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 64 Tensor Cores
11 TFLOPS (FP16)
22 TOPS (INT8)
CPU 8-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
Memory 16GB 256-Bit LPDDR4x | 136.5GB/s
Storage 32GB eMMC 5.1
DL Accelerator (2x) NVDLA Engines* | 5 TFLOPS (FP16), 10 TOPS (INT8)
Vision Accelerator 7-way VLIW Vision Processor*
Video Encode 2x1000MP/sec
4x 4K @ 60 (HEVC)
8x 4K @ 30 (HEVC)
16x 1080p @ 60 (HEVC)
32x 1080p @ 30 (HEVC)
Video Decode 2x1500MP/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)
Size 105 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.