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  <div class="section" id="preparations">
<span id="preparations"></span><h1>Preparations<a class="headerlink" href="#preparations" title="Permalink to this headline">¶</a></h1>
<ol class="simple">
<li>Prepare your computer cluster. It&#8217;s normally a bunch of Linux servers connected by LAN. Each server will be assigned a unique IP address. The computers in the cluster can be called &#8220;nodes&#8221;.</li>
<li>Install PaddlePaddle on every node. If you are going to take advantage of GPU cards, you&#8217;ll also need to install proper driver and CUDA libraries. To install PaddlePaddle please read <a class="reference external" href="http://www.paddlepaddle.org/docs/develop/documentation/en/getstarted/build_and_install/index_en.html">this build and install</a> document. We strongly recommend using <a class="reference external" href="http://www.paddlepaddle.org/docs/develop/documentation/en/getstarted/build_and_install/docker_install_en.html">Docker installation</a>.</li>
</ol>
<p>After installation, you can check the version by typing the below command (run a docker container  if using docker: <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>.10.0rc, compiled with
    with_avx: ON
    with_gpu: OFF
    with_double: OFF
    with_python: ON
    with_rdma: OFF
    with_timer: OFF
</pre></div>
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