NX Core Board Specifications
Versions
8 GB version
16 GB version
AI Performance
21 TOPS
GPUs
384-core NVIDIA Volta™ GPUs with 48 Tensor Cores
CPU
6-core NVIDIA Carmel ARM®v8.2 64-bit CPUs
6MB L2 + 4MB L3
Memory
8 GB 128-bit LPDDR4x 59.7GB/s 16 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), totaling 144 GT/s*
CSI Cameras
Up to 6 cameras (up to 24 via virtual channels)
14 channels (3x4 or 6x2, or 3x4 + 1x2 or 5x2 + 1x4) MIPI CSI-2
D-PHY 1.2 (up to 30 Gbps)
Video Encoding
2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)
Video Decoding
2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
Display
2x Multimode DP 1.4/eDP 1.4/HDMI 2.0
DL Accelerator
2x NVDLA Engines
Vision Accelerators
2x PVA
Networking
10/100/1000 BASE-T Ethernet
Dimensions
45 mm x 69.6 mm
260-pin SO-DIMM connector
Cloud-native support for Jetson Xavier NX modules enables developers to build and deploy high-quality, software-defined functionality on embedded and edge devices, and NVIDIA NGC's pre-trained AI models with the TAO tool suite accelerate the implementation of trained and optimized AI networks deployed to Jetson devices in a containerized fashion for flexible and seamless updates.
Up to 21 TOPS of accelerated computing power to run modern neural networks in parallel and process data from multiple high-resolution sensors, a requirement for complete AI systems.
Jetson Xavier NX for high-performance AI systems such as drones, portable medical devices, small commercial robots, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other IoT embedded systems