Note: The developer kit is discontinued.

The NVIDIA® Jetson Nano™ moduledelivers up to 472 GFLOPS of accelerated computing from NVIDIA CUDA cores in an unprecedented size, power and cost. Jetson nano natively supports all types of AI models and popular AI frameworks e.g. TensorFlow, PyTorch and MxNet. This makes Jetson nano the ideal platform for developing mass market AI products such as AIIoT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems.

The system-on-module is powered by the NVIDIA Maxwell GPU with 4GB of memory which enables real-time processing of high resolution inputs. It has a combination of performance, power advantage and rich set of IOs, from high speed CSI and PCIe to low speed I2Cs and GPIOs. It can also support multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5W.

Jetson Nano is supported byNVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The comprehensive software stackmakes AI deployment on autonomous machines fast, reduces complexity and time to market.

The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software.

Jetson Software :

Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.

The same Jetpack SDK is used across the entire NVIDIA Jetson(™) family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.