#HOW TO INSTALL CUDA LINUX DRIVERS#
#HOW TO INSTALL CUDA LINUX DRIVER#
#HOW TO INSTALL CUDA LINUX SOFTWARE#
#HOW TO INSTALL CUDA LINUX FREE#

The Nouveau drivers must be disabled if they are present: If you have configuration of X server, delete or backup it: $ sudo rm /etc/X11/nf 7.

#HOW TO INSTALL CUDA LINUX DRIVER#

If your system already has display driver installed, delete it: $ sudo apt -purge remove nvidia- * 6. We are going to install them manually, so extract them: $ cd ~/Downloads $ mkdir. Extract installer’s contentĭownloaded installer contains display driver, toolkit and samples. It’s important to select runfile for installer type, as this installer will contain display driver of version which is guaranteed to be compatible with toolkit. Required version can coexist with default one: $ sudo apt install gcc-6 $ sudo apt install g++-6 3. Check out GCCĬUDA needs gcc 6 for Ubuntu 17. In short installation looks like: $ sudo ukuu -install v4.13.16ĭon’t forget to reboot your system after switching to another kernel: $ sudo rebootĪfter that make sure the kernel headers and development packages for the currently running kernel are installed: $ sudo apt install linux-headers-$(uname -r) $ sudo apt install build-essential 2.

#HOW TO INSTALL CUDA LINUX FREE#

Feel free to follow this article to get familiar with UKUU. You can stay without it, however personally I have found it to be very useful, as it allows you to do all job with few command-line instructions. I recommend to use UKUU to manage kernels on Ubuntu. Luckily, kernel 4.13.16 is suitable for CUDA 9.1 and no errors were observed. While such issues are easy to fix, there are other errors which can drive you crazy. For example, some functions may be used without includes of their headers and this results into compilation errors. Why? Well, there are bugs inside the kernel. Installation has failed for my version 4.13.0–32 and it has failed for version 4.13.26. So, will it work with kernel 4.13? Actually, yes and no, it depends. Well, Ubuntu 17.10 is shipped with kernel 4.13 and downgrading it to version 4.9 may look too aggressive. If driver is not compatible with your kernel, you have to change the kernel.Īs official documentation states, supported version of kernel for Ubuntu 17 is 4.9. Hence, you are left to use what you are given. Unfortunatelly, Nvidia’s drivers are source-closed and you cannot compile them for your kernel version. As Linux implements microkernel architecture where drivers are treated as plugins, they must be compatible with the kernel which they are going to be plugged into. Thus, CPU and GPU need to talk to each other and such communication is done via driver. It allows to create a heterogeneous computing architecture, where CPU acts as a supervisor and GPU takes role of a workhorse. Manage kernel versionĬUDA is a device architecture which is implemented inside GPU. If your existing installation differs from the recommended one, you must be able to decide whether you are OK to upgrade/downgrade your kernel and whether it’s possible for you to install required version of gcc. So, pay special attention to supported versions of kernel and gcc.

#HOW TO INSTALL CUDA LINUX SOFTWARE#

However it is easy to lull your vigilance if you are working basically with software in the modern world of constant changes and updates.

This might be obvious that everyone should get familiar with system requirements before installing anything on a target system. Official installation guide for Linux defines system requirements which you must conform to make things work. Actually, it’s not a rocket science, but there are certain points which require extra attention and those points are completely distributive-independent. Target environment of this guideline is CUDA 9.1 and Ubuntu 17.10, however it can be applicable to other systems. This article aims to be a guideline for installation of CUDA Toolkit on Linux.

How to install cuda linux