NVIDIA AI developer kit Jetson Nano - A Board for Autonomous Embedded Devices


Jetson Nano is a feasible future take on raspberry pi, yes we are more open to new technologies every day in and out.So, its time to get into GPU mode.


Technical Spec:(From NVIDIA)

GPU 128-core Maxwell
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 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
Video Decode 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
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

Developer Kit shows promise on major neural network application like object detection, image classification, speech processing, etc.
Since the launch of Coral GPU board by Google, the mist inside the unopened arena of AI started to show a glimpse of unfolding new territory.
With a concept of the similar working style of Raspberry pi model as in the case of getting started like installation of OS resembling to cover the impact of Rpi more can be a game on for NVIDIA.(except minimum sd card requirement is 16GB and OS image size is in the high wing of 5.3GB)
The most interesting thing is there are some trial projects like Hello AI, JetBot.

It is really Simple in working and also it supports ROS(Robot Operating System) which makes the real treat for developers to get into AI of real-world products other than software sectors – A highly encouraging signs.
Another Important note is a developer tried it out with Raspberry pi cam with Jetson Nano.
An Interesting step into AI devices where more embedded Autonomous will make further inroads.

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