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<h1>在不同集群中运行<a class="headerlink" href="#id1" title="永久链接至标题">¶</a></h1>
<p>用户的集群环境不尽相同，为了方便大家的部署，我们提供了多种的集群部署方式，方便提交集群训练任务，以下将一一介绍:</p>
<p><a class="reference external" href="http://kubernetes.io">Kubernetes</a> 是Google开源的容器集群的调度框架，支持大规模集群生产环境的完整集群方案。以下指南展示了PaddlePaddle对Kubernetes的支持：</p>
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<p><a class="reference external" href="https://www.open-mpi.org">OpenMPI</a>  是成熟的高性能并行计算框架，在HPC领域使用非常的广泛。以下指南介绍了如何使用OpenMPI来搭建PaddlePaddle的集群训练任务:</p>
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<p><a class="reference external" href="http://www.fabfile.org">Fabric</a> 是一个方便的程序部署和管理工具。我们提供了使用Fabric 进行部署、管理的方法，如果想详细了解，请阅读以下指南:</p>
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<p>我们也支持在AWS上部署PaddlePaddle，详细请了解:</p>
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<li class="toctree-l1"><a class="reference internal" href="k8s_aws_cn.html">Distributed PaddlePaddle Training on AWS with Kubernetes</a></li>
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<p>您可以在 <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/scripts/cluster_train_v2">cluster_train_v2</a> 找到以上相关的例子。</p>
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