跳转至主要内容
英特尔标志 - 返回主页
我的工具

选择您的语言

  • Bahasa Indonesia
  • Deutsch
  • English
  • Español
  • Français
  • Português
  • Tiếng Việt
  • ไทย
  • 한국어
  • 日本語
  • 简体中文
  • 繁體中文
登录 以访问受限制的内容

使用 Intel.com 搜索

您可以使用几种方式轻松搜索整个 Intel.com 网站。

  • 品牌名称: 酷睿 i9
  • 文件号: 123456
  • Code Name: Emerald Rapids
  • 特殊操作符: “Ice Lake”、Ice AND Lake、Ice OR Lake、Ice*

快速链接

您也可以尝试使用以下快速链接查看最受欢迎搜索的结果。

  • 产品信息
  • 支持
  • 驱动程序和软件

最近搜索

登录 以访问受限制的内容

高级搜索

仅搜索

Sign in to access restricted content.

不建议本网站使用您正在使用的浏览器版本。
请考虑通过单击以下链接之一升级到最新版本的浏览器。

  • Safari
  • Chrome
  • Edge
  • Firefox

AI PC Development Tools

 

Seamlessly transition projects from early AI development on the PC to cloud-based training to edge deployment. Learn what is required of AI workloads and what is available to get started today.

 

 

 

  • Overview
  • Get Started
  • Documentation and Resources

Documentation and Resources

OpenVINO™ Toolkit 

  • OpenVINO™ Toolkit for AI PC 
  • Documentation 
  • Models 

ONNX

  • Open Source Page
  • Documentation

WebNN

  • Open Source Page 
  • Documentation (Awesome WebNN)  
  • Web Neural Network API Explained

Support

AI PC Development Kit Forum


App Development with oneAPI

  • Overview
  • Developer Toolkits
  • Programming Guide

Code Samples

Virtual AI Assistant with OpenVINO Toolkit 
This customizable virtual assistant is based on a healthcare assistant whose task is to greet and summarize the patient's condition based on the conversation and an uploaded examination report. Several preconfigured assistant personalities are available.  

People Counting with OpenVINO Toolkit 
The sample counts people (or any other selected objects) standing in front of the webcam, presenting performance differences between various precisions and devices on the used platform. 

View All OpenVINO Toolkit Samples (GitHub*)

 

OpenVINO™ Model Hub for AI Inference Benchmarks 
Select from a list of leading generative AI (GenAI) and large language models (LLM) optimized for Intel® CPUs, built-in GPUs, NPUs, and accelerators.   

AI PC Notebooks on GitHub
A selection of Jupyter* Notebooks is designed to showcase GenAI workloads on AI PCs. These notebooks are designed to be accessible to a broad audience, including AI creators, artists, engineers, and those who are curious about GenAI. 

WebNN Samples
This repository contains a collection of samples and examples demonstrating WebNN API use in web applications. 

Training

On-Demand Training

AI Courses and Certifications

Intel offers training and resources to developers, data scientists, students, and professors. Take self-paced courses, attend live workshops, and watch webinars on topics from general AI to deep learning and inference.

AI PC Acceleration Program

This program connects independent hardware vendors (IHV) and independent software vendors (ISV) with Intel resources, including AI toolchains, training, co-engineering, software optimization, hardware, design resources, technical expertise, comarketing, and sales opportunities.

Build Local LLM Agents on an AI PC

Build local agents for a variety of tasks, including research assistance data management, UI design, and natural language processing (NLP) tasks, focusing on laptops equipped with Intel® Core™ Ultra processors.

Workshop: How to Use WebNN for AI PC Application Development

Learn how the WebNN API is standardizing interactions with CPUs, GPUs, and NPUs to gain optimal performance and predictable behavior.

Accelerate AI on Windows* with Intel® NPUs 

See how Microsoft* and Intel collaborate on NPU technology. 

Support for Intel® AI Boost 

Learn about the developer preview of DirectML with ONNX Runtime that enables support for Intel Core Ultra processors with Intel® AI Boost. 

Deploy Smarter, Faster, More Responsive LLMs at the Edge 

Run LLMs efficiently on client PCs and small-form-factor machines at the edge using the OpenVINO toolkit in combination with popular tools, libraries, and frameworks for model optimization and quantization. 

Create GenAI with the OpenVINO Toolkit and AI PCs from Intel 

Discover how the combination of the OpenVINO toolkit and AI PCs leads to innovative GenAI solutions completed quickly. 

Optimized ONNX Models Run on AI PCs 

Learn how to build a stand-alone app for an AI PC with OpenVINO™ Execution Provider for ONNX Runtime. 

Create Inventive GenAI with AI PCs from Intel 

See how the acceleration of AI workloads is accomplished for Intel Core Ultra processors and the benefits of NPUs from Intel to operations. 

WebNN Developer Preview

See how you can use WebNN to run ONNX models in a browser.  

显示更多 显示较少
  • 公司信息
  • 英特尔资本
  • 企业责任部
  • 投资者关系
  • 联系我们
  • 新闻发布室
  • 网站地图
  • 招贤纳士 (英文)
  • © 英特尔公司
  • 沪 ICP 备 18006294 号-1
  • 使用条款
  • *商标
  • Cookie
  • 隐私条款
  • 请勿分享我的个人信息 California Consumer Privacy Act (CCPA) Opt-Out Icon

英特尔技术可能需要支持的硬件、软件或服务激活。// 没有任何产品或组件能够做到绝对安全。// 您的成本和结果可能会有所不同。// 性能因用途、配置和其他因素而异。请访问 intel.cn/performanceindex 了解更多信息。// 请参阅我们的完整法律声明和免责声明。// 英特尔致力于尊重人权,并避免成为侵犯人权行为的同谋。请参阅英特尔的《全球人权原则》。英特尔产品和软件仅可用于不会导致或有助于任何国际公认的侵犯人权行为的应用。

英特尔页脚标志