By: +David Herron; Date: May 14, 2019
Let's start with the technical data:
|CPU||Quad-core ARM A57 @ 1.43 GHz|
|Memory||4 GB 64-bit LPDDR4 25.6 GB/s|
|Storage||microSD (not included)|
|Video Encode||4K @ 30|
|Video Decode||4K @ 60|
|Camera||1x MIPI CSI-2 DPHY lanes|
|Connectivity||Gigabit Ethernet, M.2 Key E|
|Display||HDMI 2.0 and eDP 1.4|
|USB||4x USB 3.0, USB 2.0 Micro-B|
|Others||GPIO, I2C, I2S, SPI, UART|
|Mechanical||100 mm x 80 mm x 29 mm|
For a Single Board Computer the CPU and memory are good, but not the highest. Having 4GB of memory means this board will be able to run some demanding software. It has a good selection of USB ports and Gigabit ethernet, but no on-board WiFi. The hardware I/O is very useful for integration into a device like a robot.
The primary focus of this is the GPU, which is decidedly high end.
What Nvidia says is:
NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.
While this can run many different operating systems, NVIDIA pushes a version of Ubuntu. With that OS you can access a large variety of AI software that can be easily configured to utilize the GPU.