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 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.

Jetson Xavier NX 16GB Jetson Xavier NX
AI Performance 21 TOPS
GPU 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
CPU 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU
6MB L2 + 4MB L3
Memory 16GB 128-bit LPDDR4x 8 GB 128-bit LPDDR4x
59.7GB/s 59.7GB/s
Storage 16 GB eMMC 5.1
Power 10 W|15 W
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) MIPI CSI-2
D-PHY 1.2 (up to 30 Gbps)
Video Encode 2x 4Kp30 | 6x 1080p60 | 14x 1080p30 (H.265 & H.264)
Video Decode 2x 4Kp60 | 4x 4Kp30 | 12x 1080p60 | 32x 1080p30 (H.265)
2x 4Kp30 | 6x 1080p60 | 16x 1080p30 (H.264)
Display 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
DL Accelerator 2x NVDLA Engines
Vision Accelerator 7-Way VLIW Vision Processor
Networking 10/100/1000 BASE-T Ethernet
Mechanical 69.6 mm x 45 mm
260-pin SO-DIMM connector
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