Technical Specifications:
Processor:
NVIDIA Jetson Orin SoC
CPU: 12-core ARM Cortex-A78AE v8.2 (64-bit)
GPU: NVIDIA Ampere architecture with 2048 CUDA cores and 64 Tensor cores
DL Accelerator: 32 TOPS (Tera Operations Per Second) AI performance
Memory and Storage:
RAM: 32 GB LPDDR5
Storage: 64 GB eMMC 5.1 onboard
Expandable storage via SD card and NVMe SSD
Connectivity:
Networking:
Gigabit Ethernet
Wi-Fi and Bluetooth support
I/O Ports:
USB 3.2 Gen 2 Type-C
USB 3.2 Gen 1 Type-A
HDMI 2.1
PCIe Gen 4
GPIO, I2C, SPI, UART
Camera Interfaces:
CSI Camera Ports: 16 lanes for high-resolution camera support
Supports multiple cameras for computer vision applications
Power Supply:
Input voltage: 19 V DC
Power consumption: 15 W to 60 W (depending on workload)
Operating System:
Linux-based OS: Ubuntu 20.04 with NVIDIA JetPack SDK
JetPack includes CUDA, cuDNN, TensorRT, and DeepStream SDKs
Dimensions:
Compact form factor for embedded applications
技术规格:
处理器:
NVIDIA Jetson Orin SoC
CPU: 12核ARM Cortex-A78AE v8.2(64位)
GPU: NVIDIA安培架构,2048 CUDA核心和64张量核心
DL加速器:32 TOPS(每秒次操作)AI性能
内存和存储:
内存:32gb lpddr5
存储:64gb eMMC 5.1板载
可扩展存储通过SD卡和NVMe SSD
连通性:
网络:
千兆以太网
Wi-Fi和蓝牙支持
I / O端口:
USB 3.2 Gen 2 Type-C
USB 3.2 Gen 1 Type-A
HDMI 2.1
PCIe Gen 4
Gpio, i2c, spi, art
相机接口:
CSI相机端口:16通道高分辨率相机支持
支持计算机视觉应用的多个摄像头
电源:
输入电压:19v DC
功耗:15w ~ 60w(根据工作负载不同)
操作系统:
基于linux的操作系统:Ubuntu 20.04与NVIDIA JetPack SDK
JetPack包括CUDA, cuDNN, TensorRT和DeepStream sdk
维度:
紧凑的形式因素,嵌入式应用程序
Main Functions:
AI and Deep Learning:
Optimized for AI workloads such as image recognition, object detection, natural language processing, and robotics.
Supports frameworks like TensorFlow, PyTorch, and ONNX for training and inference.
Edge Computing:
Designed for real-time processing and decision-making at the edge, reducing latency and dependency on cloud computing.
Computer Vision:
High-performance GPU and camera interfaces enable advanced computer vision tasks such as multi-camera processing, SLAM, and 3D perception.
Robotics and Autonomous Systems:
Ideal for robotics applications, including autonomous vehicles, drones, and industrial automation.
IoT and Smart Devices:
Supports IoT applications with connectivity options and GPIO interfaces for sensor integration.
Video Analytics:
Accelerates video processing and analytics for surveillance, smart cities, and media streaming applications.
Key Features:
Unmatched AI Performance:
Delivers up to 32 TOPS of AI computation, making it one of the most powerful edge AI platforms.
Scalability:
Compatible with the NVIDIA Jetson ecosystem, allowing developers to scale their projects from Jetson Nano to Jetson AGX Orin.
Rich I/O and Connectivity:
Multiple high-speed interfaces for peripherals, cameras, and sensors.
Energy Efficiency:
Optimized for low power consumption, making it suitable for battery-powered devices and energy-constrained environments.
Developer-Friendly:
Comes with JetPack SDK, which includes tools, libraries, and APIs for AI development, simplifying the workflow for developers.
Robust Ecosystem:
Supported by NVIDIA’s extensive ecosystem, including pre-trained models, software libraries, and community resources.
Compact Design:
Small form factor suitable for embedded systems and space-constrained applications.
High Camera Support:
16-lane CSI camera interfaces allow for simultaneous multi-camera setups for advanced vision applications.
Applications:
Robotics: Autonomous navigation, manipulation, and perception.
Healthcare: AI-powered medical imaging and diagnostics.
Smart Cities: Traffic monitoring, surveillance, and infrastructure management.
Retail: Customer analytics, inventory tracking, and cashier-less stores.
Industrial Automation: Predictive maintenance, quality control, and process optimization.
Drones: Autonomous flight, obstacle detection, and mapping.
主要功能:
人工智能和深度学习:
针对图像识别、对象检测、自然语言处理和机器人等人工智能工作负载进行了优化。
支持TensorFlow, PyTorch和ONNX等框架进行训练和推理。
边缘计算:
专为边缘实时处理和决策而设计,减少延迟和对云计算的依赖。
计算机视觉:
高性能GPU和摄像头接口支持高级计算机视觉任务,如多摄像头处理、SLAM和3D感知。
机器人和自主系统:
非常适合机器人应用,包括自动驾驶汽车,无人机和工业自动化。
物联网和智能设备:
支持物联网应用与连接选项和GPIO接口的传感器集成。
视频分析:
为监控、智能城市和流媒体应用加速视频处理和分析。
主要特点:
无与伦比的AI性能:
提供高达32 TOPS的AI计算,使其成为最强大的边缘AI平台之一。
可伸缩性:
与NVIDIA Jetson生态系统兼容,允许开发人员将其项目从Jetson Nano扩展到Jetson AGX Orin。
丰富的I/O和连接性:
用于外设、相机和传感器的多个高速接口。
能源效率:
针对低功耗进行了优化,使其适用于电池供电的设备和能量受限的环境。
开发者:
附带JetPack SDK,其中包括用于AI开发的工具,库和api,简化了开发人员的工作流程。
健壮的生态系统:
由NVIDIA广泛的生态系统提供支持,包括预先训练的模型、软件库和社区资源。
紧凑的设计:
适合嵌入式系统和空间受限应用的小尺寸尺寸。
高摄像头支持:
16车道CSI摄像头接口允许同时多摄像头设置先进的视觉应用。
应用程序:
机器人:自主导航、操作和感知。
医疗保健:人工智能医疗成像和诊断。
智慧城市:交通监控、监视和基础设施管理。
零售:客户分析、库存跟踪和无收银员商店。
工业自动化:预测性维护、质量控制和过程优化。
无人机:自主飞行、障碍物探测和绘图。
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