#Nvidia cuda driver vs geforce driver how to#
#Nvidia cuda driver vs geforce driver install#
#Nvidia cuda driver vs geforce driver driver#
#Nvidia cuda driver vs geforce driver upgrade#

This will fail since GeForce GTX 560 Ti has compute capability 2.0 while the minimum compute capability that can be supported by CUDA 10 is 3.0.

#Nvidia cuda driver vs geforce driver install#

The minimum compute capability for various CUDA versions can be seen in the following table: CUDA VersionДЄ concrete example: Suppose that you have GeForce GTX 560 Ti GPU on a machine and plan to install CUDA 10. When upgrading CUDA especially on a machine with older GPU, it is necessary to confirm if the CUDA version supports the compute capability of the GPU device. CUDA Version dan Minimum Compute CapabilityД®ach version of CUDA is shipped with minimum compute capability it can support.

#Nvidia cuda driver vs geforce driver driver#

Doing it the other way, which is running the application compiled with CUDA 8.0 and driver version 367 on the host with CUDA 9.1 and driver version 390 will still make the application run properly due to backward compatibility. CUDA driver backward compatibility is explained visually in the following illustration.ДЄs seen in the picture, a CUDA application compiled with CUDA 9.1 and CUDA driver version 390 will not be working when it is run on a host with CUDA 8.0 and driver version 367 due to forward incompatibility nature of the driver. However, an application compiled with API from the older driver version will work properly when a newer CUDA driver is installed in that environment. This means that the application or library that is compiled with API from the newer CUDA driver version will not be working properly in an environment where older CUDA driver version is installed.

#Nvidia cuda driver vs geforce driver upgrade#

CUDA driver upgrade is backward compatible only and not forward compatible. One thing to note when upgrading CUDA is whether we currently have CUDA application or library compiled with newer CUDA driver version.

#Nvidia cuda driver vs geforce driver how to#

The instruction on how to update the display driver can be seen in this article. If the version is older than 410.48, obviously we need to update the driver. $ nvidia-smi | grep 'Driver Version' | awk '' To check the current display driver version installed in the system, we can use nvidia-smi command as follows: For Linux, the compatibility table can be seen below: CUDA VersionДЄs can be seen in the table, upgrading to CUDA 10 from CUDA 9.1 requires NVIDIA display driver with version at least 410.48. How about upgrade scenario for other CUDA versions? NVIDIA maintains the compatibility table for CUDA and NVIDIA display driver version in its CUDA release note page. The following picture visualizes the standard upgrade process from CUDA 9.1 to CUDA 10: the toolkit is upgraded from 9.1 to 10 and the driver is upgraded from 390 to 410. In other words, standard CUDA upgrade involves two upgrade processes: CUDA (toolkit) upgrade and driver upgrade. This means that when upgrading to newer version of CUDA toolkit, we need to make sure that the currently installed display driver version is newer/bigger than the minimum compatible display driver version. NVIDIA states that each version of CUDA toolkit requires certain minimum NVIDIA display version that should be satisfied. But letвЂ™s have a simple scenario where we already have CUDA 9.1 installed and only want to upgrade to CUDA 10. If we are about to upgrade to CUDA 10, how can we achieve so? Can we simply upgrade the CUDA toolkit without upgrading the display driver? Handling CUDA Version UpgradeД¬UDA version upgrade itself can be a misleading term because since CUDA 8.0, multiple versions of CUDA can be installed on the same machine. As a concrete example, when this article was written, the latest CUDA version has been CUDA 10, taking the spotlight from CUDA 9.2. While the guide is still valid for CUDA 9.2, NVIDIA keeps releasing newer versions of CUDA. We went through several types of CUDA installation methods, including the multiple-version CUDA installs. The last post about CUDA installation guide was for CUDA 9.2.