NVIDIA Jetson AGX Xavier 32GB Module

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. The 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, enabling developers to quickly train and deploy neural networks Jetson AGX Xavier is intended to be designed into robots and other autonomous machines that require modern AI throughput capabilities while existing “on the edge”. Jetson AGX Xavier can be used in endless applications such as manufacturing, service, logistics, retail, agriculture, healthcare, smart city, and much more. Features: More than 20X the performance and 10X the energy efficiency of the NVIDIA Jetson TX2 Supported by NVIDIA JetPack and Deep Stream SDKs, as well as CUDA, cuDNN, and TensorRT software libraries Packages Includes: 1 x NVIDIA Jetson AGX Xavier Module

Specifications

Product	NVIDIA Jetson AGX Xavier Module
GPU	512-core Volta GPU with Tensor Core
CPU	8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
Memory	32GB 256-Bit LPDDR4x | 136.5GB/s
Storage	32GB eMMC 5.1
RAM:	32GB
Processor Type:	8-core ARM v8.2
Product Name	Jetson AGX Xavier Module
Storage Capacity	32GB eMMC 5.1
Accelerometer Type:	7-way VLIW Vision Processor, (2x) NVDLA Engines*, 5 TFLOPS (FP16), 10 TOPS (INT8)
Video encoder	2x1000MP/sec,4x 4K @ 60 (HEVC),8x 4K @ 30 (HEVC),16x 1080p @ 60 (HEVC),32x 1080p @ 30 (HEVC)
Video decoder	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),