Nvidia Jetson Specifications

The jetson board includes a 2x25 2mm pitch female expansion header reference designator j3a1.

Nvidia jetson specifications. Nvidia jetson nano and jetson xavier nx comparison. However new designs should take advantage of the jetson tx2 4gb a pin and cost compatible module with 2x the performance. It includes a familiar linux environment and brings to each jetson developer the same nvidia cuda x software and tools used by professionals around the world. Learn more about jetson tx1 on the nvidia developer zone.

8gb 128 bit lpddr4 ecc support 1600mhz. 9 10 the final specs expose the board being sort of a power optimized stripped down version of what a full tegra x1 system would mean. The jetson tx1 module is the first generation of jetson module designed for machine learning and ai at the edge and is used in many systems shipping today. Built on the 12 nm process and based on the gv10b graphics processor the device supports directx 12.

All nvidia design specifications reference boards files drawings diagnostics lists and other documents together and separately materials are being provided as is. The jetson tx1 gpu was a mobile integrated graphics solution by nvidia launched in january 2015. This 7 5 watt supercomputer on a module brings true ai computing at the edge. The nvidia jetson nano was announced as a development system in mid march 2019 the intended market is for hobbyist robotics due to the low price point.

This ensures that all modern games will run on jetson tx1 gpu. Nvidia jetpack enables a new world of projects with fast and efficient ai. Built on the 20 nm process and based on the gm20b graphics processor in its tm670d a1 variant the device supports directx 12. The jetson xavier nx gpu is a high end mobile integrated graphics solution by nvidia launched in may 2020.

Nvidia pascal architecture with 256 nvidia cuda cores 1 3 tflops fp16 dual core denver 2 64 bit cpu and quad core arm a57 complex. Specifications benchmarking container demos and custom model inference by elaine wu 5 months ago the following article is a transcript from the video published on hardware ai youtube channel. It s built around an nvidia pascal family gpu and loaded with 8gb of memory and 59 7gb s of memory bandwidth.