The new Jetson AGX Xavier module makes AI-powered autonomous machines possible, running in as little as 10W and delivering up to 32 TOPs. 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. Jetson AGX Xavier is supported by the NVIDIA JetPack SDK, which can help you save big by reducing development effort and expense.

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The Tech Specs

AI Performance 32 TOPs
GPU 512-core Volta GPU with Tensor Cores
CPU 8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
Memory 16GB 256-Bit LPDDR4x | 137GB/s
Storage 32GB eMMC 5.1
DL Accelerator (2x) NVDLA Engines*
Vision Accelerator 7-way VLIW Vision Processor*
Encoder/Decoder (4x) 4Kp60 | (6x) 4Kp60 (HEVC)
Size 105 mm x 105 mm

*Please refer to NVIDIA documentation for what is currently supported.


Please see the FAQ and post any questions you have to the NVIDIA Jetson Developer Forum.