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.

Buy Now

The Tech Specs

AI Performance32 TOPs
GPU512-core Volta GPU with 64 Tensor Cores
11 TFLOPS (FP16)
22 TOPS (INT8)
CPU8-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
Memory32GB 256-Bit LPDDR4x | 136.5GB/s
Storage32GB eMMC 5.1
DL Accelerator(2x) NVDLA Engines* | 5 TFLOPS (FP16), 10 TOPS (INT8)
Vision Accelerator7-way VLIW Vision Processor*
Video Encode2x1000MP/sec
4x 4K @ 60 (HEVC)
8x 4K @ 30 (HEVC)
16x 1080p @ 60 (HEVC)
32x 1080p @ 30 (HEVC)
Video Decode2x1500MP/sec
2x 8K @ 30 (HEVC)
6x 4K @ 60 (HEVC)
12x 4K @ 30 (HEVC)
26x 1080p @ 60 (HEVC)
52x 1080p @ 30 (HEVC)
30x 1080p @ 30 (H.264)
Size105 mm x 105 mm

* Please refer to NVIDIA documentation for what is currently supported, and the Jetson Hardware page for a comparison of all Jetson modules.

Questions?

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