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Efficient GPU based embedded platform for intense computation

There are plenty of credit card size computer modules that usually are based on ARM or x86. They are great for general purpose tasks like running operating systems, playing games and running apps. But when you need to squeeze a bit more out of them they appear not very powerful. One group of intense tasks would be running deep learning algorithms by using neural nets or performing other machine learning tasks. Along with great performance we also are looking for low power solutions especially for portable applications like self aware robots.


Nvidia recently launched great platform called Jetson TX1 that just fits this category. It is based on 1 TFLOP/s 256-core Maxwell GPU, 64-bit ARM A57 CPU featuring 4GB of DDR4 RAM and 16GB of eMMC flash. Along with great performance it only takes 10W. As we already may know GPU is great in image processing and classification so it outperforms general purpose CPUs in these tasks. When compared to Intel core i7-6700K and taking energy consumption in to account Jetson TX1 showed over 6 times better performance. Of course this convenience comes with price (~$599), but since this is very specialized platform it is finding its use where facial recognition and classification is required.

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