.
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Dedicated DC 12V Cooling Fan for NVIDIA Jetson Nano Developer Kit 3PIN Reverse-Proof Connector 40mm×40mm×10mm Fan

  • Dedicated Cooling Fan for NVIDIA Jetson Nano Developer Kit.
  • Note: Jetson Nano Developer Kit and Acrylic Case are NOT included..
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2 Pack Dedicated DC 5V-12V Cooling Fan for NVIDIA Jetson Nano Developer Kit 3PIN Reverse-Proof Connector 40mm×40mm×10mm Fan

  • 2 Pack Dedicated Cooling Fan for NVIDIA Jetson Nano Developer Kit.
  • Note: Jetson Nano Developer Kit and Acrylic Case are NOT included..
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Breaking BUD/S: How Regular Guys Can Become Navy SEALs (formerly The SEAL Training Bible)

  • The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started..
  • The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers..
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