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Nvidia has released a series of jetson hardware modules for embedded applications.
Nvidia jetson agx xavier tflops. With the nvidia jetson agx xavier developer kit you can easily create and deploy end to end ai robotics applications for manufacturing delivery retail smart cities and more. Jetson agx xavier s dual nvdla engines are capable of 5 tops int8 or 2 5 tflops fp16 performance each. The world s ultimate embedded solution for ai developers jetson agx xavier is now shipping as standalone production modules from nvidia a member of nvidia s agx systems for autonomous machines jetson agx xavier is ideal for deploying advanced ai and computer vision to the edge enabling robotic platforms in the field with workstation level performance and the ability to operate fully. Supported by nvidia jetpack and deepstream sdks as well as cuda cudnn and tensorrt software libraries the kit provides all the tools you need to get started right away.
For 1650 it gives these features. The new jetson agx xavier module makes ai powered autonomous machines possible running in as little as 10w and delivering up to 32 tops. 512 volta architecture cuda pipelines for 1 4 tflops fp32 performance 705 gflops fp64 2 8 tflops fp16 16gb 256 bit lpddr4x system shared for both cpu and gpu and other accelerators 137 gb. Jetson agx xavier enables new levels of compute density power efficiency and ai inferencing capabilities at the edge.
Nvidia jetson is the world s leading embedded platform for image processing and dl ai tasks. Built on the 12 nm process and based on the gv10b graphics processor the device supports directx 12. But i thought it might be worthwhile to have a more detailed comparison in a separate post so here we are. The jetson agx xavier gpu is an enthusiast class mobile integrated graphics solution by nvidia launched in october 2018.
It also has high performance eight core arm64 cpu a dedicated image processor a video processor and a vision processor for accelerating computer vision tasks. As part of the world s leading ai computing platform it benefits from nvidia s rich set of ai tools and workflows which enable developers to train and deploy neural networks quickly. Benchmark comparison for jetson nano tx1 tx2 and agx xavier.
