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`Kubernetes <http://kubernetes.io >`_ 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:
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- - `Kubernetes单机训练 <http://www.paddlepaddle.org/docs/develop/documentation/zh/howto/cluster/multi_cluster/k8s_cn.html >`_
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- - `Kubernetes分布式训练 <http://www.paddlepaddle.org/docs/develop/documentation/zh/howto/cluster/multi_cluster/k8s_distributed_cn.html >`_
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`OpenMPI <https://www.open-mpi.org >`_ 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:
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- - `在OpenMPI集群中提交训练作业 <http://www.paddlepaddle.org/docs/develop/documentation/zh/howto/cluster/multi_cluster/openmpi_cn.html >`_
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- ` Fabric < http://www.fabfile.org >`_ 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:
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- - ` 使用fabric启动集群训练 <http://www.paddlepaddle .org/docs/develop/documentation/zh/howto/cluster/multi_cluster/fabric_cn.html >`_
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+ ` Fabric <http://www.fabfile .org >`_ 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:
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- 我们也支持在AWS上部署PaddlePaddle,详细请了解:
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- - ` Distributed PaddlePaddle Training on AWS with Kubernetes < http://www.paddlepaddle.org/docs/develop/documentation/zh/howto/cluster/multi_cluster/k8s_aws_cn.html >`_
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+ 我们也支持在AWS上部署PaddlePaddle,详细请了解:
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:maxdepth: 1
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- fabric_cn.md
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- openmpi_cn.md
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- k8s_cn.md
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- k8s_distributed_cn.md
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k8s_aws_cn.md
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+ 您可以在 `cluster_train_v2 <https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/scripts/cluster_train_v2 >`_ 找到以上相关的例子。
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