CentOS 7搭建Linux GPU服务器的教程
<p>centos 7搭建linux gpu服务器的步骤，供大家参考，具体内容如下</p>
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1. cuda toolkit的安装</p>
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到https://developer.nvidia.com/cuda-gpus查询gpu支持的cuda版本：</p>
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<img style="max-width:100%!important;height:auto!important;"title="CentOS 7搭建Linux GPU服务器的教程" alt="CentOS 7搭建Linux GPU服务器的教程" src="https://zhuji.jb51.net/uploads/img/202305/7422e6748dfd24d832dda0d681fb6bd1.jpg"></p>
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到https://developer.nvidia.com/cuda-downloads，根据操作系统选择下载相应的cuda toolkit版本，下载的是一个.run文件，下载完成后以root用户直接运行该文件安装。</p>
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安装结束以后。运行：</p>
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<span><u>复制代码</u></span> 代码如下:</div>
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nvidia-smi</div>
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如果列出了gpu状态信息，表明安装成功：</p>
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<img style="max-width:100%!important;height:auto!important;"title="CentOS 7搭建Linux GPU服务器的教程" alt="CentOS 7搭建Linux GPU服务器的教程" src="https://zhuji.jb51.net/uploads/img/202305/0a82b77133f479bc778cdfdbed7c8330.jpg"></p>
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<strong>2. cudnn的安装</strong></p>
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tensorflow对神经网络的加速通过cudnn库实现，所以首先去https://developer.nvidia.com/rdp/cudnn-archive，根据cuda的版本下载相应版本的cudnn，也是一个.run文件，下载完成后直接运行。</p>
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<strong>3. tensorflow的安装</strong></p>
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为了在安装过程中不出现版本冲突等问题，建议先安装anoconda。到https://www.anaconda.com/download/#linux下载后，运行.sh文件安装。</p>
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然后使用下面的命令安装tensorflow：</p>
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<code class="bash plain">conda create -n tensorflow python=2.7</code>
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<code class="bash functions">source</code> <code class="bash plain">activate tensorflow</code>
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<code class="bash functions">export</code> <code class="bash plain">tf_binary_url=https:</code><code class="bash plain">//storage</code><code class="bash plain">.googleapis.com</code><code class="bash plain">/tensorflow/linux/gpu/tensorflow-0</code><code class="bash plain">.11.0rc1-cp27-none-linux_x86_64.whl</code>
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<code class="bash plain">pip </code><code class="bash functions">install</code> <code class="bash plain">--ignore-installed --upgrade $tf_binary_url</code>
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依次输入：</p>
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<code class="bash functions">source</code> <code class="bash plain">activate tensorflow</code>
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<code class="bash plain">python</code>
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<code class="bash functions">import</code> <code class="bash plain">tensorflow as tf</code>
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<code class="bash functions">import</code> <code class="bash plain">pandas as pd</code>
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<code class="bash plain">tf.__version__</code>
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如果没有报错，则表明安装成功：</p>
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<img style="max-width:100%!important;height:auto!important;"title="CentOS 7搭建Linux GPU服务器的教程" alt="CentOS 7搭建Linux GPU服务器的教程" src="https://zhuji.jb51.net/uploads/img/202305/5a40971865f6fdeddce6caf9aa903ad7.jpg"></p>
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以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。</p>
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原文链接：http://www.cnblogs.com/mstk/p/7625694.html</p>
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