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|
|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|