11 docs tagged with "Jetson"

The reComputer Robotics J401 is a high-performance edge AI carrier board designed for advanced robotics applications. It supports NVIDIA Jetson Orin Nano and Orin NX modules in Super/MAXN mode, delivering up to 157 TOPS of AI computing power. The board offers extensive connectivity options, including dual Gigabit Ethernet, multiple USB 3.2 ports, CAN, M.2 slots for 5G/Wi-Fi/BT modules, and optional GMSL2 camera support. Pre-installed with JetPack 6, it ensures seamless deployment for robotics development. The rugged design supports wide operating temperatures and includes a pre-installed heatsink with fan. The setup involves flashing the JetPack OS onto an NVMe SSD using a compatible Ubuntu host PC, followed by hardware configuration and interface usage. Detailed hardware specifications, mechanical drawings, and technical resources are provided for developers, along with community and technical support channels for troubleshooting and discussion.

Hardware and Interfaces Usage for J501 carrier board

This wiki provides a comprehensive introduction to the hardware features and interface usage of the reComputer Jetson Robotics J401 carrier board. It covers detailed specifications, supported modules, setup instructions, and practical guides for using various interfaces such as M.2, Ethernet, USB, CAN, UART, I2C, and GMSL2 camera expansion, helping users quickly get started with robotics development on the J401 platform.

This wiki provides a comprehensive introduction to the hardware features and interface usage of the reComputer Jetson Robotics J401 carrier board. It covers detailed specifications, supported modules, setup instructions, and practical guides for using various interfaces such as M.2, Ethernet, USB, CAN, UART, I2C, and GMSL2 camera expansion, helping users quickly get started with robotics development on the J401 platform.

This article highlights the superior AI performance of the reComputer Super compared to the reComputer Classic, demonstrating up to a 1.7x boost in AI compute power with the NVIDIA Jetson Orin NX 16GB. Through practical benchmarks in AI text generation using the DeepSeek-R1:7B model with Ollama, and AI video processing using the YOLOv11 object detection model, the results show that the reComputer Super delivers significantly faster inference speeds and higher GPU frequencies. Notably, it processes approximately 2.37 times more images per second than the Classic. The article also explains the importance of evaluating performance based on terminal-reported FPS rather than on-screen FPS, which can be limited by display and system factors.

本文重点介绍了 reComputer Super 相较于 reComputer Classic 的卓越 AI 性能，使用 NVIDIA Jetson Orin NX 16GB 展现了高达 1.7 倍的 AI 计算能力提升。通过实际基准测试，包括使用 Ollama 的 DeepSeek-R1:7B 模型进行 AI 文本生成，以及使用 YOLOv11 目标检测模型进行 AI 视频处理，结果显示 reComputer Super 提供了显著更快的推理速度和更高的 GPU 频率。尤其是，它每秒处理的图像数量约为 Classic 的 2.37 倍。文章还解释了基于终端报告的 FPS 而非屏幕 FPS 来评估性能的重要性，因为屏幕 FPS 可能受到显示和系统因素的限制。

Uso de hardware e interfaces para la Carrier Board J501

J501キャリアボードのハードウェアおよびインターフェースの使用方法

このウィキでは、reComputer Jetson Robotics J401キャリアボードのハードウェアとインターフェースについて紹介します。

J501载板的硬件和接口使用

本维基提供了关于 reComputer Jetson Robotics J401 载板硬件特性和接口使用的全面介绍。内容涵盖详细规格、支持的模块、设置说明，以及 M.2、以太网、USB、CAN、UART、I2C 和 GMSL2 摄像头扩展等各种接口的实用指南，帮助用户快速开始在 J401 平台上的机器人开发。