Nvidia Jetson Nano Developer Kit Specs

Nvidia tegra x1 octa core arm processor with a 256 core maxwell gpu was introduced in 2015.

Nvidia jetson nano developer kit specs. Nvidia jetson nano enables the development of millions of new small low cost low power ai systems. With a familiar linux environment easy to follow tutorials and ready to build open source projects created by an active community it s the perfect tool for learning by doing. All in an easy to use platform that runs in as little as 5 watts. At 99 us dollars it is less than the price of a high end graphics card for performing ai experiments on a desktop computer.

Jetson nano developer kit official content optional imx219 77 camera board 64gb class 10 tf card along with a card reader and the power adapter this pack is the ideal choice for image recognition. The nvidia jetson nano 2gb developer kit is ideal for learning building and teaching ai and robotics built for creators and priced for everyone. The nvidia jetson nano developer kit is a small powerful computer that s ideal for learning about artificial intelligence. The company has now introduced a much cheaper board with jetson nano developer kit offered for just 99.

As its name suggests the 2gb model shaves off a bit of ram but keeps the exact same 128 core nvidia maxwell based gpu and quad core arm a57 cpu. The processor powers the popular nvidia shield android tv box and is found in jetson tx1 development board which still costs 500 and is approaching end of life. What is the nvidia jetson nano 2gb developer kit jetson nano 2gb specs and more the nvidia jetson nano 2gb variant is nearly identical to its jetson nano 4gb older sibling. The nvidia jetson nano developer kit brings the power of an ai development platform to folks like us who could not have afforded to experiment with this cutting edge technology.

It opens new worlds of embedded iot applications including entry level network video recorders nvrs home robots and intelligent gateways with full analytics capabilities. Jetson nano opens the door to robotics and deploying deep learning to the edge for real time image classification object detection segmentation speech processing and more.