学生党自己装一台计算机用于深度学习加速
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对于要用什么显卡,答案2070性价比最高。
具体参考知乎:https://zhuanlan.zhihu.com/p/42749496
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最近入了一套装机配件,ITX主板 预算7.5K
记录一下配置过程2018.4
硬件清单:
显卡:MSI RTX2070 aero
CPU:2600
https://item.taobao.com/item.htm?_u=lm14tpaf976&id=588933437871
内存:威刚 3200MHz DDR4 8G
https://detail.tmall.com/item.htm?id=521104964154&spm=a1z09.2.0.0.36b22e8dJLLiNW&_u=lm14tpab092
主板:ITX 17*17 技嘉ITX B450 I AORUS PRO WIFI 迷你主板
https://item.taobao.com/item.htm?_u=lm14tpaf976&id=588933437871
电源:600w海盗船 80plus金牌
https://item.taobao.com/item.htm?_u=lm14tpa1a55&id=581998711501
硬盘:500GB 西数黑盘固态 R2000 W3000 型号:WDS500G3X0C
https://item.taobao.com/item.htm?_u=lm14tpac893&id=575621567080
机箱:GEEEK A4 sfx A50迷你itx 亚克力透明机箱+显卡转接线
https://item.taobao.com/item.htm?spm=a1z09.2.0.0.36b22e8dJLLiNW&id=524390185071&_u=lm14tpa8424
风扇:猫头鹰A9x14 NF-A9x14 PWM SSO磁稳轴承 超薄9CM风扇*2
https://item.taobao.com/item.htm?spm=a1z09.2.0.0.36b22e8dJLLiNW&id=16122749041&_u=lm14tpa0f74
安装windows系统:镜像下载:
win10下面的种子可以用迅雷,电驴,快车等软件下载,下载好了可以放到除了c盘之外,其他盘解压安装
win10家庭版,专业版,教育版中文版64位种子
ed2k://|file|cn_windows_10_consumer_edition_version_1809_updated_sept_2018_x64_dvd_f7b9c8a9.iso|5085956096|226AB51B290C3C0393A6A17096CB7497|/
win10家庭版,专业版,教育版中文版32位种子
ed2k://|file|cn_windows_10_consumer_edition_version_1809_updated_sept_2018_x86_dvd_8c32ac6a.iso|3709065216|645A85A963F007C58B67A4FB32DE0925|/
win10企业版中文版64位种子ed2k://|file|cn_windows_10_enterprise_version_1703_updated_july_2017_x64_dvd_10925390.iso|5057685504|C57CF8BE5700DE2ACB7DCF229632120B|/
win10企业版中文版32位种子ed2k://|file|cn_windows_10_enterprise_version_1703_updated_july_2017_x86_dvd_10925421.iso|3790645248|2609A56EB3C599A2715D815DB02D9CBA|/
制作u盘:打开windows镜像
点击写入硬盘镜像:
写入镜像
正在写入:
写入成功:
装机过程(待更新)
装乌班图系统:
制作安装u盘:
同上
安装乌班图系统:
同上
基本环境配置:
安装cuda tool kit
输入nvcc -V
(base) dld@dldrtx2070:~/下载$ nvcc -VCommand 'nvcc' not found, but can be installed with:sudo apt install nvidia-cuda-toolkit(base) dld@dldrtx2070:~/下载$ sudo apt install nvidia-cuda-toolkit
正在读取软件包列表... 完成
正在分析软件包的依赖关系树
正在读取状态信息... 完成
将会同时安装下列软件:ca-certificates-java fonts-dejavu-extra java-common libaccinj64-9.1 libatk-wrapper-java libatk-wrapper-java-jni libcublas9.1 libcudart9.1 libcufft9.1libcufftw9.1 libcuinj64-9.1 libcurand9.1 libcusolver9.1 libcusparse9.1 libdrm-dev libgif7 libgl1-mesa-dev libgles1 libglvnd-core-dev libglvnd-dev libnppc9.1libnppial9.1 libnppicc9.1 libnppicom9.1 libnppidei9.1 libnppif9.1 libnppig9.1 libnppim9.1 libnppist9.1 libnppisu9.1 libnppitc9.1 libnpps9.1 libnvblas9.1libnvgraph9.1 libnvrtc9.1 libnvtoolsext1 libnvvm3 libopengl0 libpthread-stubs0-dev libthrust-dev libvdpau-dev libx11-dev libx11-doc libx11-xcb-dev libxau-devlibxcb-dri2-0-dev libxcb-dri3-dev libxcb-glx0-dev libxcb-present-dev libxcb-randr0 libxcb-randr0-dev libxcb-render0 libxcb-render0-dev libxcb-shape0libxcb-shape0-dev libxcb-sync-dev libxcb-xfixes0 libxcb-xfixes0-dev libxcb1-dev libxdamage-dev libxdmcp-dev libxext-dev libxfixes-dev libxshmfence-devlibxxf86vm-dev mesa-common-dev nvidia-cuda-dev nvidia-cuda-doc nvidia-cuda-gdb nvidia-opencl-dev nvidia-profiler nvidia-visual-profiler ocl-icd-libopencl1ocl-icd-opencl-dev opencl-c-headers openjdk-8-jre openjdk-8-jre-headless x11proto-core-dev x11proto-damage-dev x11proto-dev x11proto-fixes-dev x11proto-xext-devx11proto-xf86vidmode-dev xorg-sgml-doctools xtrans-dev
建议安装:default-jre libvdpau-doc libxcb-doc libxext-doc libcupti-dev nvid
按照提示安装即可
再次输入可见如下
(base) dld@dldrtx2070:~/下载$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85