| Specification | Details |
|---|
| Product Name | NVIDIA Jetson Orin NX 16GB Developer Kit (Y-C11-DEV-ORIN NX16G-128G) |
| Module | NVIDIA Jetson Orin NX 16GB SoM |
| AI Performance | Up to ~100 TOPS (INT8) |
| GPU | 1024-core NVIDIA Ampere GPU with 32 Tensor Cores |
| CPU | 8-core Arm® Cortex-A78AE v8.2 64-bit |
| CPU Max Frequency | ~2.0 GHz |
| Memory | 16 GB LPDDR5, 128-bit, ~102.4 GB/s |
| Storage | 128 GB eMMC onboard; supports external NVMe via M.2 |
| PCIe | PCIe Gen4 lanes for high-speed expansion |
| USB Ports | Multiple USB 3.2 and USB 2.0 ports |
| Camera Interface | Multiple MIPI CSI-2 lanes |
| Video Encode/Decode | Multi-stream 4K60 encode; 8K decode support |
| Display Output | HDMI 2.1, DisplayPort 1.4, eDP 1.4 |
| Networking | 1 × Gigabit Ethernet |
| I/O Interfaces | UART, SPI, I2C, CAN, GPIO, PWM, DMIC, Audio |
| Power Consumption | 10–25 W typical |
| Form Factor | SO-DIMM style Jetson NX module on developer carrier board |
| Software Support | NVIDIA JetPack SDK (Linux + AI libraries) |
Description:
The NVIDIA Jetson Orin NX 16GB Developer Kit (Y-C11-DEV-ORIN NX16G-128G) is a high-performance edge AI platform designed for developers working on robotics, intelligent vision systems, industrial automation, and AI-driven embedded applications. At its core, the kit features the Jetson Orin NX 16GB System-on-Module, combining an 8-core Arm® Cortex-A78AE CPU with a 1024-core NVIDIA Ampere GPU featuring 32 Tensor Cores, delivering up to 100 TOPS of AI performance for real-time AI workloads.
Memory bandwidth is robust with 16 GB LPDDR5, while onboard 128 GB eMMC storage and optional external NVMe support allow efficient management of large datasets. The developer carrier board exposes versatile interfaces including USB 3.2, Gigabit Ethernet, multiple MIPI CSI-2 camera inputs, HDMI, DisplayPort, and eDP outputs, enabling integration with sensors, peripherals, and high-resolution displays. Standard embedded interfaces such as UART, SPI, I2C, CAN, GPIO, and PWM make it ideal for robotics and custom hardware integration.
With efficient power consumption of 10–25 W, the kit runs the NVIDIA JetPack SDK, providing a full Linux environment with optimized AI libraries like CUDA, TensorRT, and cuDNN. This combination of high-performance hardware and software accelerates AI development at the edge, enabling rapid prototyping and deployment of autonomous machines, smart cameras, and other AI-powered embedded systems.