he Jetson AGX Xavier Module is a computational accelerator designed for use in AI applications involving image recognition, object detection, and speech recognition. The Jetson AGX Xavier Module provides 20× the performance and 10× the energy efficiency compared to its predecessor, the Jetson TX2, and consumes under 30 W of power.
The Jetson AGX Xavier Module contains a 512-core NVIDIA Volta GPU with Tensor Cores, 2× NVDLA engines, an eight-core Arm V8.2 64-bit Cameral CPU, 16 GB of 256-bit LPDDR4x, 32-GB eMMC 5.1 flash storage, and seven-way VLIW vision-accelerator processor.
GPU
NVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores
CPU
8-core NVIDIA Carmel Armv8.2 64-bit CPU
DL Accelerator
2x NVDLA
Vision Accelerator
2x PVA
Memory
64GB 256-bit LPDDR4x
Storage
32GB eMMC 5.1
Camera
Up to 6 cameras (36 via virtual channels) 16 lanes MIPI CSI-2 | 8 lanes SLVS-EC D-PHY 1.2 (up to 40 Gbps) C-PHY 1.1 (up to 62 Gbps)
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