Cuda toolkit version list. 2 for Linux and Windows operating systems. Mar 18, 2019 · I also downloaded the cuDNN whatever the latest one is and added the files ( copy and paste ) to the respective folders in the cuda toolkit folder. A GPU will support a specific compute version, and if your CUDA version minimum compute capability is higher than that supported by your GPU, your code will not compile or run. If so why is it same in all the enviroments [sic]? Because it is a property of the driver. For example pytorch=1. Table 1. GPU Requirements Release 23. 创建虚拟环境，具体流程请自行百度。 5. g. Only supported platforms will be shown. 0 to the most recent one (11. Improve this answer. 01 >=511. And when you try and use CUDA 10. Again, note the --settings are optional and default. Install the NVIDIA GPU driver for your Linux distribution. Note that minor version compatibility will still be maintained. 5 devices; the R495 driver in CUDA 11. 5, CUDA 8, CUDA 9), which is the version of the CUDA software platform. For a complete list of supported drivers, see the CUDA Application Compatibility topic. 0 is CUDA 11. 9 or cc9. This command will print the version of CUDA Toolkit that is installed. grep cuda-toolkit ii cuda-toolkit-10-2 10. With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. Check System Compatibility for Other CUDA Toolkit Versions. Apr 22, 2024 · This documentation walks you through installation of NVIDIA driver version 390. 4 would be the last PyTorch version supporting CUDA9. ** CUDA 11. Download CUDA 11. Return the random number generator state of the specified GPU as a ByteTensor. : Tensorflow-gpu == 1. This command will install the latest versions of CUDA Toolkit and cuDNN. 若确认不存在nvcc和CUDA驱动，官网安装CUDA Driver和完整版的CUDA toolkit（部分博客说安装CUDA toolkit时会同时安装CUDA Driver，未验证） 3. 6 GA >=510. nvidia. Different tensorflow-gpu versions can be installed by creating different anacond a environments (I prefer to use miniconda that offers minimal installed packages). May 17, 2017 · I installed cuda 8. 0, some older GPUs were supported also. it shows version as 7. The guide for using NVIDIA CUDA on Windows Subsystem for Linux. Additionally, to verify compatibility with your system, consider these (these are not PyTorch specific code but system calls): Check Nvidia driver version: nvcc --version Check CUDA toolkit version (Linux/Mac): cat /usr/ local /cuda/version. Resources. 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. * Using a Minimum Required Version that is different from Toolkit Driver Version could be allowed in compatibility mode -- please read the CUDA Compatibility Guide for details. 0 in my ubuntu 16. CUDA Toolkit and drivers may also deprecate and drop support for GPU architectures over the product life cycle of the CUDA Toolkit. 1 through 8. 0 GA1 (Sept 2016), Online Documentation CUDA Toolkit 7. Overview 1. 80. 02. May 1, 2024 · CUDA Version CUDA（Compute Unified Device Architecture）は、NVIDIAのGPUを利用して高度な計算処理を高速に実行するためのアーキテクチャです。 ディープラーニングを行う上で、このアーキテクチャは不可欠です。 Aug 16, 2017 · This means that we have CUDA version 8. 6 is CUDA 11. Y would be a specific version of the CUDA Toolkit, such as /usr/local/cuda-9. 0 Aug 29, 2024 · Open the Visual Studio project, right click on the project name, and select Build Dependencies > Build Customizations…, then select the CUDA Toolkit version you would like to target. Where X. From CUDA 11 onwards, applications compiled with a CUDA Toolkit release from within a CUDA major release family can run, with limited feature-set, on systems having at least the minimum required driver version as indicated below. 8-1~trustyppa1 all Interface for toggling the power on NVIDIA Optimus video cards ii bumblebee 3. Checking CUDA and Driver Versions. Once CUDA Toolkit and cuDNN have been installed, you can verify that they are installed by running the following command: nvcc –version. 2) and you cannot use any other version of CUDA, regardless of how or where it is installed, to satisfy that dependency. 157 and CUDA-Toolkit-5. End User License Agreements Table 1. 7 Release Notes NVIDIA CUDA Toolkit 11. 3. 5. 7であることが分かりました。 cuDNNのバージョンを知るには. Version Information. 0 (March 2015) CUDA Toolkit 6. 61 installed. 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 12. 下载CUDA版本小于等于nvcc --version的pytorch及其附带的CUDA toolkit(不完整版) NVIDIA Optimized Frameworks such as Kaldi, NVIDIA Optimized Deep Learning Framework (powered by Apache MXNet), NVCaffe, PyTorch, and TensorFlow (which includes DLProf and TF-TRT) offer flexibility with designing and training custom (DNNs for machine learning and AI applications. 3 Component Versions; Component Name Version Information Supported Architectures; CUDA Runtime (cudart) 11. For older GPUs you can also find the last CUDA version that supported that compute capability. choosing the right CUDA version depends on the Nvidia driver version. 03 Jul 30, 2020 · However, regardless of how you install pytorch, if you install a binary package (e. For instance, my laptop has an nVidia CUDA 2. 02 (Linux) / 452. 0 Release Notes. Select Linux or Windows operating system and download CUDA Toolkit 11. 183. May 5, 2020 · The objective of this tutorial is to show the reader how to check CUDA version on Ubuntu 20. This guide covers the basic instructions needed to install CUDA and verify that a CUDA application can run on each supported platform. 0 to CUDA 8. 4 と出ているのは，インストールされているCUDAのバージョンではなくて，依存互換性のある最新バージョンを指しています．つまり，CUDAをインストールしていなくても出ます． The other half is the Compute Capability. Get CUDA version from CUDA code Jul 1, 2024 · Release Notes. 1-90~trustyppa1 amd64 NVIDIA Optimus support ii bumblebee-nvidia 3. CUDA Programming Model . A list of GPUs that support CUDA is at: http://www. 5 are compatible with Pascal as long as they are built to include PTX versions of their kernels. Depending on your desired target CUDA Toolkit version you intend to install on your system, consider the following requirements to successfully run the toolkit. 0」ということが分かります。 Sep 15, 2023 · こんな感じの表示になれば完了です． ちなみにここで CUDA Version: 11. 2 | 1 Chapter 1. CUDA C++ Core Compute Libraries Sections. Introduction . Linux x86_64 Driver Version. 0 and later. 4. 09 Resources. To check the version, you can run: nvcc --version Dec 22, 2023 · Looking at that table, then, we see the earliest CUDA version that supported cc8. 2. 1. 0 or C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9. 54. Also, choosing a specific (older) CUDA toolkit version might not always be compatible with newer kernels. Jul 17, 2024 · This includes verifying the installed version and making sure your hardware is compatible with the CUDA Toolkit. 1, 10. Return a list of ByteTensor representing the random number states of all devices. Both of your GPUs are in this category. Windows x86_64 Driver Version. From application code, you can query the runtime API version with cudaRuntimeGetVersion() Jul 31, 2024 · CUDA 11 and Later Defaults to Minor Version Compatibility. 2\extras\CUPTI\lib64 . 2 GA >=535. 0, one or more of the -gencode options will need to be removed according to the architectures supported by the specific toolkit version (for example, CUDA toolkit 9. The list of CUDA features by release. 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. I assume this is a GeForce GTX 1650 Ti Mobile, which is based on the Turing architecture, with compute capability 7. NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers. 6. Apr 2, 2023 · † CUDA 11. 5 still "supports" cc3. nvcc --version reports the version of the CUDA toolkit you have installed. com/object/cuda_learn_products. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Some CUDA Samples rely on third-party applications and/or libraries, or features provided by the CUDA Toolkit and Driver, to either build or execute. These predate the html page above and have to be manually installed by downloading the wheel file and pip install downloaded_file Jul 27, 2024 · The versions you listed (9. Jul 1, 2024 · To use these features, you can download and install Windows 11 or Windows 10, version 21H2. Aug 29, 2024 · CUDA on WSL User Guide. The earliest version that supported cc8. 1 For additional insights on CUDA for this these platforms, check out our blogs and on-demand GTC sessions below: Dec 11, 2020 · I think 1. 1 Component Versions ; Component Name. NVIDIA GPU Accelerated Computing on WSL 2 . Download CUDA Toolkit 11. Aug 29, 2024 · For CUDA toolkits prior to 10. Description. 64 RN-06722-001 _v11. 5 or Earlier CUDA applications built using CUDA Toolkit versions 2. In particular, if your headers are located in path /usr/local/cuda/include, then you Aug 10, 2020 · 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. Figure out which one is the relevant one for you, and modify the environment variables to match, or get rid of the older versions. You can find details of that here. 4 (1,2,3,4,5) Runtime compilation such as the runtime fusion engines, and RNN require CUDA Toolkit 11. This is the version that is used to compile CUDA code. 0 is available to download. The earliest CUDA version that supported either cc8. CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). Compiler The CUDA-C and CUDA-C++ compiler, nvcc, is found in the bin/ directory. 1 (August 2024), Versioned Online Documentation. 2, 10. 0 was released with an earlier driver version, but by upgrading to Tesla Aug 1, 2024 · This column specifies whether the given cuDNN library can be statically linked against the CUDA toolkit for the given CUDA version. Nov 3, 2022 · 上の図より、ディスプレイドライバ「515. . 6 by mistake. x family of toolkits. The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. 0-39-generic). If a sample has a third-party dependency that is available on the system, but is not installed, the sample will waive itself at build time. In general, it's recommended to use the newest CUDA version that your GPU supports. Download and install the NVIDIA CUDA enabled driver for WSL to use with your existing CUDA ML workflows. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Resources. 上述の「Table 1. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Aug 29, 2024 · Release Notes. How do I know what version of CUDA I have? There are various ways and commands to check for the version of CUDA installed on Linux or Unix-like systems. 1 through 5. For more info about which driver to install, see: Getting Started with CUDA on WSL 2; CUDA on Windows Subsystem for Linux The compute capability version of a particular GPU should not be confused with the CUDA version (for example, CUDA 7. The CUDA platform is used by application developers to create applications that run on many generations of GPU architectures, including future GPU Sep 29, 2021 · All 8-series family of GPUs from NVIDIA or later support CUDA. 04 Focal Fossa Linux. Archived Releases. Note that if the nvcc version doesn’t match the driver version, you may have multiple nvccs in your PATH. 0 GA2 (Feb 2017), Online Documentation CUDA Toolkit 8. The CUDA Toolkit targets a class of applications whose control part runs as a process on a general purpose computing device, and which use one or more NVIDIA GPUs as coprocessors for accelerating single program, multiple data (SPMD) parallel jobs. Dec 12, 2022 · New nvJitLink library in the CUDA Toolkit for JIT LTO; Library optimizations and performance improvements; Updates to Nsight Compute and Nsight Systems Developer Tools; Updated support for the latest Linux versions; For more information, see CUDA Toolkit 12. 0 and /usr/local/cuda-10. Search In: Entire Site Just This Document clear search search. 3 (1,2,3,4,5,6,7,8) Requires CUDA Toolkit >= 11. 1 because that's the version of the CUDA toolkit you have installed. CUDA Toolkit and Corresponding Driver Versions CUDA Toolkit. Overview of External Memory Management Sep 2, 2019 · GeForce GTX 1650 Ti. In my development environment with NVIDIA RTX 2070 GPU I have following multiple configurations in my system. Aug 19, 2019 · 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 cuda. Mar 16, 2012 · (or /usr/local/cuda/bin/nvcc --version) gives the CUDA compiler version (which matches the toolkit version). 0 GA2. The CUDA container images provide an easy-to-use distribution for CUDA supported platforms and architectures. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. CUDA 11. 0 was released with an earlier driver version, but by upgrading to Tesla Recommended Drivers 450. Jul 31, 2018 · I had installed CUDA 10. 1 GPU, which means I can't install a CUDA toolkit more recent than CUDA 8. This works on Linux as well as Windows: nvcc --version Share. 0 or higher. It is the maximum CUDA version that the active driver in your system supports. 0 or Earlier CUDA applications built using CUDA Toolkit versions 2. 0. 0) represent different releases of CUDA, each with potential improvements, bug fixes, and new features. With CUDA, developers can dramatically speed up computing applications by harnessing the power of GPUs. ) This has many advantages over the pip install tensorflow-gpu method: Anaconda will always install the CUDA and CuDNN version that the TensorFlow code was compiled to use. 5 (August 2014) Thus, users should upgrade from all R418, R440, R460, and R520 drivers, which are not forward-compatible with CUDA 12. Aug 4, 2020 · 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 Apr 16, 2021 · Table 1. The first step is to check the CUDA version and driver versions on your Linux system. CUDACompatibility,Releaser555 CUDACompatibility CUDACompatibilitydescribestheuseofnewCUDAtoolkitcomponentsonsystemswitholderbase installations. x supports architectures up to _60 and _61). Jul 10, 2015 · Ubuntu 18. 0 (Sept 2017), Online Documentation CUDA Toolkit 8. 2 (Old) PyTorch Linux binaries compiled with CUDA 7. GPU, CUDA Toolkit, and CUDA Driver Requirements Feb 22, 2024 · 2. CUDA 12. By aligning the TensorFlow version, Python version, and CUDA version appropriately, you can optimize your GPU utilization for TensorFlow-based machine learning tasks effectively. You can learn more about Compute Capability here. CUDA Features Archive. Search Apr 2, 2021 · My Configuration. 1 through 7. 5 (sm_75). 0 on Ubuntu 22. 8. 2) will work with this GPU. 5 or later. CUDA Documentation/Release Notes; MacOS Tools; Training; Sample Code; Forums; Archive of Previous CUDA Releases; FAQ; Open Source Packages; Submit a Bug; Tarball and Zi Dec 30, 2019 · All you need to install yourself is the latest nvidia-driver (so that it works with the latest CUDA level and all older CUDA levels you use. Aug 29, 2024 · The following sections show how to accomplish this for applications built with different CUDA Toolkit versions. Supported NVIDIA Hardware and CUDA Version」からcuDNNのバージョンは「8. via conda), that version of pytorch will depend on a specific version of CUDA (that it was compiled against, e. 2, it is why nothing works. 2 (May 2018),Online Documentation CUDA Toolkit 9. - chut89/NVIDIA-Driver390-Setup For GCC and Clang, the preceding table indicates the minimum version and the latest version supported. May 23, 2017 · I plan to use cuDNN on Linux: how to know which cuDNN version I need? Should I always use the most recent one? E. Please select the release you want from the list below, and be sure to check www. 04 (kernel 6. 1 and CUDNN 7. Oct 3, 2022 · NVIDIA CUDA Toolkit Documentation. 0 Note When multiple CUDA Toolkits are installed in the default location of a system (e. Oct 16, 2023 · As displayed in the output result, the CUDA toolkit is now successfully installed and available on your server. , both /usr/local/cuda-9. CUDA Compatibility. Are you looking for the compute capability for your GPU, then check the tables below. as_cuda_array() cuda. This is because newer versions often provide performance enhancements and compatibility with the latest hardware. Is the cuda version shown above is same as cuda toolkit version? It has nothing to do with CUDA toolkit versions. 10. 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. 0 for Windows, Linux, and Mac OSX operating systems. In computing, CUDA (originally Compute Unified Device Architecture) is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs (). 6 Source code for many example CUDA applications using supported versions of Aug 29, 2024 · The following sections show how to accomplish this for applications built with different CUDA Toolkit versions. nvidia-smi, on the other hand, reports the maximum CUDA version that your GPU driver supports. Download Latest CUDA Toolkit. Oct 4, 2016 · In general, how to find if a CUDA version, especially the newly released version, supports a specific Nvidia GPU? All CUDA versions from CUDA 7. 5!!!. 1-90~trustyppa1 amd64 NVIDIA Optimus support using the proprietary NVIDIA driver ii libcublas5. Alternatively, you can configure your project always to build with the most recently installed version of the CUDA Toolkit. Prior to CUDA 7. At the end of this guide you should be able to render the result of nbody sample from CUDA-Toolkit. The CUDA toolkit provides the nvcc command-line utility. By downloading and using the software, you agree to fully comply with the terms and conditions of the CUDA EULA. 58: x86_64, POWER, Arm64 Oct 26, 2023 · Incorrectly managing multiple CUDA versions can lead to system instability or errors in GPU-accelerated applications. Table 3. Supported Platforms. 2, 11. 22-3ubuntu1 amd64 NVIDIA CUDA BLAS runtime library Aug 22, 2024 · Specifically, it updates the OS kernel to the latest and installs a specific CUDA toolkit version driver. Applications Using CUDA Toolkit 5. 01, whereas the NVIDIA P100 has a Default GPU driver version of 470. 2\extras\CUPTI\include , C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12. Introduction 1. 0 exist but the /usr/local/cuda symbolic link does not exist Aug 29, 2024 · NVIDIA CUDA Compiler Driver NVCC. Latest Release. CUDA Toolkit and Corresponding Driver Versions Toolkit Driver Version CUDA Toolkit Linux x86_64 Driver Version Windows x86_64 Driver Version CUDA 11. Download the CUDA Toolkit version 7 now from CUDA Zone!. TheNVIDIA®CUDA Jul 22, 2024 · Installation Prerequisites . CUDA TOOLKIT MAJOR COMPONENTS This section provides an overview of the major components of the CUDA Toolkit and points to their locations after installation. Learn More about CUDA Toolkit. 1 is not available for CUDA 9. Dynamic linking is supported in all cases. 76」に対応するCUDA ToolkitのバージョンはCUDA 11. 1 also introduces library optimizations, and CUDA graph enhancements, as well as updates to OS and host compiler support. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime. The documentation for nvcc, the CUDA compiler driver. com/drivers for more recent production drivers appropriate for your hardware configuration. NVIDIA recommends installing the driver by using the package manager for your distribution. Note: most pytorch versions are available only for specific CUDA versions. CUDA Toolkit v11. Click on the green buttons that describe your target platform. Applications Using CUDA Toolkit 7. Apr 20, 2024 · The following sections highlight the compatibility of NVIDIA ® cuDNN versions with the various supported NVIDIA CUDA ® Toolkit, CUDA driver, and NVIDIA hardware versions. 1 (Dec 2017), Online Documentation CUDA Toolkit 9. minor of CUDA Python. 5 installer does not. Meta-package containing all toolkit packages for CUDA development Feb 28, 2024 · Corollarily, when using tools such as nvidia-smi, the NVIDIA driver reports a maximum version of CUDA supported and thus is able to run applications built with CUDA Toolkits up to that version. 6 days ago · For example, in the supported GPU driver version list for Container-Optimized OS version cos-105-17412-448-12, the NVIDIA L4 has a Default GPU driver version of 535. 0 are compatible with Turing as long as they are built to include PTX versions of their kernels. Additionally, verifying the CUDA version compatibility with the selected TensorFlow version is crucial for leveraging GPU acceleration effectively. Therefore, to safely manage multiple CUDA Toolkit versions for your project, follow these steps: : Check the system current CUDA version. Q: What is CUDA? CUDA® is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). For GCC and Clang, the preceding table indicates the minimum version and the latest version supported. NVIDIA CUDA Toolkit 9. During the build process, environment variable CUDA_HOME or CUDA_PATH are used to find the location of CUDA headers. For more information, see CUDA Compatibility and Upgrades. html get_rng_state. 7. 39 (Windows) as indicated, minor version compatibility is possible across the CUDA 11. Minimal first-steps instructions to get CUDA running on a standard system. Install the GPU driver. Any CUDA version from 10. CUDA Toolkit 9. Updating the kernel might increase the extension installation times. 03 supports CUDA compute capability 6. txt May 5, 2024 · I need to find out the CUDA version installed on Linux. 5 (Sept 2015) CUDA Toolkit 7. 256. 39. Mar 18, 2015 · Today I’m excited to announce the official release of CUDA 7, the latest release of the popular CUDA Toolkit. It is Aug 29, 2024 · CUDA Quick Start Guide. 1. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Jul 31, 2024 · CUDA 11. In your case, nvcc --version is reporting CUDA 10. May 11, 2022 · 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 Download CUDA Toolkit 8. ii bbswitch-dkms 0. Supported Architectures. 0 support GPUs that have a compute capability of 2. CUDA 7 has a huge number of improvements and new features, including C++11 support, the new cuSOLVER library, and support for Runtime Compilation. 04 machine and checked the cuda version using the command "nvcc --version". from_cuda_array_interface() Pointer Attributes; Differences with CUDA Array Interface (Version 0) Differences with CUDA Array Interface (Version 1) Differences with CUDA Array Interface (Version 2) Interoperability; External Memory Management (EMM) Plugin interface. then added the 2 folders to the path: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12. 04 (via sudo apt install nvidia-cuda-toolkit) Getting CUDA Version. Toolkit Driver Version. 89-1 The version of CUDA Toolkit headers must match the major. 0 or later toolkit. Overview. 148 RN-06722-001 _v9. 7 | 2 Component Name Version Information Supported Architectures Sep 23, 2020 · CUDA 11. Jul 27, 2024 · This code snippet checks if a GPU is available and then retrieves the CUDA version that PyTorch is using. The version of the development NVIDIA GPU Driver packaged in each CUDA Toolkit release is shown below. The Release Notes for the CUDA Toolkit. 1 Update 1 for Linux and Windows operating systems. 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. These dependencies are listed below. get_rng_state_all. EULA. 5:amd64 5. 5 are compatible with Maxwell as long as they are built to include PTX versions of their kernels. Note that you don’t need a local CUDA toolkit, if you install the conda binaries or pip wheels, as they will ship with the CUDA runtime. How Can I be sure that it is accurate? Jan 2, 2021 · There is a tensorflow-gpu version installed on Windows using Anaconda, how to check the CUDA and CUDNN version of it? Thanks. 0 for Windows and Linux operating systems. 14. Applications Using CUDA Toolkit 8. The Release Notes for the CUDA Toolkit also contain a list of supported samples_11. General Questions; Hardware and Architecture; Programming Questions; General Questions. Download and extract the binaries of the desired version. You can use following configurations (This worked for me - as of 9/10). metxnq npnt bdjyb pyvjffc mbngq mljd gfms xtr pvc qxmsvng