Placeholder product data. Images, prices and specifications on this page are examples pending the real product information — see the handover notes.
YD-Core NX16
Onboard AI Computer
Jetson Orin NX 16 GB onboard computer delivering 100 TOPS for onboard perception — ROS 2 ready, 24 V-tolerant power, fanless option.
- Module
- Jetson Orin NX 16 GB
- AI performance
- 100 TOPS (INT8)
- Memory
- 16 GB LPDDR5
- Interfaces
- 2× GbE, 4× USB3, 8× CSI-2
From US$1,690
Overview
The YD-Core NX16 turns a research airframe into an autonomous one: 100 TOPS of Jetson Orin inference inside a carrier board built for UAV power — wide-input supply with filtering, locking connectors, and a CSI-2 lane budget that takes four cameras at once.
It ships with ROS 2 Humble and our MAVLink↔DDS bridge pre-configured, so the first offboard vision demo runs on day one instead of week two.
Typical applications
- Onboard vision and SLAM
- Object detection and tracking
- Swarm coordination
Specifications
| Module | NVIDIA Jetson Orin NX 16 GB |
|---|---|
| AI performance | 100 TOPS (INT8, sparse) |
| CPU | 8-core Arm Cortex-A78AE |
| GPU | 1024-core Ampere with 32 tensor cores |
| Memory | 16 GB LPDDR5, 102.4 GB/s |
| Storage | 256 GB NVMe SSD (optional 512 GB / 1 TB) |
| Ethernet | 2× GbE (1× with PTP) |
|---|---|
| USB | 4× USB 3.2 Gen1, 1× USB 2.0 |
| Camera | 8× CSI-2 lanes (up to 4 cameras) |
| Other | 1× HDMI, 1× PCIe Gen3 ×4, 2× UART, 1× CAN, I²C, GPIO |
| Input voltage | 9 V – 24 V wide-input with UAV power filter |
|---|---|
| Power consumption | 10 W / 15 W / 25 W configurable modes |
| Cooling | Active fan (IP43) or heatsink option |
| Dimensions | 110 × 80 × 25 mm |
| Weight | 180 g |
| Operating temperature | -20 °C to 60 °C (fanless derated) |
| OS | Ubuntu 22.04 with JetPack 6 |
|---|---|
| Middleware | ROS 2 Humble pre-installed, DDS tuned for MAVLink bridging |
| Accelerators | CUDA, cuDNN, TensorRT, DeepStream, Isaac ROS |
Downloads
- YD-Core NX16 Datasheetv0.1 · 2026-08-31 · PDF · 1 KB
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