NVIDIA JETSON XAVIER NX 16GB
P/N 900-83668-0030-000
Jetson Xavier NX System-on-Module (SOM)
- 384-core NVIDIA GPU with 48 Tensor Cores
- 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
- 16 GB 128-bit LPDDR4
- 16 GB eMMC 5.1
- PVA v2.0
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 in their real-time AI pipelines to run complex applications with multiple neural networks while processing data from high-resolution sensors in parallel. This enables embedded and Edge computing devices that require increased performance but are constrained by size, weight, and power budgets.
| AI Performance | 21 TOPS (INT8) |
| 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 |
| CPU Max Frequency | 2-core @ 1900MHz 4/6-core @ 1400Mhz |
| DL Accelerator | 2x NVDLA Engines |
| Vision Accelerator | 2x PVA |
| Memory | 16 GB eMMC 5.1 |
| Power | 10W | 15W | 20W |
| PCIe | 1 x1 + 1x4 (PCIe Gen3, Root Port & Endpoint) |
| CSI | Up to 6 cameras (36 via virtual channels) 14 MIPI CSI-2 lanes 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 outputs |
| Power | 10/100/1000 BASE-T Ethernet |
| Mechanical | 45 mm x 69.6 mm 260-pin SO-DIMM connector |