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The NVIDIA Jetson Nano B module is opening amazing new possibilities for edge computing. It delivers up to 472 GFLOPS of accelerated computing, can run many modern neural networks in parallel, and delivers the performance to process data from multiple high-resolution sensors- -a requirement for full AI systems.
It’s alsoproductionready and supports all popular AI frameworks. This makes Jetson Nano the ideal platform for developing mass market AI products such as AloT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems.
The system-on-module is powered by the NVIDIA MaxwellTM GPU with 4 GB of memory, which allows real-time processing of high-resolution inputs. It offers a unique combination of performance, power advantage, and a rich set of IOs, from high-speed CSI and PCle to low-speed I2Cs and GPIOs.
Jetson Nano is supported by NVIDIA JetPack TM , which includes a board support package(BSP), Linux OS, NVIDIA CUDAB, cuDNN, and TensorRT TM software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.The comprehensive software stack makes AI deployment on autonomous machines fast, reduces complexity, and speeds time to market.
The same JetPack SDK is used across the entire NVIDIA Jetson TM family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying Al software.Plus, it supports multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5 W.
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