Jetson Xavier NX 8GB 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. It can run modern neural networks in parallel and process data from multiple high-resolution sensors, opening the door for embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.
Model | Nvidia Jetson Xavier NX 8GB |
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AI Performance | 21 TOPS (INT8) |
GPU | 384-core NVIDIA Volta™ GPU with 48 Tensor Cores |
GPU Max Freq | 1100 MHz |
CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3 |
CPU Max Freq | 2-core @ 1900MHz 4/6-core @ 1400Mhz |
Memory | 8 GB 128-bit LPDDR4x @ 1866MHz 59.7GB/s |
Storage | 16 GB eMMC 5.1 |
Power | 10W|15W|20W |
PCIe | 1 x1 + 1x4 (PCIe Gen3, Root Port & Endpoint) |
CSI Camera | Up to 6 cameras (36 via virtual channels) 12 lanes 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 108p30 (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 Engines |
Vision Accelerator | 7-Way VLIW Vision Processor |
Networking | 10/100/1000 BASE-T Ethernet |
Mechanical | 45 mm x 69.6 mm 260-pin SO-DIMM connector |