Description

Smaller than a credit card (70×45 mm), the energy-efficient Jetson Xavier NX module delivers server-class performance, 21 TOPS (at 15 W or 20 W) or up to 14 TOPS (at 10 W). It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors, a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices.Jetson Xavier NX is production-ready and supports all popular AI frameworks. This opens the door for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.

AI Performance: 21 TOPS

GPU: 384-core NVIDIA Volta GPU with 48 Tensor Cores

CPU: 6-core NVIDIA Carmel ARMv8.2 64-bit CPU 6MB L2 + 4MB L3

Memory: 8 GB 128-bit LPDDR4x 59.7GB/s

Storage: 16 GB eMMC 5.1

Power: 10W | 15W | 20W

PCIe: 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s

CSI Camera: Up to 6 cameras (24 via virtual channels) 14 lanes (3×4 or 6×2 or 3×4 + 1×2 or 5×2 + 1×4) MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps)

Video Encode: 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) 2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)

Video Decode: 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265) 2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)

Display: 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0

DL Accelerator: 2x NVDLA

Vision Accelerator: 2x PVA