Jetson Xavier NX 16GB delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. Customers can leverage the 16GB memory with their real time AI pipelines to run complex applications with multiple neural networks, processing data in parallel from high-resolution sensors. This opens the door for embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.

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Technical Specifications

AI Performance21 TOPS (INT8)
GPU384-core NVIDIA Volta™ GPU with 48 Tensor Cores
CPU6-core NVIDIA Carmel ARM®v8.2 64-bit CPU
6MB L2 + 4MB L3
CPU Max Freq2-core @ 1900MHz
4/6-core @ 1400Mhz
DL Accelerator2x NVDLA Engines
Vision Accelerator2x PVA
Memory16 GB 128-bit LPDDR4x @ 1866 MHz
Storage16 GB eMMC 5.1
Power10W | 15W | 20W
PCIe1 x1 + 1x4
(PCIe Gen3, Root Port & Endpoint)
CSI CameraUp to 6 cameras (36 via virtual channels)
14 lanes MIPI CSI-2
D-PHY 1.2 (up to 30 Gbps)
Video Encode2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 108p30 (H.264)
Video Decode2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
Display2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
Networking10/100/1000 BASE-T Ethernet
Mechanical45 mm x 69.6 mm
260-pin SO-DIMM connector

Note: Refer to the Software Features section of the latest Jetson Linux Developer Guide for a list of supported features, and the Jetson modules page for a comparison of all Jetson modules.


Please see the FAQ and post any questions you have to the NVIDIA Jetson Developer Forum.