admin Recently, A new product from Nvidia declared today at GTC, a $99 AI computer called the Jetson Nano should help speed that process.
The latest Nano is in Nvidia’s line of Jetson embedded computing boards, used to provide the brains for robots and other AI-powered devices. Plug one of these into your latest creation, and it’ll be able to handle responsibilities like object recognition and autonomous navigation without relying on cloud processing power.
Nvidia is introducing developer kit of the Nano targeting “embedded designers, researchers, and DIY makers” for $99, and production-ready modules for commercial companies for $129 (with a minimum buy of 1,000 modules).
The company also revealed a fun DIY project for any advanced makers: an open-source $250 autonomous robotics kit named JetBot (above). It contains a Jetson Nano along with a robot chassis, battery pack, and motors, allowing users to build their own self-driving robot.
With the $99 devkit you get 472 gigaflops of computing powered by a quad-core ARM A57 processor, 128-core Nvidia Maxwell GPU, and 4GB of LPDDR RAM. The Nano also supports a range of popular AI frameworks, involving TensorFlow, PyTorch, Caffe, Keras, and MXNet, so most algorithms will be pretty much plug-and-play. And there’s the usual brace of ports and interfaces, including USB-A and B, gigabit Ethernet, and support for microSD storage.
Nvidia states it hopes the Nano’s price point should open up AI hardware development to new users. “We expect a lot of the maker community that wants to get into AI, but has been unable to in the past, the Jetson Nano will allow them to do that,” according to the Nvidia’s VP and GM of autonomous machines.
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