{"id":6073,"date":"2019-06-01T11:55:04","date_gmt":"2019-06-01T15:55:04","guid":{"rendered":"https:\/\/dronebotworkshop.com\/?p=6073"},"modified":"2023-04-12T11:31:35","modified_gmt":"2023-04-12T15:31:35","slug":"nvidia-jetson-developer-kit","status":"publish","type":"post","link":"https:\/\/dronebotworkshop.com\/nvidia-jetson-developer-kit\/","title":{"rendered":"Getting Started with the NVIDIA Jetson Nano Developer Kit"},"content":{"rendered":"\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-9571 size-full alignnone\" title=\"Download PDF\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2023\/04\/dbws-pdfdown.png?resize=64%2C64&#038;ssl=1\" alt=\"Download PDF\" width=\"64\" height=\"64\" data-recalc-dims=\"1\" \/> <a href=\"#Parts_List\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-9563 size-full\" title=\"Parts List\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2023\/04\/dbws-parts.png?resize=64%2C64&#038;ssl=1\" alt=\"Parts List\" width=\"64\" height=\"64\" data-recalc-dims=\"1\" \/><\/a> <a href=\"https:\/\/youtu.be\/BkZ1n_1F-Cg\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-9565 size-full\" title=\"View on YouTube\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2023\/04\/dbws-youtube.png?resize=64%2C64&#038;ssl=1\" alt=\"View on YouTube\" width=\"64\" height=\"64\" data-recalc-dims=\"1\" \/><\/a><\/p>\n<h2><span style=\"font-weight: 400;\">Introduction<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The <a href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\" target=\"_blank\" rel=\"noopener noreferrer\">NVIDIA Jetson Nano Developer Kit<\/a> brings the power of an Artificial Intelligence (AI) research platform to experimenters, students, makers, and independent developers. In other words, folks just like us!<\/span><\/p>\n<div class=\"youtube-player\" data-id=\"BkZ1n_1F-Cg\"><\/div>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Unlike the other members of the NVIDIA Jetson family of AI development boards, the Jetson Nano is priced at only $99 USD. \u00a0This is a fraction of the cost of most other AI development products.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6091\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/NVIDIA-Jetson-Nano-Developer-Kit.jpeg?resize=750%2C422&#038;ssl=1\" alt=\"NVIDIA Jetson Nano Developer Kit\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/NVIDIA-Jetson-Nano-Developer-Kit.jpeg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/NVIDIA-Jetson-Nano-Developer-Kit.jpeg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Despite its low cost the Jetson Nano Developer Kit is a fully-capable development platform that has multiple USB3 ports, Gigabit Ethernet and Raspberry Pi compatible GPIO and Camera connectors. \u00a0It also is capable of running most of the software that its other family members run, giving Jetson Nano developers a wealth of development tools and code to explore.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">NVIDIA Jetson Nano<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The NVIDIA Jetson Nano Developer Kit is actually two products attached together:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>The NVIDIA Jetson Nano module.<\/b><span style=\"font-weight: 400;\"> This is a small module with a large heatsink that contains the CPU, GPU, memory and all supporting electronics. On the Developer Kit this module has a microSD card slot.<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>The Carrier Board<\/b><span style=\"font-weight: 400;\">. This board has a socket for the module, as well as an M.2 connector for a communications module (not included). It has USB3, Ethernet and Video connectors, as well as camera and GPIO connectors.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">As this is a developers platform it is meant for development, so the Nano module on the Jetson Nano Developer Kit has a microSD card. Production versions of the Nano module have NVRAM instead.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6083\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Module.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano Module\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Module.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Module.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The Nano module has a large heatsink mounted on it to disperse heat.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Jetson Nano Specifications<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The Jetson Nano Module has the following specifications:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>CPU<\/b><span style=\"font-weight: 400;\"> &#8211; 64-bit Quad-core ARM A57 @ 1.43GHz<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>GPU<\/b><span style=\"font-weight: 400;\"> &#8211; 128-core NVIDIA Maxwell @ 921MHz<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Memory<\/b><span style=\"font-weight: 400;\"> &#8211; 4GB 64-bit LPDDR4 @ 1600MHz | 25.6 GB\/s<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Video Encoder<\/b><span style=\"font-weight: 400;\"> &#8211; 4Kp30 | (4x) 1080p30 | (2x) 1080p60<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Video Decoder<\/b><span style=\"font-weight: 400;\"> &#8211; 4Kp60 | (2x) 4Kp30 | (8x) 1080p30 | (4x) 1080p60<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The Nano module also has a microSD card slot.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The carrier board connections are as follows:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>USB<\/b><span style=\"font-weight: 400;\"> &#8211; 4x USB 3.0 A (Host) | USB 2.0 Micro B (Device)<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Camera<\/b><span style=\"font-weight: 400;\"> &#8211; MIPI CSI-2 x2 (15-position Flex Connector)<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Display<\/b><span style=\"font-weight: 400;\"> &#8211; HDMI | DisplayPort<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Networking<\/b><span style=\"font-weight: 400;\"> &#8211; Gigabit Ethernet (RJ45)<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Other I\/O<\/b><span style=\"font-weight: 400;\"> &#8211; (3x) I2C | (2x) SPI | UART | I2S | GPIOs<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Most of the ports on the carrier board are mounted on one side, as illustrated here.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6084\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Ports.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano Ports\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Ports.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Ports.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The carrier board also has a 40-pin GPIO connector that can be dynamically reconfigured. In its default mode it emulates the Raspberry Pi GPIO.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6080\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-GPIO.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano GPIO\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-GPIO.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-GPIO.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">There is also an M.2 Key-E slot mounted on the carrier board, underneath the Jetson Nano module. This slot can be used for a WiFi and Bluetooth communications card.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The heatsink on the Jetson Nano module is drilled to allow the mounting of a 40mm 5-volt PWM fan. \u00a0There is a fan connector on the carrier board between the module and the RJ45 jack.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6079\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Fan-Connector.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano Fan Connector\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Fan-Connector.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Fan-Connector.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<h3><span style=\"font-weight: 400;\">Powering the Jetson Nano<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The NVIDIA Jetson Nano Developer Kit requires a 5-volt power supply. It can operate in a low power or high power mode.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">There are two methods of applying 5-volts to the Jetson Nano.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6082\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-microUSB-Power.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano microUSB Power\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-microUSB-Power.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-microUSB-Power.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The first method is to use the micro USB connector on the carrier board. You\u2019ll need a power supply that can supply at least 2.5 amperes at 5-volts.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you don\u2019t have a suitable USB power supply you can use the 2.1 mm barrel jack located on the opposite end of the carrier board. It will accept a 5-volt 4 ampere power supply.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6077\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-21mm-Power.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano 2.1mm Power\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-21mm-Power.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-21mm-Power.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">If you decide to use the 2.1mm connector you will need to place a jumper on the carrier board to make it work. The jumper is located close to the barrel connector, as illustrated here.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6085\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Power-Jumper.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano Power Jumper\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Power-Jumper.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Power-Jumper.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The kit does not come with a jumper so you\u2019ll need to provide that yourself.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">NVIDIA Jetson Family<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The Nano is a member of the NVIDIA Jetson family of Artificial Intelligence development platforms.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6087\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/NVIDIA-Jetson-Family.jpeg?resize=750%2C422&#038;ssl=1\" alt=\"NVIDIA Jetson Family\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/NVIDIA-Jetson-Family.jpeg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/NVIDIA-Jetson-Family.jpeg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">As you can see from the above chart there are three Jetson series currently available. The TX1 series is not shown as it is retired.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Each of the three series works the same way &#8211; the Jetson component is on a module that is mounted on a carrier board. This allows developers to create their own product using the NVIDIA Jetson technology. The final product will have a socket for the Jetson module, and supporting hardware as required by the application.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">What the Jetson Nano Developer Kit is NOT<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Many reviews have criticized the Jetson Nano for not having a WiFi or Bluetooth connection built in. Others have complained about the location of the microSD card holder.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While I can understand the criticism I don\u2019t believe it is valid, which is certainly not a criticism of the reviewers themselves, it\u2019s just my opinion.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I believe these reviewers have been comparing the Jetson Nano Developer Kit to a Single Board Computer (SBC), like the Raspberry Pi 3B Plus. \u00a0But the Jetson Nano is NOT an SBC, it is a development platform.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By leaving out some of the SBC \u201cniceties\u201d NVIDIA has managed to shrink the cost of its AI development platform to under a hundred dollars, which is a pretty impressive accomplishment. So no WiFi in favor of more GPU power. And the microSD card is located on the module as that\u2019s where it belongs, in the production version of the module there is only NVRAM.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Just my own humble opinion! I think the NVIDIA Jetson nano Developer Kit represents a tremendous value, even without Bluetooth.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Installing Linux with JetPack SDK<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">So now that you have your brand new NVIDIA Jetson Nano Developer Kit how do you get started?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">One of the best ways to get started is to visit NVIDIA&#8217;s website for the complete installation process. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Essentially here is what you need to do:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Get the NVIDIA JetPack SDK and Ubuntu Linux image.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Burn the image to a microSD card.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Hook up the Jetson Nano Developer kit.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Insert the microSD card into the Jetson Nano module.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Power up the Jetson Nano Developer kit.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Follow the installation prompts.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Let\u2019s explain a bit of the procedure in more detail.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Setting up the microSD Card<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The first step in setting up the Jetson Nano Developer Kit is the obtain the software image. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can get the <\/span><a href=\"https:\/\/developer.nvidia.com\/embedded\/dlc\/jetson-nano-dev-kit-sd-card-image\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">image from the NVIDIA website<\/span><\/a><span style=\"font-weight: 400;\">. It is a very large download (about 6 GB) so be prepared to wait a while for the download to complete.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Once you have the image file downloaded you will need to burn a microSD card with it.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You\u2019ll need a microSD card that is at least 16 GB, preferably 32 GB or larger. Make sure that it is a good quality Class 10 card, as the performance of your developer kit will depend upon it to a degree.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I\u2019m using 64 and 128 GB cards in my experiments.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You&#8217;ll also need an SD burner. If you don\u2019t have one I would recommend <\/span><a href=\"https:\/\/www.balena.io\/etcher\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Etcher,<\/span><\/a><span style=\"font-weight: 400;\"> it\u2019s free and available for Windows, Mac, and Linux.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Because of the size of the image it will take a while to burn and verify.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Once it is burned insert the card into the Jetson Nano module, with the contacts of the microSD card facing up towards the module board.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Hooking up the Jetson Nano<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">You will need the following equipment to get your Jetson Nano Developer Kit hooked up:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A USB Keyboard<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A USB Mouse<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">An HDMI or DisplayPort video monitor and cable.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A 5-volt micro USB power supply capable of at least 2.5 amperes.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">An Ethernet connection with a CAT-6 cable.<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6081\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Hookup.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano Hookup\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Hookup.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Hookup.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The critical component here is the power supply, it needs to be capable of a full 2.5 amperes. Many phone chargers are not capable of this amount of current. Don\u2019t plug in the power supply until you are ready to start.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Installing<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Once everything s hooked up you can plug in the power supply. A green LED is the only indicator you\u2019ll get on the Jetson Nano carrier board.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">After a brief delay, the NVIDIA logo will display on the monitor and the installation will start.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6086\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Setup.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano Setup\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Setup.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Setup.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The installation takes about 15 minutes and most of it is file copying. Eventually, a Ubuntu Linux screen will display and you\u2019ll need to fill in information about your language, location, and user credentials.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">After more file copying and a reboot you will arrive at the Ubuntu Linux 18.04 desktop.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6078\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Desktop.jpg?resize=750%2C422&#038;ssl=1\" alt=\"Jetson Nano Desktop\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Desktop.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/Jetson-Nano-Desktop.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">NVIDIA has already added a few icons to the desktop for the Chromium web browser and for some NVIDIA links.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This completes your software installation on the NVIDIA Jetson Nano Developer Kit.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Testing the Nano<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Once you have the Jetson Nano up and running you\u2019ll undoubtedly want to give it a test drive. \u00a0There are many ways to do that.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Exploring the operating system, working with the web browser and perhaps watching a few HD videos is a good way to get a general feel for the power of the Jetson Nano as a small computer. In many ways this would make an ideal platform to run applications like Kodi or Plex to create a super multimedia machine.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But you probably want to see some of the AI capabilities of your new toy, after all, that is why we purchased it. NVIDIA has a number of resources to get you started.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Hello AI World<\/span><\/h3>\n<p><a href=\"https:\/\/developer.nvidia.com\/embedded\/twodaystoademo#hello_ai_world\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Hello AI World<\/span><\/a><span style=\"font-weight: 400;\"> is a selection of preconfigured deep learning inference demos. You can run demos for real-time image classification and object detection using either images or a video camera.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The next time we work with the Jetson I\u2019ll be going through Hello AI World in detail, as it is an excellent launching point for your Artificial Intelligence development adventures.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">CUDA Sample Program Setup<\/span><\/h3>\n<p><a href=\"https:\/\/developer.nvidia.com\/cuda-zone\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">CUDA<\/span><\/a><span style=\"font-weight: 400;\"> is a parallel computing platform and programming model which was developed by NVIDIA for use with its GPUs. \u00a0It allows applications to make use of the many cores in the GPU, the GPU on the Jetson Nano module has 128 cores. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">This means that the code-intensive parts of CUDA applications can run in parallel on 128 different cores.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In order to test out the NVIDIA Jetson Nano Developer Kit using CUDA you can run some CUDA Demos. But before you do, you\u2019ll need to build them first.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Follow these instructions to build the CUDA sample programs. Note that this procedure will take more than two hours, however, you only need to do it once.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Open up the Terminal. You can do this by going to the Search box in the upper left corner and typing \u201cterminal\u201d.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Type the next two lines of code, give your password for \u201csudo\u201d when prompted: <\/span><\/li>\n<\/ul>\n<p><strong><i>sudo \/usr\/local\/cuda\/bin\/cuda-install-samples-10.0.sh ~<\/i><\/strong><\/p>\n<p><strong><i>cd ~\/NVIDIA_CUDA-10.0_Samples\/<\/i><\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Now type the following to build the CUDA samples:<\/span><\/li>\n<\/ul>\n<p><strong><i>sudo make<\/i><\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The build will take two to three hours. Keep your hand off the heatsink as it gets very warm while the system is building! Note that the build will appear to stop several times, this is normal and it isn&#8217;t really stopped.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">When the build has finished you will be back at the command prompt.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Change into the directory that has the sample code:<\/span><\/li>\n<\/ul>\n<p><strong><i>cd bin\/aarch64\/linux\/release<\/i><\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You can run any of the demos by proceeding the demo name with \u201c<\/span><strong><i>.\/<\/i><\/strong><span style=\"font-weight: 400;\"> \u201c<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You can view the demo names by typing <\/span><i><span style=\"font-weight: 400;\">ls<\/span><\/i><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Try <\/span><i><span style=\"font-weight: 400;\"><strong>.\/matrixMul<\/strong> <\/span><\/i><span style=\"font-weight: 400;\">for a demo that just does a math benchmark<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Tyr <\/span><strong><i>.\/oceanFFT<\/i><\/strong><span style=\"font-weight: 400;\"> for the Ocean Fast Fourier Transform demo. You can manipulate it with your mouse.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The CUDA samples will give you an idea of the power of parallel processing on the NVIDIA Jetson Nano.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here are a few screenshots of some demos I ran on my Nano.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6074\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-OceanFFT.jpg?resize=750%2C422&#038;ssl=1\" alt=\"CUDA Demo OceanFFT\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-OceanFFT.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-OceanFFT.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This is the Ocean FFT demo. It simulates the waves on an ocean,. You can move it in 3D and zoom in using the mouse. You can also show or hide the gridlines.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6076\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-Smoke-Particles.jpg?resize=750%2C422&#038;ssl=1\" alt=\"CUDA Demo Smoke Particles\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-Smoke-Particles.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-Smoke-Particles.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This the Smoke Particles sample. It starts off as a square cloud of smoke that disperses, with a stationary light source behind it. You can move around in 3D and observe the smoke and the shadow that it creates.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6075\" src=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-Random-Fog.jpg?resize=750%2C422&#038;ssl=1\" alt=\"CUDA Demo Random Fog\" width=\"750\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-Random-Fog.jpg?w=768&amp;ssl=1 768w, https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/CUDA-Demo-Random-Fog.jpg?resize=300%2C169&amp;ssl=1 300w\" sizes=\"(max-width: 750px) 100vw, 750px\" data-recalc-dims=\"1\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This is Random Fog, a 3D circle of \u2018fog\u201d. Each point in the fog is calculated and you can zoom in and move around using the keyboard.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Conclusion<\/span><\/h2>\n<p>The NVIDIA Jetson Nano Developer Kit brings the power of an AI development platform to folks like us who could not have afforded to experiment with this cutting edge technology. At 99 US dollars, it is less than the price of a high-end graphics card for performing AI experiments on a desktop computer.<\/p>\n<p>I&#8217;ll be continuing with my work with the Jetson Nano. I intend to use it for a number of projects and also in my <a href=\"https:\/\/dronebotworkshop.com\/build-a-real-robot\/\">DB1 Robot<\/a>. Of course, I&#8217;ll keep you posted with more videos and articles.<\/p>\n<p>Until then I suggest that you pick up your own NVIDIA Jetson Nano Developer Kit and start playing with it yourself. It&#8217;s an excellent low-cost introduction to the world of machine learning.<\/p>\n<p>&nbsp;<\/p>\n<div class=\"dbwspartsbox\">\n<h3>Parts List<\/h3>\n<p><em>Here are some components that you might need to complete the experiments in this article. Please note that some of these links may be affiliate links, and the DroneBot Workshop may receive a commission on your purchases. This does not increase the cost to you and is a method of supporting this ad-free website.<\/em><\/p>\n<p>COMING SOON!<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<div class=\"dbwsresourcebox\">\n<h3><span style=\"font-weight: 400;\">Resources<\/span><\/h3>\n<p><a href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">NVIDIA Jetson Nano Developer Kit<\/span><\/a><span style=\"font-weight: 400;\"> &#8211; The main page from NVIDIA.<\/span><\/p>\n<p><a href=\"https:\/\/developer.nvidia.com\/embedded\/dlc\/jetson-nano-dev-kit-sd-card-image\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">microSD Card Image<\/span><\/a><span style=\"font-weight: 400;\"> &#8211; Image with Ubuntu Linux 18.04 and NVIDIA JetPack SDK (Large Download).<\/span><\/p>\n<p><a href=\"https:\/\/developer.nvidia.com\/embedded\/learn\/get-started-jetson-nano-devkit\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">NVIDIA Jetson Nano Getting Started<\/span><\/a><span style=\"font-weight: 400;\"> &#8211; Setup instructions from NVIDIA.<\/span><\/p>\n<p><a href=\"https:\/\/www.balena.io\/etcher\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Etcher<\/span><\/a><span style=\"font-weight: 400;\"> &#8211; A free SD and microSD card burner that works with any operating system.<\/span><\/p>\n<p><a href=\"https:\/\/elinux.org\/Jetson_Nano\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Jetson Nano Wiki<\/span><\/a><span style=\"font-weight: 400;\"> &#8211; A wiki for the NVIDIA Jetson Nano.<\/span><\/p>\n<p><a href=\"https:\/\/devblogs.nvidia.com\/jetson-nano-ai-computing\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">NVIDIA Developers Blog<\/span><\/a><span style=\"font-weight: 400;\"> &#8211; Article introducing the Jetson Nano Developer Kit.<\/span><\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The NVIDIA Jetson Nano Developer Kit is a powerful AI development platform that can be had for only 99 US dollars.<\/p>\n<p>Today we will look at the Nano and set one up with a microSD card image. We&#8217;ll also run a few test programs to show off its capabilities.<\/p>\n","protected":false},"author":1,"featured_media":6091,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5,90],"tags":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/i0.wp.com\/dronebotworkshop.com\/wp-content\/uploads\/2019\/06\/NVIDIA-Jetson-Nano-Developer-Kit.jpeg?fit=768%2C432&ssl=1","jetpack_shortlink":"https:\/\/wp.me\/p74ClK-1zX","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/posts\/6073"}],"collection":[{"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/comments?post=6073"}],"version-history":[{"count":2,"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/posts\/6073\/revisions"}],"predecessor-version":[{"id":9932,"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/posts\/6073\/revisions\/9932"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/media\/6091"}],"wp:attachment":[{"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/media?parent=6073"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/categories?post=6073"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dronebotworkshop.com\/wp-json\/wp\/v2\/tags?post=6073"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}