Jetson Xavier NX/Introduction/Overview: Difference between revisions

NVIDIA designed this platform emphasizing in the following three key features:

The NVIDIA Jetson Xavier NX has a '''''70 mm x 45 mm SoC''''' where the power of an NVIDIA Xavier SoC is packed into a module the size of a Jetson Nano. This small module combines exceptional performance and power advantages with a rich set of IOs—from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. We are now able to take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all our embedded AI and edge systems.

This platform delivers up to 21 TOPS at 15 W, making it ideal for high-performance compute and AI in embedded and edge systems with size and power-constrained requirements. With 384-CUDA/48-Tensor cores Volta GPU, 2 NVIDIA Deep Learning Accelerators (NVDLA) engines, 6 Carmel ARM CPUs, video encode/decode hardware accelerators, plus 51GB/s of memory bandwidth, makes it the ideal platform to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.

The NVIDIA Jetson Xavier NX supports multiple power modes with high performance capabilities that delivers up to 21 TOPS at 15 W and 14 TOPS at 10 W. This makes this platform ideal for battery-operated systems that demands high processing resources and that share the power budgets with sensors and peripherals. This platform enables the entire NVIDIA software stack that runs all modern AI networks and frameworks with accelerated libraries for deep learning as well as computer vision, computer graphics, multimedia, and more. And it still leaves more of the available power budget for the sensors and peripherals required by today's popular embedded applications.