requirements 安装nvidia driver
经过不断踩坑的安装，终于google到了靠谱的方法，首先检查你的NVIDIA VGA card model
sudo lshw -numeric -C display
可以看到你的显卡信息，比如我的就是 product: GM107M [GeForce GTX 950M] [10DE:139A]，然后去NVDIA driver search page搜索你的显卡需要的驱动型号，页面如下：
下面是我的电脑对应的驱动版本
LINUX X64 (AMD64/EM64T) DISPLAY DRIVER Version: 375.20 Release Date: 2016.11.18 Operating System: Linux 64-bit Language: English (US) File Size: 72.37 MB从搜索的结果页面看到，我的驱动版本应该是375.20,为了再次确认一遍，你还可以使用这个命令查看你可以使用的驱动：
ubuntu-drivers devices结果显示和搜索到的驱动版本一样，推荐也是375
== /sys/devices/pci0000:00/0000:00:01.0/0000:01:00.0 == vendor : NVIDIA Corporation model : GM107M [GeForce GTX 950M] modalias : pci:v000010DEd0000139Asv000017AAsd0000380Bbc03sc02i00 driver : nvidia-367 - third-party free driver : nvidia-375 - third-party free recommended driver : nvidia-364 - third-party free driver : nvidia-358 - third-party free driver : xserver-xorg-video-nouveau - distro free builtin driver : nvidia-370 - third-party free == cpu-microcode.py == driver : intel-microcode - distro non-free好了，终于可以安装对应的驱动了，使用以下命令
version: 375 sudo apt-get install nvidia-375 //你自己的版本 //version : xxx //sudo apt-get install nvidia-xxx什么，安装很慢，找不到包？更换一下软件源，这个自己google怎么更换，最简单的就是图形界面里面找到System->settings->Software&Updates，然后换一下源，比如阿里云或者中科大（我突然不能链接中科大镜像了，真实坑）,然后再执行一下命令
sudo apt-get install mesa-common-dev sudo apt-get install freeglut3-dev安装完成之后，重启电脑，驱动应该就完成了！你可以在dashboard上搜索nvidia，看到像 NVIDIA X Server Settings的东西，就说明安装驱动成功了，接下来就是安装cuda8了
首先也是去下载cuda toolkit 8.0,可以自己注册一个账号。
一定要选择runfile.下载完成之后，执行 sudo sh cuda_8.0.44_linux.run --override
然后就进入安装过程，开始都是End User License Agreement，你可以CTRL +C 跳过，然后accept，下面就是安装的交互界面，开始的Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 367.48?选择n，因为你已经安装驱动了。
Using more to view the EULA. End User License Agreement -------------------------- Preface ------- The following contains specific license terms and conditions for four separate NVIDIA products. By accepting this agreement, you agree to comply with all the terms and conditions applicable to the specific product(s) included herein. NVIDIA CUDA Toolkit Description The NVIDIA CUDA Toolkit provides command-line and graphical tools for building, debugging and optimizing the performance of applications accelerated by NVIDIA GPUs, runtime and math libraries, and documentation including programming guides, user manuals, and API references. The NVIDIA CUDA Toolkit License Agreement is available in Chapter 1. Default Install Location of CUDA Toolkit Windows platform: Do you accept the previously read EULA? accept/decline/quit: accept Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 367.48? (y)es/(n)o/(q)uit: n Install the CUDA 8.0 Toolkit? (y)es/(n)o/(q)uit: y Enter Toolkit Location [ default is /usr/local/cuda-8.0 ]: Do you want to install a symbolic link at /usr/local/cuda? (y)es/(n)o/(q)uit: y Install the CUDA 8.0 Samples? (y)es/(n)o/(q)uit: y Enter CUDA Samples Location [ default is /home/kinny ]: Installing the CUDA Toolkit in /usr/local/cuda-8.0 ... Missing recommended library: libXmu.so Installing the CUDA Samples in /home/kinny ... Copying samples to /home/kinny/NVIDIA_CUDA-8.0_Samples now... Finished copying samples. =========== = Summary = =========== Driver: Not Selected Toolkit: Installed in /usr/local/cuda-8.0 Samples: Installed in /home/kinny, but missing recommended libraries Please make sure that - PATH includes /usr/local/cuda-8.0/bin - LD_LIBRARY_PATH includes /usr/local/cuda-8.0/lib64, or, add /usr/local/cuda-8.0/lib64 to /etc/ld.so.conf and run ldconfig as root To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-8.0/bin Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-8.0/doc/pdf for detailed information on setting up CUDA. ***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 361.00 is required for CUDA 8.0 functionality to work. To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file: sudo <CudaInstaller>.run -silent -driver Logfile is /tmp/cuda_install_17494.log 配置cuda环境变量 export PATH="$PATH:/usr/local/cuda-8.0/bin" export LD_LIBRARY_PATH="/usr/local/cuda-8.0/lib64" nvidia-smi