Analysis:
The Jetson Xavier NX, like all Jetson family members, is enabled and supported by NVIDIA’s programming model and solution stack. For example, all Jetson developers can use NVIDIA’s CUDA-X GPU acceleration libraries for data science and machine learning. The same holds for NVIDIA’s JetPack (including CUDA, cuDNN, and TensorRT) and DeepStream so ware development kits. The Jetson family is also agnostic regarding machine learning, supporting the most widely used ameworks, such as TensorFlow, PyTorch, Caff e, and MXNet and their “lite” equivalents, as well as less-common libraries and tools.

For developers of commercial robots, drones and other edge computing devices that demand high performance, but are constrained by power and size considerations, the Jetson Xavier NX checks all boxes and at a very affordable price ($399). While it is ideally suited as an IoT edge device, the NX is primarily engineered to support AI on the edge – really machine learning / deep learning on the edge - and it does that very well - Dan Kara