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#News(IoTStack) [ via IoTForIndiaGroup ]
At the GTC conference in San Jose, NVIDIA has announced Jetson Nano, an edge computing platform to run machine learning and AI models. With a price tag of $99, Jetson Nano developer kit is the most affordable GPU platform from NVIDIA. The compatible module meant for production scenarios costs only $129. Nano is the latest to join the Jetson platform. The other products of this portfolio include Jetson TX2 and Jetson Xavier. Jetson TX2 is preferred for vision computing projects while Xavier module is typically used for autonomous machines and robots.
Jetson Nano is not only the cheapest but also the most developer friendly. With a form factor that looks like Raspberry Pi, the computing device is powered by a quad-core ARM A57 processor that runs at 1.43 GHz. It is backed by a 128-core Maxwell GPU to deliver unmatched power to run neural networks at the edge. The small but powerful CUDA-X based computing device delivers 472 GFLOPS of performance for running modern AI workloads and is highly power-efficient, consuming as little as 5 watts. The device comes with 4GB of RAM and a host of connectors including HDMI, Ethernet, GPIO, I2C, I2S, SPI, and UART which makes it an ideal platform to run IoT and AI applications.
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