Nvidia single-board minicomputers are a perfect combination of super-efficient multi-core processors and highly miniaturized electronics. Such a marriage is the result of many years of experience of Nvidia engineers in the field of developing chips for parallel processing of graphics and video, transferred to small printed circuit boards with an edge connector. This is how the most modern SoM (System-on-Module) modules were created, which are able to breathe the computing power of a workstation into almost any device. The offer of the Botland store includes a large range of accessories designed to work with Nvidia minicomputers and dedicated development kits from manufacturers such as Seeedstudio or Waveshare.
Accessories for Nvidia
Fan for Nvidia Jetson Nano - 40x40x10mm 5V - 3 wires with reverse protection - Waveshare 16990
Small size fan 40 x 40 x 10 mm with 5V supply voltage. It is compatible with Nvidia Jetson Nano minicomputer. It can also be used as a cooling element in Raspberry Pi or...WiFi network card Intel 8265AC - for Nvidia Jetson Nano
WiFi network card based on Intel 8265AC chip. Compatible with Nvidia Jetson Nano , it allows 4.2 Bluetooth wireless communication and 2.4 GHz and 5 GHz WiFi at speeds up...Official Cooling Fan for NVIDIA Jetson Xavier NX - NX-FAN-PWM - Waveshare 21600
The official fan designed to cool the NVIDIA Jetson Xavier NX minicomputer. The fan is controlled by the PWM signal , what's more, the user can adjust the speed of...ArduCam IMX219 8Mpx 1/4" camera - wide angle - for NVIDIA Jetson Nano - ArduCam B0179
Camera module dedicated for use with NVIDIA Jetson Nano minicomputer. Equipped with IMX219 sensor of 8 Mpx resolution with wide angle lens M12 175° (D). The lens used...IMX477P 12,3 MPx HQ camera with 6mm CS-Mount lens - for Raspberry Pi - ArduCam B0240
The camera is equipped with IMX477P sensor in 1/2.3" format and 12.3 MPx resolution . The maximum resolution is 4056 x 3040 px. The camera is equipped with lens with 6...Sony IMX219-120 8Mpx camera - compatible with Jetson Nano - Waveshare 16579
Sony IMX219-120 camera module equipped with IMX219 sensor compatible with Jetson Nano. The camera is equipped with 8 Mpx sensor. The maximum recording resolution is 3280 x 2464...Arducam IMX219 8Mpx 1/4"camera for NVIDIA Jetson Nano - M12 - NoIR - Arducam B0187
Camera designed to work with the NVIDIA Jetson Nano board . The camera has an IMX219 sensor with 8 Mpx resolution and factory lens. The great advantage of this set is low...- Reduced price
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reComputer J101 - carrier board for Nvidia Jetson Nano - Seeedstudio 102991694
reComputer J101 is a rich interfaces expansion board for Nvidia Jetson Nano . It is equipped with a slot for connecting the Nvidia Jetson Nano module, as well as interfaces...- Reduced price
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OV2311 2Mpx Mono camera Global Shutter with M12 NoIR lens for Nvidia Jetson Nano - Arducam B0221
Arducam camera module for Nvidia Jetson Nano minicomputer. The camera is equipped with OmniVision OV2311 Global Shutter sensor , 2 Mpx monochrome resolution and M12...Nvidia Jetson IO Base-A V2 - expansion board for Nvidia Jeston Nano - Waveshare 21650
The Jetson IO Base-A V2 board was designed to work with the Nvidia Jetson Nano module. On the board you can find an Ethernet Gigabit port, 4x USB 3.0, HDMI, DisplayPort, GPIO,...Time of Flight Camera for Raspberry Pi - Arducam B0410
Camera using Time of Flight technology, equipped with a MIPI-CSI2 connector and offering a measurement range of up to 4 meters with an accuracy of 2 cm. The resolution of...Camera Module Sony IMX219 8MPx autofocus - for Raspberry Pi - ArduCam B0182
Replacement module for official v2 camera for Raspberry Pi. It is equipped with a Sony IMX219 sensor with 8 MPx resolution and software-controlled focus , without any...- Reduced price
- Promotion
OV9281 1Mpx Mono camera Global Shutter with M12 NoIR lens for Nvidia Jetson Nano - Arducam B0223
The camera created by Arducam is a part of Jetvariety project which allows to connect any camera module to the high-speed CSI-2 connector of Nvidia Jetson Nano minicomputer....- Reduced price
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JeTank AI Kit - AI tracked mobile robot - Waveshare 20986
Waveshare JeTank is a tracked robot platform that requires the Nvidia Jetson Nano minicomputer to work properly. The Nvidia Jetson Nano module with the IMX219 camera...JeTank AI Kit - AI tracked mobile robot with Nvidia Jetson Nano - Waveshare 20876
Waveshare JeTank tracked robot platform based on the Nvidia Jetson Nano minicomputer. Thanks to the Nvidia Jetson Nano module, the robot can track objects using artificial...reComputer J202 - carrier board for Jetson Nano/Xavier NX/TX2 NX - Seeedstudio 102991714
reComputer J202 is a high-performance, interface-rich carrier board compatible with Nvidia Jetson Nano / Xavier NX , equipped with HDMI 2.0, DisplayPort, Gigabit Ethernet,...IMX477P 12,3MPx camera with M12 lens - compatible with Nvidia Jetson - ArduCam B0251
The camera is equipped with IMX477P sensor with 1/2.3" format and 12.3 MPx resolution. Compatible with Nvidia Jetson Nano and Xavier NX minicomputers, uses CSI-2 interface...Environment Sensors Module for Jetson Nano, I2C with 1.3'' OLED Display - Waveshare 19486
RS485 CAN expansion board for Jetson Nano with digital isolation - Waveshare 22026
Expansion board for minicomputer Nvidia Jetson Nano with an additional communication interface - RS485 / CAN . The module is secured with additional digital isolation to...A607 Carrier Board - extension board for Nvidia Jetson Orin NX/Nano - Seeedstudio 102110841
The A607 Carrier Board is a versatile expansion board for the Nvidia Jetson Orin NX and Nvidia Jetson Orin Nano modules. It provides high-performance networking, expanded...A603 Carrier Board - expansion board for Nvidia Jetson Orin NX/Nano - Seeedstudio 102110840
The A603 Carrier Board is an expansion board for the Nvidia Jetson Orin NX and Orin Nano modules. Equipped with a Gigabit Ethernet port, M.2 Key M and M.2 Key E connectors,...- New
Implementation issues of SoM modules in own projects
The use of a minicomputer in the form of an SoM module in your own device requires the design of a base board that must meet all the requirements of high-speed digital circuits. Routing USB interface paths (especially in version 3.0 and higher), HDMI or Ethernet requires in-depth knowledge of the principles of designing high-speed printed circuit boards with the rigor of signal integrity - the point is to prevent distortion of the waveforms and distortions caused by reflections in data and clock lines. Contrary to appearances, it is not enough to "pull" several paths between the connector (e.g. USB A socket) and the appropriate pins of the edge connector of the SoM module - it is necessary to use impedance control over the entire course of the paths, properly separating them from potentially interfering circuits (e.g. power supply) or finally - matching the length of individual paths with great accuracy, which is to prevent time hazards (after all, the electrical signal "moves" with a certain finite speed). The perfect solution is therefore to use ready-made base plates.
Base boards for Nvidia SoM modules
In our offer you will find several models of baseboards, containing a special socket (matching the edge connectors of Nvidia SoM modules) and a rich set of sockets and additional circuits. For example, the reComputer J101 board by Seeedstudio (compatible with the Nvidia Jetson Nano module) has an HDMI port, two USB 2.0 ports and one USB 3.0 port, as well as a microSD card slot, two CSI connectors, M.2 key E slot for WiFi+BLE modules, as well as numerous sockets providing the user with GPIO lines and low-level interfaces (including I2C and I2S). The Nvidia Jetson Nano Dev Kit board, developed by the equally popular Waveshare brand, also has a similar design. In addition to the baseboards, we also offer ready-made computers equipped with high-end housings - as an example, it is worth mentioning the reComputer J2021 model, made on the basis of the Nvidia Jetson Xavier NX module. Also check out a number of other accessories, including cameras, heatsinks, network cards, fans, extension plates and kits for building autonomous mobile robots.