Nvidia unveils its new GPU-accelerated single board computer: the Jetson Nano 2GB. The chip will go on sale later this month for a price of $ 59. With the relatively low price, Nvidia hopes to convince more developers and hobbyists to work with Nvidia products.
Nvidia started its line of GPU accelerated single board computers in 2014 with the Jetson TK1. The development board cost $ 200 at the time and was aimed at users who planned to enter the world of edge computing. The system was designed to pack high quality computing into a small and energy efficient package that could be integrated directly into products.
While Jetson TK1 was an impressive piece of hardware, the hacker and maker community took little interest in it. The product was relatively expensive and aimed more at large companies than consumers. In response, Nvidia released the Jetson Nano. Its smaller size and lower price of $ 99 made the product a lot more appealing to hobbyists. As a result, the number of active Jetson developers has more than tripled since the introduction of the Nano. With the Jetson Nano 2GB, Nvidia hopes to further expand the number of developers with an even lower price point.
Jetson Nano 2GB vs. the original Jetson Nano
The new Jetson Nano 2GB is not a completely new device. It is an updated version of the Jetson Nano that came out last year. It’s still the same size, delivers the same amount of power, and works with the same Maxwell GPU. The biggest difference is in the price and the fact that the new chip only has 2 GB instead of 4 GB in the original Nano.
In an attempt to lower the price as much as possible, the Jetson Nano 2GB has less connections than its predecessor. DisplayPort disappears, HDMI replaces it. One of the two CSI camera connectors does not pass the separation either, just like the M.2 connection and one of the four USB connections. Nvidia based these choices based on the devices that users connect the most. The Jetson Nano 2GB has not only been slimmed down, but has also received an update. The old-fashioned power connector is being replaced by USB-C.
The hardware in the two versions of the Nano is almost identical. The software that worked on the previous Nano will likely work on the new chip as well. It is important to keep in mind that halving the available RAM can cause problems for some applications.
AI and machine learning training program
Nvidia is using the launch of the Jetson Nano 2GB to kick off the Jetson AI Certification Program as well. In this program, developers can watch tutorials and video walkthroughs on everything related to AI. It covers the basics from training algorithms to practical applications such as collision avoidance and object tracking.
To complete the Jetson AI Specialist course and earn the certificate, participants must submit an open source project in NVIDIA’s Community Projects forum and get it approved.
For developers who wanted to get started with AI and machine learning, the original Jetson Nano was already a great choice. Now that the new Jetson Nano 2GB also includes a training and certification program, the choice is only more attractive. And that’s exactly what Nvidia wants with its launch.
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