| Specification | Details |
|---|
| Product Name | Jetson Orin NX 8GB Developer Kit 70T Embedded Development System (Y-C6-ONX8-128G) |
| Module | NVIDIA Jetson Orin NX 8GB SoM |
| AI Performance | Up to ~70 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 | 128 GB eMMC onboard; supports external NVMe via M.2 |
| PCIe | PCIe Gen4 lanes for expansion |
| USB Ports | 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, Audio, DMIC |
| 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) |
| Development Focus | AI, robotics, autonomous machines, industrial AI, edge computing |
Description:
The Jetson Orin NX 8GB Developer Kit 70T Embedded Development System (Y-C6-ONX8-128G) is a high-performance AI edge computing platform designed for robotics, computer vision, industrial AI, and autonomous applications. It 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 70 TOPS of AI performance for real-time inference and embedded AI workloads.
Memory bandwidth is robust with 8 GB LPDDR5, and onboard 128 GB eMMC storage plus external NVMe support allows developers to efficiently handle large datasets. The development board exposes multiple high-speed interfaces, including USB 3.2, Gigabit Ethernet, multiple MIPI CSI-2 camera inputs, HDMI, DisplayPort, and eDP outputs, making it easy to integrate sensors, peripherals, and high-resolution displays. Standard embedded interfaces such as UART, SPI, I2C, CAN, GPIO, and PWM enable seamless hardware integration for robotics and custom AI devices.
Operating efficiently at 10–25 W, the developer kit supports the NVIDIA JetPack SDK, providing a full Linux environment with optimized AI libraries including CUDA, TensorRT, and cuDNN. This makes it ideal for rapid prototyping and deployment of AI-driven solutions at the edge, including autonomous machines, smart cameras, industrial robots, and IoT devices requiring compact size, low power, and high AI performance.