How to check cuda version

How to check cuda version. This version from this commend was not the tensorRT Jan 16, 2020 · In my laptop there are three versions of cuda, 8. You can enter this to any command prompt (cmd, anaconda, etc) nvcc --version Jul 31, 2018 · I had installed CUDA 10. CUDA Features Archive. *release \([0-9]\+\. This tutorial provides step-by-step instructions on how to verify the installation of CUDA on your system using command-line tools. 5 still "supports" cc3. It will work even when the two versions mismatch. I add the version of Cuda when I created the environment. Last time I tried this command, and it showed the nvinfer API version was 4. I wonder if . e. 6 by mistake. 0, 9. Apr 2, 2024 · I have installed CUDA and was about to build OpenCV 4. You can manually implement replication by constructing your model on each GPU. This will output the specific toolkit For GCC and Clang, the preceding table indicates the minimum version and the latest version supported. nvcc -V shows the version of the current CUDA installation. nvidia-smi. Often, the latest CUDA version is better. Learn how to check the CUDA version and the NVIDIA driver on Linux, Windows, and macOS using command-line tools. Jun 20, 2022 · I want to use a different version of Cuda in the conda virtual environment. For example: Aug 29, 2024 · Release Notes. Step 0: Check CUDA Version. conda list tells me cudatoolkit version is 10. /bandwidthTest Mar 31, 2021 · I have multiple CUDA versions installed on the server, e. Apr 3, 2022 · The corresponding torchvision version for 0. May 5, 2020 · WRITE FOR US. Jun 26, 2024 · (or /usr/local/cuda/bin/nvcc --version) which gives the CUDA compiler version that matches the toolkit version. If you encounter any errors while verifying the CUDA installation, make sure that the environment variables are set correctly and that the CUDA Toolkit and NVIDIA GPU driver are installed correctly. The API call gets the CUDA version from the active driver, currently loaded in Linux or Windows. # is the latest version of CUDA supported by your graphics driver. 04 machine and checked the cuda version using the command "nvcc --version". 3 GB Cached: 0. I believe I installed my pytorch with cuda 10. I want to use a virtual conda environment for tensorflow 1. version) with respect to the installed cudart (CUDA runtime) library. When you’re writing your own code, figuring out how to check the CUDA version, including capabilities is often accomplished with the cudaDriverGetVersion API call. Using the Deep Learning Base AMI. Step 5: Using the CUDA Kernel in Jupyter Notebooks. 5 installer does not. It is lazily initialized, so you can always import it, and use is_available() to determine if your system supports CUDA. nvidia-smi says I have cuda version 10. You can't change it. distribute. For this tutorial, we’ll be using the 12. To do this, open the Anaconda prompt or terminal and type the following Apr 3, 2020 · CUDA Version: ##. Aug 29, 2024 · CUDA on WSL User Guide. 0 and 10. 2 I had to slighly change your command: !pip install mxnet-cu92; First check the CUDA version Apr 2, 2023 · † CUDA 11. 0-base-ubuntu22. Aug 15, 2024 · For more information about distribution strategies, check out the guide here. Using pip. 3v // u need to replace with ur verisons more "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11. choosing the right CUDA version depends on the Nvidia driver version. You can use following configurations (This worked for me - as of 9/10). Pull the specific NVIDIA CUDA image: # docker pull nvidia/cuda:12. Jul 22, 2023 · Yes, you can check if your GPU supports CUDA through your browser. 1 and CUDNN 7. rand(10). Another way to determine the CUDA version on Linux is by checking the system information. _C. For more info about which driver to install, see: Getting Started with CUDA Feb 20, 2024 · The output shows the How to check CUDA version as a tuple, where the first element is the major version and the second is the minor version. 2) If you have an existing version, uninstall it before proceeding further. [0-9]\+\). Jul 10, 2023 · This command will display the version of CUDA installed on your system. Your articles will feature various GNU/Linux configuration tutorials and FLOSS technologies used in combination with GNU/Linux operating system. It will display the installed CUDA version. The CUDA runtime version indicates CUDA compatibility (i. Aug 25, 2021 · The output prints the installed PyTorch version along with the CUDA version. The reason is probably the used CUDA version 12. Different output can be seen in the screenshot below. it shows version as 7. This method provides a more comprehensive overview of your system’s hardware and software components, making it a useful option for those who prefer a more detailed analysis. (sample below) Default value: 0. 0 or later toolkit. Let’s see what some of these values mean: CUDA Version – indicates the version of Compute Unified Device Architecture (CUDA) that is compatible with the installed drivers; 0 – indicates the GPU ID, useful in systems with multiple GPUs Jun 25, 2021 · It doesn't look things up -- that is the point. NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers. driver. Oct 30, 2023 · Now let‘s look at checking the CUDA toolkit version… Checking Installed CUDA Toolkit Version. First add a CUDA build customization to your project as above. 80. The following python code works well for both Windows and Linux and I have tested it with a variety of CUDA (8-11. The parent directory of nvcc command. CuPy uses the first CUDA installation directory found by the following order. Aug 10, 2020 · Learn three methods to check NVIDIA CUDA version in Linux: nvcc, nvidia-smi, and cat /usr/local/cuda/version. LinuxConfig is looking for a technical writer(s) geared towards GNU/Linux and FLOSS technologies. 0 Jun 13, 2023 · Note that the cu111 in the URL specifies that we want to install the version of PyTorch that is compatible with CUDA 11. 0 in my ubuntu 16. is_available() finally returns True. 1. Thank you in advance for your help. 04, execute. Which is the command to see the "correct" CUDA Version that pytorch in conda env is seeing? This, is a similar question, but doesn't get me far. 5 devices; the R495 driver in CUDA 11. 5!!!. Jul 10, 2023 · NVIDIA graphics card with CUDA support; Step 1: Check the CUDA version. 1. But after using these configurations, torch. get_version() # Print the version Jul 31, 2024 · CUDA 11. Nov 13, 2023 · python -m ipykernel install --user --name=cuda --display-name "cuda-gpt" Here, --name specifies the virtual environment name, and --display-name sets the name you want to display in Jupyter Notebooks. May 25, 2023 · Alternatively, you can check the CUDA version using the cuda. : Tensorflow-gpu == 1. The API documen Jul 1, 2024 · Install Windows 11 or Windows 10, version 21H2. "get_build_info" , with emphasis on the second word in that API's name. memory_reserved. , /opt/NVIDIA/cuda-9. 1 and /opt/NVIDIA/cuda-10, and /usr/local/cuda is linked to the latter one. g. Strategy works under the hood by replicating computation across devices. However, always ensure to check for the latest tags at NVIDIA CUDA Docker Hub to stay updated. As long as your 6 days ago · Install GPU drivers on VMs by using NVIDIA guides. 0 on my laptop the CUDA files are existed in this Sep 29, 2021 · Many laptop Geforce and Quadro GPUs with a minimum of 256MB of local graphics memory support CUDA. y argument during installation ensures you get a version compiled for a specific CUDA version (x. Sep 14, 2022 · To correctly select the CUDA toolkit vesion you need:. 9, CUDA 12. To install PyTorch via Anaconda, and you do have a CUDA-capable system, in the above selector, choose OS: Linux, Package: Conda and the CUDA version suited to your machine. Open the terminal application on Linux or Unix. But it was wrong! At that moment my tensorRT’s version was 3. h" Jan 8, 2018 · Edit: torch. /bandwidthTest:. 0. And the 2nd thing which nvcc -V reports is the CUDA version that is currently being used by the system. If you have a different version of CUDA installed, you should adjust the URL accordingly. 60. This article explains how to check CUDA version, CUDA availability, number of available GPUs and other CUDA device related details in PyTorch. Note : The CUDA Version displayed in this table does not indicate that the CUDA toolkit or runtime are actually installed on your system. \nvidia-smi. which at least has compatibility with CUDA 11. The Local Installer is a stand-alone installer with a large initial download. 4-1, which misled me to believe that my tensorRT’s version was 4. How can I check which version of CUDA that the installed pytorch actually uses in running? Jun 1, 2017 · To check GPU Card info, deep learner might use this all the time. Download and install the NVIDIA CUDA enabled driver for WSL to use with your existing CUDA ML workflows. Nov 4, 2023 · Hi all, I want to know two information How to check which CUDA version is being made use during inferencing How to select a particular CUDA version to be made use when I have multiple versions, let us say cuda/ cuda-10/ cuda-10. 2. The 3 methods are CUDA toolkit’s nvcc, NVIDIA driver’s nvidia-smi, and simply checking a file. 0/samples sudo make cd bin/x86_64/linux/release sudo . 0+cu102 means the PyTorch version is 1. version. 8. Oct 8, 2013 · In the runtime API, cudaGetDeviceProperties returns two fields major and minor which return the compute capability any given enumerated CUDA device. Alternatively, you can configure your project always to build with the most recently installed version of the CUDA Toolkit. Find out the system requirements, download options, and verification methods for CUDA. Sep 2, 2020 · To check the CUDA version with nvcc on Ubuntu 18. . Update the Linux distribution package Sep 25, 2022 · Finding the NVIDIA cuda version. – torch. Aug 29, 2024 · Learn how to install and check the CUDA Toolkit on Windows systems. WSL or Windows Subsystem for Linux is a Windows feature that enables users to run native Linux applications, containers and command-line tools directly on Windows 11 and later OS builds. The CUDA driver version (as reported here) reports the same information with respect to the driver. Sep 12, 2023 · NVIDIA maintains a series of CUDA images on Docker Hub. The Base AMI comes with a foundational platform of GPU drivers and acceleration libraries to deploy your own customized deep learning environment. to(device) Jul 27, 2024 · Installation Compatibility:When installing PyTorch with CUDA support, the pytorch-cuda=x. Dec 16, 2017 · Moreover, according to the article, you can also run . torch. The Network Installer allows you to download only the files you need. For example, 1. CUDA_PATH environment variable. def is_cuda_cv(): # 1 == using cuda, 0 = not using cuda try: count = cv2. The CUDA Toolkit End User License Agreement applies to the NVIDIA CUDA Toolkit, the NVIDIA CUDA Samples, the NVIDIA Display Driver, NVIDIA Nsight tools (Visual Studio Edition), and the associated documentation on CUDA APIs, programming model and development tools. CUDA Toolkit itself has requirements on the driver, Toolkit 12. My problem is that instead of using the Cuda that is installed in the conda Get the latest feature updates to NVIDIA's compute stack, including compatibility support for NVIDIA Open GPU Kernel Modules and lazy loading support. How Can I be sure that it is accurate? Jun 7, 2024 · Checking CUDA Version in System Information. From the application code, you can query the runtime API version with: cudaRuntimeGetVersion() nvidia-smi shows that maximum available CUDA version support for a given GPU driver. Open Microsoft Store and install the Ubuntu Linux distribution, which generally has the most updated version. When I use tensorflow-gpu 2. It searches for the cuda_path, via a series of guesses (checking environment vars, nvcc locations or default installation paths) and then grabs the CUDA version from the output of nvcc --version. 2/ Please let me know. See examples of nvcc, nvidia-smi, cat and dpkg commands to display the CUDA version on screen. 1 as well as all compatible CUDA versions before 10. So use memory_cached for older versions. 02 (Linux) / 452. 9. This function returns a tuple containing the major, minor, and revision versions of the CUDA driver. For CUDA the Compute Capability and Shader Clock might be interesting for you? May 19, 2023 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand Aug 3, 2021 · Status: CUDA driver version is insufficient for CUDA runtime version If this statement is true, why my installation is still bad, because I already installed cudatoolkit=10. ) If you want to reinstall ubuntu to create a clean setup, the linux getting started guide has all the instructions needed to set up CUDA if that is your intent. May 17, 2017 · I installed cuda 8. 04 Run the Docker container with GPU support:. Learn more Explore Teams Jan 21, 2022 · Thank you for your answer! I edited my OP. This works on Linux as Jul 17, 2024 · The easiest way to check your CUDA version is by using the command line. The setup of CUDA development tools on a system running the appropriate version of Windows consists of a few simple steps: ‣ Verify the system has a CUDA-capable GPU. Output: Using device: cuda Tesla K80 Memory Usage: Allocated: 0. From application code, you can query the runtime API version with cudaRuntimeGetVersion() May 5, 2024 · Learn various ways and commands to check for the version of CUDA installed on Linux or Unix-like systems. In doing so, I noticed a whole series of build errors. 4. Therefore, to give it a try, I tried to install pytorch 1. Install the GPU driver. If you are using the NVIDIA GPU Operator to install your drivers the feature discovery service will automatically add labels to your nodes with this version info. Check the driver version For Windows in C:\Program Files\NVIDIA Corporation\NVSMI run . You can use that to parse the compute capability of any GPU before establishing a context on it to make sure it is the right architecture for what your code does. Under CUDA C/C++, select Common, and set the CUDA Toolkit Custom Dir field to $(CUDA_PATH). memory_cached has been renamed to torch. But you’ll then have to pay attention to the version of the GPU drivers. Aug 17, 2020 · Here you will learn how to check CUDA version for TensorFlow. 04 tag. The value it returns implies your drivers are out of date. getCudaEnabledDeviceCount() if count > 0: return 1 else: return 0 except: return 0 Are you looking for the compute capability for your GPU, then check the tables below. first open the jupyter notebbok server: jupyter notebook. 2 based on what I get from running torch. In addition it has some more in-depth information for each of those things. Aug 16, 2017 · Get CUDA version from CUDA code. There you can find which version, got release with which version! Compute capability is fixed for the hardware and says which instructions are supported, and CUDA Toolkit version is the version of the software you have installed. If you’re using Ubuntu or any other Linux distro, this command is your best friend. 04, and when I check with nvidia-smi and nvcc --version, they run but my torch could not detect the CUDA installation. 1 in Conda: If you want to install a GPU driver, you could install a newer CUDA toolkit, which will have a newer GPU driver (installer) bundled with it. A guide to torch. 0 or 10. CMAKE will look in the system directories and generate the makefiles. Yours may vary, and may be 10. cuda package in PyTorch provides several methods to get details on CUDA devices. nvidia-smi shows the highest version of CUDA supported by your driver. 0 packages and earlier. And when I use nvcc I would like it to shows me CUDA versions 11. Jan 2, 2021 · Use the following command to check CUDA installation by Conda: conda list cudatoolkit. Ensure that the version is compatible with the version of Anaconda and the Python packages you are using. Because the Makefile that is used by that make command is using make-specific syntax to check for that environment variable specifically For debugging CUDA code and checking compatibilities I need to find out what nvidia driver version for the GPU I have installed. PyTorch via Anaconda is not supported on ROCm currently. If that's not working, try nvidia-settings -q :0/CUDACores. The list of CUDA features by release. Manual placement. This version here is 10. As a result, if a user is not using the latest NVIDIA driver, they may need to manually pick a particular CUDA version by selecting the version of the cudatoolkit conda Dec 14, 2017 · Yes, you should install at least one system-wide CUDA installation on Windows when you use the GPU package. Aug 9, 2022 · In my case, the CUDA version shown by ncvv -V must be >=11. cuda. Then, right click on the project name and select Properties. With ROCm. As of OpenCV 4. How to use the Deep Learning Base AMI. This flag is only supported from the V2 version of the provider options struct when used using the C API. cd /usr/local/cuda-8. Also, find out how to verify your CUDA version with NVIDIA Control Panel and CUDA Toolkit Documentation. Nov 27, 2018 · if you are sure about installed successfuly cuda toolkit on your computer ; you should generate your file with cmake, check your flags about CUBLAS. Column descriptions: Min CC = minimum compute capability that can be specified to nvcc (for that toolkit version) Deprecated CC = If you specify this CC, you will get a deprecation message, but compile should still proceed. In the example above the graphics driver supports CUDA 10. See screenshots, output, and explanations for each method. The 3 methods are nvcc from CUDA toolkit, nvidia-smi from NVIDIA driver, and simply checking a file. cuda, The fixed version of this example is: the NVML-based check may succeed while later CUDA initialization fails. Feb 9, 2021 · torch. Method 1: Node labels. Dec 26, 2012 · Looking through the answers and comments on CUDA questions, and in the CUDA tag wiki, I see it is often suggested that the return status of every API call should checked for errors. The guide for using NVIDIA CUDA on Windows Subsystem for Linux. get_version() function. As cuda version I installed above is 9. Like whenever a card is CUDA/OpenCL/Vulkan compatible. Step 2: Check the CUDA Toolkit Path. 1 as the default version. The NVIDIA drivers are designed to be backward compatible to older CUDA versions, so a system with NVIDIA driver version 525. If you installed the torch package via pip, there are two ways to check the PyTorch Check convolution input padding in the CUDA EP for details on what this flag does. 0 but could not find it in the repo for WSL distros. 0 installed, all of which are configured in the environment path. Simply open your Chrome browser, type chrome://gpu in the address bar, and use the search function to look for "cuda". The last line reveals a version of your CUDA version. To find out if your notebook supports it, please visit the link below. enter image description here Dec 14, 2019 · Let’s continue if your GPU is CUDA enabled. 622828 __Hardware Information__ Machine : x86_64 CPU Name : ivybridge CPU Features : aes avx cmov cx16 f16c fsgsbase mmx pclmul popcnt rdrnd sse sse2 sse3 sse4. is_available() shows FALSE, so it sees No CUDA? Jul 31, 2024 · CUDA 11. Aug 26, 2018 · If you install numba via anaconda, you can run numba -s which will confirm whether you have a functioning CUDA system or not. The easiest way is to look it up in the previous versions section. Getting CUDA Version. However, I tried to install CUDA 11. tf. _cuda_getDriverVersion() is not the cuda version being used by pytorch, it is the latest version of cuda supported by your GPU driver (should be the same as reported in nvidia-smi). Feb 20, 2024 · If you have already installed WSL with an earlier version (WSL1), you must update it to version 2. FAQs Aug 11, 2017 · #cudnn version check (win10) in my case its cuda 11. EULA. cuda¶ This package adds support for CUDA tensor types. Unfortunately it is quite difficult to find out which CUDA version is currently working. In this case, the CUDA version is 12. Check using CUDA Graphs in the CUDA EP for details on what this flag does. txt. y). If it is unchecked, please check it like on this picture. 3. With CUDA. 0, how to know which version of cuda is to be deployed, without considering that the present version of tensorflow is only compatible with cuda 10. Jan 7, 2024 · The first line displays the version of nvidia-smi and the installed NVIDIA Driver Version. Run the nvcc command to query the NVIDIA CUDA compiler: nvcc --version. 2, most of them). Aug 15, 2021 · In the /usr/local/cuda-11. xx is a driver that will support CUDA 5 and previous (does not support newer CUDA versions. x and one environment for PyTorch. It implements the same function as CPU tensors, but they utilize GPUs for computation. Aug 29, 2024 · The CUDA installation packages can be found on the CUDA Downloads Page. 13 can support CUDA 12. x and another conda env for tensorflow 2. 0 was released with an earlier driver version, but by upgrading to Tesla Recommended Drivers 450. Aug 5, 2020 · Here you will learn how to check NVIDIA CUDA version for PyTorch and other frameworks like TensorFlow. Only if you couldn't find it, you can have a look at the torchvision release data and pytorch's version. 0 needs at least driver 527, meaning Kepler GPUs or older are not supported. By simply typing nvcc --version , you can get a quick answer. 14. Sep 5, 2020 · Works for me! My image uses nvidia/cuda:11. Apr 29, 2020 · count returns the number of installed CUDA-enabled devices. It covers methods for checking CUDA on Linux, Windows, and macOS platforms, ensuring you can confirm the presence and version of CUDA and the associated NVIDIA drivers. 3\include\cudnn_version. Post-installation After installing the CUDA libraries and the framework, as a post-install setup, the PATH variable of the OS needs to be updated to make the installed libraries Sep 4, 2019 · Now available on Stack Overflow for Teams! AI features where you work: search, IDE, and chat. Then type the nvcc –version command to view the version on screen: To check CUDA version use the nvidia-smi command: How do I change the CUDA version in Windows? Swap CUDA Toolkit Versions on Windows. If you are on a Linux distribution that may use an older version of GCC toolchain as default than what is listed above, it is recommended to upgrade to a newer toolchain CUDA 11. 243. Open the Ubuntu terminal, create a user account and set a password. 6 GB As mentioned above, using device it is possible to: To move tensors to the respective device: torch. Now you have check the system information for your GPU. 1 is 0. /deviceQuery sudo . You will see the full text output after the screenshot too. 1-devel-ubuntu20. I would like to set CUDA Version: 11. If you want to install/update CUDA and CUDNN through CONDA, please use the following commands: conda install -c anaconda cudatoolkit. Check what version of CUDA you have. 1 sse4. Jul 10, 2023 · If CUDA is installed correctly, you should see the version of the CUDA Toolkit that is installed, along with the version of the NVIDIA GPU driver. This flag is only supported If you have installed CUDA on the non-default directory or multiple CUDA versions on the same host, you may need to manually specify the CUDA installation directory to be used by CuPy. Dec 20, 2017 · It will show the version of nvinfer API, but not the version of your tensorRT. Sep 19, 2019 · CUDA Version 10. The Release Notes for the CUDA Toolkit. 0, and the CUDA version is 10. Mar 16, 2012 · (or /usr/local/cuda/bin/nvcc --version) gives the CUDA compiler version (which matches the toolkit version). Oct 7, 2023 · Look for the “CUDA” section in the system information window. 2 ssse3 Oct 9, 2020 · The nvcc --version command shows me this : When I tried to use 'sudo apt install nvidia-cuda-toolkit', it installs CUDA version 9. nvcc --version. 0/bin directory, you will be able to find the nvcc (CUDA compiler toolkit) which can be used to compile programs that utilize CUDA framework. On a linux system with CUDA: $ numba -s System info: ----- __Time Stamp__ 2018-08-27 09:16:49. Then, run the command that is presented to you. 2. You can use this function for handling all cases. In short. *$/\1/p') from the output of nvcc -V, in which the version is given after the key word "release": May 23, 2017 · E. It’s recommended that you install the same version of CUDA that PyTorch compiles with. Alternatively, use your favorite Python IDE or code editor and run the same code. The CUDA version dependencies are built in to Tensorflow when the code was written and when it was built. The next step is to check the path to the CUDA toolkit. NVIDIA GPU Accelerated Computing on WSL 2 . May 28, 2018 · Now finally install mxnet. The following result tell us that: you have three GTX-1080ti, which are gpu0, gpu1, gpu2. Aug 12, 2022 · When using GPUs with Kubernetes it can be important to know which driver and CUDA versions are installed on the nodes. Here are the steps to follow: 1) Check if you have an existing version of CUDA installed on your computer by going to the control panel and searching for "CUDA". As I previously installed CUDA version 9. CUDA semantics has more details about working with CUDA. but you can check the user guides of future releases here Step 0: Check CUDA Version. This article explains how to get complete TensorFlow's build environment details, which includes cuda_version, cudnn_version, cuda_compute_capabilities etc. I found How to get the cuda version? but that does not help me here. Thanks and Regards Nagaraj Trivedi Mar 29, 2023 · How to update CUDA version? Updating your CUDA version is a straightforward process. One way to install the NVIDIA driver on most VMs is to install the NVIDIA CUDA Toolkit. 39 (Windows) as indicated, minor version compatibility is possible across the CUDA 11. Open a terminal and execute the following command: “` nvcc –version “` May 27, 2021 · If you have the nvidia-settings utilities installed, you can query the number of CUDA cores of your gpus by running nvidia-settings -q CUDACores -t. x family of toolkits. Aug 12, 2024 · Learn how to use Command Prompt or PowerShell to display your CUDA version in a few simple steps. 89. The output will look something like this: Jul 10, 2015 · My answer shows how to check the version of CuDNN installed, which is usually something that you also want to verify. Once you know the maximum CUDA version supported by your drivers, you need to verify which version of the CUDA toolkit is installed. Here is an example of how to use this function: import cuda # Get the CUDA driver version driver_version = cuda. Install Linux distribution. To check the CUDA version, type the following command in the Anaconda prompt: nvcc --version This command will display the current CUDA version installed on your Windows machine. And the following command to check CUDNN version installed by conda: conda list cudnn. 2 is probably supported. You can learn more about Compute Capability here. How can I check my CUDA version on Linux? To check your CUDA version on Linux, you can use the nvcc compiler command. exe; There is important driver version and the CUDA version. Open Jupyter Notebooks . Note: With the exception of Windows, these instructions do not work on VMs that have Secure Boot enabled. 304. enable_cuda_graph . according to this answer we could get cuda version via: CUDA_VERSION=$(nvcc --version | sed -n 's/^. Windows When installing CUDA on Windows, you can choose between the Network Installer and the Local Installer. 1 . This relates to the driver compatibility model in CUDA. This tutorial provides step-by-step instructions and examples for each platform. To use these features, you can download and install Windows 11 or Windows 10, version 21H2. 1, which is the latest version at the time of writing. bhmu wpjofa vpfwqs amxn xeyleks hboomlo owp pllr djhat khfmx