| Specification | Details |
|---|
| Product Name | NVIDIA Jetson Orin NX 8GB Development System (Y-C11-DEV-ORIN NX-8G-256G) |
| Module | NVIDIA Jetson Orin NX 8GB SoM |
| AI Performance | Up to ~50 TOPS (INT8) |
| GPU | 512-core NVIDIA Ampere GPU with 16 Tensor Cores |
| CPU | 6-core Arm® Cortex-A78AE v8.2 64-bit |
| CPU Max Frequency | ~1.9 GHz |
| Memory | 8 GB LPDDR5, 128-bit, ~51.2 GB/s |
| Storage | 256 GB eMMC onboard; supports external NVMe via M.2 |
| PCIe | PCIe Gen4 lanes for high-speed expansion |
| USB Ports | USB 3.2 and USB 2.0 support |
| 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 a developer carrier board |
| Software Support | NVIDIA JetPack SDK with Linux and AI libraries |
Description:
The NVIDIA Jetson Orin NX 8GB Development System (Y-C11-DEV-ORIN NX-8G-256G) is a high-performance AI edge platform designed for developers building robotics, intelligent vision systems, industrial automation, and AI-driven embedded applications. At its core, the kit features the Jetson Orin NX 8GB System-on-Module, which combines a 6-core Arm® Cortex-A78AE CPU with a 512-core NVIDIA Ampere GPU equipped with 16 Tensor Cores, delivering up to 50 TOPS of AI performance for demanding real-time inference workloads.
Memory bandwidth is robust with 8 GB LPDDR5, while onboard 256 GB eMMC storage plus external NVMe support allows developers to handle large datasets efficiently. The developer carrier board exposes versatile interfaces including USB 3.2, Gigabit Ethernet, MIPI CSI-2 camera inputs, HDMI, DisplayPort, and eDP outputs, enabling full 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.
The platform operates efficiently at 10–25 W, and supports the NVIDIA JetPack SDK, providing a full Linux environment with optimized AI software including CUDA, TensorRT, and cuDNN. This combination of high-performance hardware and software accelerates AI development at the edge, allowing rapid prototyping and deployment of autonomous machines, smart cameras, and other AI-powered embedded systems.