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<span id="id1"></span><h1>环境准备<a class="headerlink" href="#" title="永久链接至标题">¶</a></h1>
<ol class="simple">
<li>准备您的计算集群。计算集群通常由一组（几台到几千台规模）的Linux服务器组成。服务器之间可以通过局域网（LAN）联通，每台服务器具有集群中唯一的IP地址（或者可被DNS解析的主机名）。集群中的每台计算机通常被成为一个“节点”。</li>
<li>我们需要在集群的所有节点上安装 PaddlePaddle。 如果要启用GPU，还需要在节点上安装对应的GPU驱动以及CUDA。PaddlePaddle的安装可以参考<a class="reference external" href="http://www.paddlepaddle.org/docs/develop/documentation/zh/getstarted/build_and_install/index_cn.html">build_and_install</a>的多种安装方式。我们推荐使用<a class="reference external" href="http://www.paddlepaddle.org/docs/develop/documentation/zh/getstarted/build_and_install/docker_install_cn.html">Docker</a>安装方式来快速安装PaddlePaddle。</li>
</ol>
<p>安装完成之后，执行下面的命令可以查看已经安装的版本（docker安装方式可以进入docker容器执行：<code class="docutils literal"><span class="pre">docker</span> <span class="pre">run</span> <span class="pre">-it</span> <span class="pre">paddlepaddle/paddle:[tag]</span> <span class="pre">/bin/bash</span></code>）：</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>$ paddle version
PaddlePaddle <span class="m">0</span>.10.0, compiled with
    with_avx: ON
    with_gpu: OFF
    with_double: OFF
    with_python: ON
    with_rdma: OFF
    with_timer: OFF
</pre></div>
</div>
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