Jetson nano Nvidia

At the ongoing GPU Tech Conference 2019, Nvidia has announced a new member in its Jetson family – Jetson Nano. It is a $99 AI computer that can power AI-powered robots and other devices.

Jetson Nano is a single-board computer in the form of a module. By making it available in a smaller form factor, Nvidia has tried to entice DIY enthusiasts who can use this module in their different creations.

Jetson Nano Nvidia

Jetson Nano: Specifications

Jetson Nano is available in two form factors. A Nano developer kit at $99 aimed at DIY project makers and developers and a production-ready module for commercial organizations starting at $129.

The $99 AI computing dev kit offered by Nvidia features a 128 CUDA core GPU, based on the Maxwell architecture along with 472 GFLOPs. The device is powered by a 64-bit quad-core ARM Cortex-A57 based CPU and 4GB of RAM.

Nvidia Jetson Nano also carries a video processor that supports 4K 30fps encoding and 4K 60fps decoding. Additionally, it supports PCle components and has a USB 3.0 port as well.Jetson nano specifications

The $129 Jetson Nano Module, which is meant for organizations, is a completely built module with power management, memory, fully accessible input/output ports and clocking.

It is aimed at reducing overall development time as companies can update performance and capabilities even after the system has been deployed.
Jetson nano Dev Kit

JetBot: A DIY Robot Based On Jetson Nano

Nvidia has also announced JetBot — a Jetson Nano-based open-source AI project that will give users an idea of the capabilities of the single-board computer. Jetbot Jetson nano

It comes with a robot chassis, motors and batteries for allowing users, familiar with Python, to build a DIY a self-driving robot.

Nvidia’s Jetson Nano also supports commonly used AI frameworks like Caffe, TensorFlow, Keras, PyTorch, and MXNet.

Do you think Nvidia has launched a Raspberry Pi killer in the form of Jetson Nano? Would you buy it? Tell us in the comments below.

Also Read: Intel & Facebook Are Collaborating To Design AI Deep Learning Processor

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