# NVIDIA Jetson Nano Developer Kit - Introduction

DevFeed: [NVIDIA Jetson Nano Developer Kit - Introduction](<https://devfeed.tech/articles/nvidia-jetson-nano-developer-kit-introduction-29470.md>)

Original publisher: [Read original article](<https://blog.hypriot.com/post/nvidia-jetson-nano-intro/>)

Published: 2019-04-19T12:16:25Z

Content type: tutorial

Language: en

Sources: [Hypriot](<https://devfeed.tech/sources/hypriot.md>)

Topics: [Jetson](<https://devfeed.tech/topics/jetson.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Arm](<https://devfeed.tech/topics/arm.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [Docker](<https://devfeed.tech/topics/docker.md>)

Tags: [developer](<https://devfeed.tech/tags/developer.md>), [devkit](<https://devfeed.tech/tags/devkit.md>), [docker](<https://devfeed.tech/tags/docker.md>), [flashing](<https://devfeed.tech/tags/flashing.md>), [github](<https://devfeed.tech/tags/github.md>), [hdmi](<https://devfeed.tech/tags/hdmi.md>), [jetson](<https://devfeed.tech/tags/jetson.md>), [macos](<https://devfeed.tech/tags/macos.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [robotics](<https://devfeed.tech/tags/robotics.md>)

## AI overview

An introduction to the NVIDIA Jetson Nano Developer Kit covering its hardware, required accessories, SD card flashing, and initial configuration. The article recommends using a 32 or 64 GB SD card because the compressed image is about 5 GB and the uncompressed image is about 12 GB.

## Source excerpt

Let me introduce the brand new NVIDIA Jetson Nano Developer Kit, which is basically a quad-core 64bit ARM Cortex-A57 CPU with 128 GPU cores - suitable for all kinds of maker ideas: AI, Robotics, and of course for running Docker Containers... Unboxing Let's unbox the board and do the initial configuration... When opening the box we'll find the board itself and a short getting started flyer which heads us to the NVIDIA website https://NVIDIA.com/JetsonNano-Start where we can find all basic information about the new DevKit. Please note, there are no other parts included in the DevKit. So, in order to use the DevKit you'll need some additional accessories: MicroSD card (at least 16GByte) Monitor with HDMI or DisplayPort connector HDMI or DisplayPort cable to connect to the monitor USB Keyboard and Mouse Micro-USB power supply (5V, 2Amps for 10 watts) Getting Started Following the official documentation Getting Started With Jetson Nano Developer Kit we have to download and flash the SD card. I don't want to repeat these basic steps here, because it's covered in great detail directy in the official NVIDIA tutorial Write Image to the microSD Card. When downloading the SD card image, please be aware this one isn't small at all. The download is a zipped image file of 5 GByte of compressed data. $ ls -alh jetson-nano-sd-r32.1-2019-03-18.zip -rw-r--r--@ 1 dieter staff 5.3G Mar 15 22:49 jetson-nano-sd-r32.1-2019-03-18.zip The SD card image is a huge 12 GByte data blob. I would strongly recommend to use a SD card size with at least 32 GByte, with the recommended 16 GByte minimum you won't get really happy. So, please do yourself a favour and get a 32 or 64 GByte SD card. $ ls -alh jetson-nano-sd-r32.1-2019-03-18.img -rwxr-xr-x 1 dieter staff 12G Mar 15 19:19 jetson-nano-sd-r32.1-2019-03-18.img For flashing the SD card image you could also use the Hypriot flash tool, which can be found here https://github.com/hypriot/flash. That's exactly what I did from macOS. $ flash --device /dev/