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<li class="toctree-l1"><a class="reference internal" href="start/install.html">安装与设置</a></li>
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<h1>欢迎来到 HAI Platform 官方文档<a class="headerlink" href="#hai-platform" title="Permalink to this headline">¶</a></h1>
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<h3 align="center">
<b>HAI-Platform</b>：大规模高性能深度学习训练平台
</h3>
<p align="center">
<img alt="hai-platform" src="https://img.shields.io/github/last-commit/HFAiLab/hai-platform/main?style=plastic">
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<a href="https://hfailab.github.io/hai-platform/start/hai_intro.html" rel="nofollow">基本介绍</a> |
<a href="https://hfailab.github.io/hai-platform/start/install.html" rel="nofollow">操作指引</a> |
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<a href="https://hfailab.github.io/hai-platform/api/hai.html" rel="nofollow">接口文档</a> |
<a href="https://www.high-flyer.cn/blog/">技术博客</a>
</p>
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<br /><p>HAI Platform 是幻方 AI 团队开源的 <strong>大规模高性能深度学习训练平台</strong>，其以 <strong>任务级分时调度共享 AI 算力的理念</strong> 将集群零散资源进行整合，统一分配算力，最大化集群整体的利用效率。
平台针对深度学习训练场景下的 <strong>资源管理、任务管理、环境管理、用户管理、数据管理、可视化交互等一般性需求，设计了全流程解决方案，以及灵活的扩展方式</strong>。
用户可以没有顾及地尽情研发模型提交任务，无需关注如何获取、配置计算节点，平台会自动处理任务编排、调度、打断恢复等流程。
便捷的接口设计，简单明了的任务管理界面，HAI Platform 可以让您获得畅快淋漓的模型训练体验。</p>
<section id="id1">
<h2>阅读指南<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h2>
<p>对于绝大部分的初始试用者，您可以从文档 <a class="reference internal" href="start/hai_intro.html"><span class="doc">《HAI Platform 基本介绍》</span></a> 开始阅读。
它介绍了 HAI Platform 的基本理念、产品功能、环境特点等信息，帮助您快速了解 HAI Platform。</p>
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<section id="id2">
<h2>文档索引<a class="headerlink" href="#id2" title="Permalink to this headline">¶</a></h2>
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