Nvidia Cuda Version Check

C program files nvidia gpu computing toolkit cuda v9 0 now paste what you have.

Nvidia cuda version check. For me nvidia smi is the most straight forward and simplest way to get a holistic view of everything both gpu card model and driver version as well as some additional information like the topology of the cards on the pcie bus temperatures memory utilization and more. Recommended gpu for developers nvidia titan rtx nvidia titan rtx is built for data science ai research content creation and general gpu development. Interestingly you can also find more detail from nvidia smi except for the cuda version such as driver version 440 100 gpu name gpu fan ratio power consumption capability memory use. The first step is to check the compute capability of your gpu for that you need to visit the website of that gpu s manufacturer.

Nvidia developer 4 jun 12 cuda gpus. Built on the turing architecture it features 4608 576 full speed mixed precision tensor cores for accelerating ai and 72 rt cores for accelerating ray tracing. Using one of these methods you will be able to see the cuda version regardless the software you are using such as pytorch tensorflow conda miniconda anaconda or inside docker. Here you will learn how to check nvidia cuda version in 3 ways.

Nvcc from cuda toolkit nvidia smi from nvidia driver and simply checking a file. You can also find the processes which use the gpu at present. In many cases i just use nvidia smi to check the cuda version on centos and ubuntu. While option 2 will allow your project to automatically use any new cuda toolkit version you may install in the future selecting the toolkit version explicitly as in option 1 is often better in practice because if there are new cuda configuration options added to the build customization rules accompanying the newer toolkit you would not see those new options using option 2.

You can look up the cuda compute for the rtx 2080 ti on the nvidia website. As i previously installed cuda version 9 0 on my laptop the cuda files are existed in this following path location. To check which version of cuda and cudnn is supported by the hardware or the gpu that is installed in your computer.