Cuda toolkit driver compatibility

Cuda toolkit driver compatibility. g. 80. Mar 13, 2024 · How to install NVIDIA Drivers and Cuda Toolkit? This guide is for Linux based machines with Ubuntu 22. Thread Hierarchy . 61. As seen in the picture, a CUDA application compiled with CUDA 9. TheNVIDIA®CUDA Are you looking for the compute capability for your GPU, then check the tables below. For convenience, threadIdx is a 3-component vector, so that threads can be identified using a one-dimensional, two-dimensional, or three-dimensional thread index, forming a one-dimensional, two-dimensional, or three-dimensional block of threads, called a thread block. So, Installed Nividia driver 450. CUDA Python simplifies the CuPy build and allows for a faster and smaller memory footprint when importing the CuPy Python module. 1) with GeForce 950M card . 0 release. You can learn more about Compute Capability here. EULA 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. Dec 6, 2019 · Is there an easy way to determine whether a new version of the CUDA toolkit will be compatible with an installed CUDA driver? Specifically, the driver is v10. 0 or Later1 are compatible with Maxwell as long as they are built to include kernels in either Maxwell-native cubin format (see Building Applications with Maxwell Support) or PTX format (see Applications Using CUDA Toolkit 5. For more information, see CUDA Compatibility and Upgrades and NVIDIA CUDA and Drivers Support. CUDA C++ Core Compute Libraries. Once downloaded, execute the installer: sudo sh cuda_<version>_linux. Oct 8, 2021 · Yes, it is possible for an application compiled with CUDA 10. 0. something like an R535 driver will not prevent you from using e. 7 are compatible with the NVIDIA Ada GPU architecture as long as they are built to include kernels in Ampere-native cubin (see Compatibility between Ampere and Ada) or PTX format (see Applications Built Using CUDA Toolkit 10. That is a general statement of compatibility. 2. 02 (Linux) / 452. 5 or Earlier) or both. working with ubuntu 18. 8 runtime and the reverse. Any help will be apreciated. Jul 31, 2024 · The CUDA driver maintains backward compatibility to continue support of applications built on older toolkits. (in XP) I have written my code which runs well with the 177. 7. For example, 11. Jul 11, 2023 · Installing NVIDIA drivers and CUDA Toolkit is crucial for GPU-accelerated computing and deep learning tasks. Resources. 108 – user27221 Commented Aug 10, 2020 at 14:56 CUDA Driver. Then, run the command that is presented to you. If you have the cc 2. Dec 8, 2018 · However, an application compiled with API from the older driver version will work properly when a newer CUDA driver is installed in that environment. Nota: La compatibilidad con GPU está disponible para Ubuntu y Windows con tarjetas habilitadas para CUDA®. 14. for CUDA Enhanced Compatibility CUDA Toolkit Linux x86_64 Driver Version Windows x86_64 Driver Version CUDA 11. Download CUDA Toolkit 11. 130 RN-06722-001 _v11. 1 and CUDNN 7. 0 , 9. The documentation for nvcc, the CUDA compiler driver. x family of toolkits. 3. 8 and 12. Get the latest feature updates to NVIDIA's compute stack, including compatibility support for NVIDIA Open GPU Kernel Modules and lazy loading support. Jul 15, 2020 · Recently, I installed a ubuntu 20. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Jul 22, 2023 · The CUDA toolkit can be used to build executables that utilize CUDA features, so having the NVIDIA drivers installed is an important step in enabling CUDA support. It seems that it shout be the 6. 2 or 10 for this hardware ? in this link you see more information: Create a VM with attached GPUs | Compute Engine Documentation | Google Cloud Linux instances: R384 branch: NVIDIA 384. Here's the key point: Dec 22, 2023 · The latest currently available driver will work on all the GPUs you mention, and using a “CUDA 12. 8 upgrade package due to backward compatibility in the CUDA driver. 0 are compatible with Pascal as long as they are built to include kernels in either Pascal-native cubin format (see Building Applications with Pascal Support) or PTX format (see Applications Using CUDA Toolkit 7. 2? Feb 22, 2024 · CUDA Driver: 运行CUDA应用程序需要系统至少有一个具有CUDA功能的GPU和与CUDA工具包兼容的驱动程序。每个版本的CUDA工具包都对应一个最低版本的CUDA Driver，也就是说如果你安装的CUDA Driver版本比官方推荐的还低，那么很可能会无法正常运行。 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. For example, the latest driver should work with any older CUDA toolkit. 4 (February 2022), Versioned Online Documentation CUDA Toolkit 11. CUDA applications built using CUDA Toolkit 6. Without firstly installed NVIDIA "cuda toolkit" pytorch installed from pip would not work. CUDA Features Archive. 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. In the future, when more CUDA Toolkit libraries are supported, CuPy will have a lighter maintenance overhead and have fewer wheels to release. version. This is a standard compatibility path in CUDA: newer drivers support older CUDA toolkit versions. Applications Using CUDA Toolkit 6. An NVIDIA card with Cuda compatibility is required as well. 04 on my system. 1 which i cannot find anywhere for download. I attempted to install CUDA 9. With compatibility confirmed, we proceed to install the CUDA toolkit and drivers. EULA. run During installation, we will be prompted to install both the driver The CUDA driver's compatibility package only supports particular drivers. 2 for Linux and Windows operating systems. 04. May 1, 2024 · GPUを利用したディープラーニング環境を構築する際、これまではNvidia DriverやCUDAのバージョンを何となくで選んでいました… そこで、どのようにこれらのバージョンを選定すべきか整理しましたので紹介します。 The CUDA driver's compatibility package only supports particular drivers. 111. CUDA 11. x toolkit, will there be conflicts with the 10. 3 (November 2021), Versioned Online Documentation Aug 29, 2024 · 1. Applications Using CUDA Toolkit 8. 1 and CUDA driver version 390 will Mar 5, 2024 · When I look at at the Get Started guide, it looks like that version of PyTorch only supports CUDA 11. The version of the development NVIDIA GPU Driver packaged in each CUDA Toolkit release is shown below. The first step is downloading the CUDA installer from the NVIDIA Developer website. x are compatible with Turing as long as they are built to include kernels in either Volta-native cubin format (see Compatibility between Volta and Turing) or PTX format (see Applications Using CUDA Toolkit 8. And when it comes to a software stack “needing CUDA Aug 29, 2024 · Release Notes. 0 or higher). 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. 35. 06 CUDA 11. 51. 0 GA >=525. 1 (seen https&hellip; 2. table 1) also. Some of the best practices for using CUDA on Ubuntu are: Keep your system and NVIDIA drivers up to date to ensure the compatibility and stability of the CUDA Toolkit. About. Sep 23, 2020 · For additional insights on CUDA for this these platforms, check out our blogs and on-demand GTC sessions below: NEW Blog – Controlling Data Movement to Boost Performance on the NVIDIA Ampere Architecture – Delivers some specifics on advances in the areas of asynchronous data movement, and a better journey through the memory hierarchy. Version Information. I wonder if there are some driver compatibility problems with CUDA 2. 0, and is cheaper. This driver branch supports CUDA 10. 7であることが分かりました。 Mar 24, 2022 · Release Notes The Release Notes for the CUDA Toolkit. There was no reason to suspect that, but the suspicion grew its roots Download CUDA Toolkit 10. 1, but I do not have the nvidia driver compatible with 9. 5 bash). Aug 29, 2024 · When using CUDA Toolkit 10. By aligning the TensorFlow version, Python version, and CUDA version appropriately, you can optimize your GPU utilization for TensorFlow-based machine learning tasks effectively. 0 beta on the driver 177. 6 Release Notes NVIDIA CUDA Toolkit 11. 2 (February 2022), Versioned Online Documentation CUDA Toolkit 11. You can find it expressed here (e. This is part of the CUDA compatibility model/system. CUDA 10. 05 >=522. Since it was a fresh install I decided to upgrade all the software to the latest version. CUDA Driver. 1 Component Versions ; Component Name. My graphics card is 8800 GTX and I have been using CUDA 2. CUDA applications built using CUDA Toolkit 9. Thus, users should upgrade from all R418, R440, and R460 drivers, which are not forward-compatible with CUDA 11. nvidia. 2 Component Versions ; Component Name. 2). You can use following configurations (This worked for me - as of 9/10). For more information, see CUDA Compatibility and Upgrades. 111 driver or greater R390 branch: Not yet available Apr 16, 2021 · The Release Notes for the CUDA Toolkit. 0 through 11. 98 CUDA 11. CUDA Version Supported CUDA 10. The CUDA WSL-Ubuntu local installer does not contain the NVIDIA Linux GPU driver, so by following the steps on the CUDA download page for WSL-Ubuntu, you will be able to get just the CUDA toolkit installed on WSL. The rationale is that GeForce 950M supports all features till CUDA 5. 1 Update 1 >=450. 6 Update 1 Component Versions ; Component Name. 6 by mistake. This driver branch supports CUDA 11. 0+ This driver branch supports CUDA 11. pip No CUDA. NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers. Dec 11, 2020 · I think 1. so feel free to try both using. 0 or Earlier) or both. x (through CUDA enhanced compatiblity and CUDA CUDA 11. Oct 24, 2022 · なお、CUDAの中には大きく分けてCUDA ToolkitとNVIDIA Driverが存在し、そのNVIDIA Driverの中にGPU Kernel Mode DriverとCUDA User-Mode Driverの2つが存在する。後者が次に説明するNVIDIA Driverのこと。 CUDA Compatibility :: NVIDIA Data Center GPU Driver Documentation より. With the release of CUDA 11, CUDA toolkit and CUDA Driver have different version numbers. 2 to run in an environment that has CUDA 11. sudo apt-get install nvidia-driver-525 (modify the driver name with whatever you see from the output of the ubunt-drivers above) Mar 11, 2021 · Hello, i am looking a lot of hours to find the right version of Cuda driver for my gtx 1050 ti without any success. Apr 2, 2018 · The GeForce GT 730 comes in 2 different flavors, one of which is compute capability 3. Note: The driver and toolkit must be installed for CUDA to function. 1. Mar 7, 2024 · Outdated drivers may cause compatibility issues with the CUDA Toolkit. : Tensorflow-gpu == 1. 1 version, cuDNN will not work with that GPU (it requires 3. CUDA applications built using CUDA Toolkit 11. To check your GPU's compute capability, either: Dec 3, 2008 · Hi. 8 or 12. If there are CUDA drivers for Windows Server 2022 the you are fine. Supported Architectures. 0 with CUDA 12. Applications Using CUDA Toolkit 9. , CUDA Version: 12. ) Jul 5, 2015 · Quite recently I started studying about CUDA GPU programming , and to get hands on, I made up my mind to buy a Asus laptop (Visual Studio, Win 8. – The CUDA driver's compatibility package only supports particular drivers. 02 >=456. 28 (and I also tried 180. 5. 4 continue to work with the CUDA 11. CUDA Toolkit 11. 4 would be the last PyTorch version supporting CUDA9. Aug 29, 2024 · 1. 4 CUDA 11. 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. Download drivers for your GPU at NVIDIA Driver Downloads. 39 CUDA Toolkit Driver Version. 0 . 2\extras\CUPTI\include , C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12. After I updated the device driver to 178. . So, I think that pip version of pytorch doesn't have full cuda toolkit inside itself. The nvidia-smi tool bundled with recent drivers will display the CUDA compatibility version that they have. Feb 1, 2010 · CUDA Driver. Jan 29, 2024 · In this article, you learned how to install the CUDA Toolkit on Ubuntu 22. 0 version. To install PyTorch via pip, and do not have a CUDA-capable system or do not require CUDA, in the above selector, choose OS: Windows, Package: Pip and CUDA: None. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Apr 2, 2023 · † CUDA 11. 1 I am working on NVIDIA V100 and A100 GPUs, and NVIDIA does not supply drivers for those cards that are compatible with either CUDA 11. 60. Introduction 1. 04 with nvidia-driver version 340. 2 installed. To see your graphics driver version, use the gpuDevice function. x86_64, arm64-sbsa, aarch64-jetson Jan 30, 2023 · CUDA Toolkit のバージョン NVIDIA Driver. Oct 6, 2023 · CUDA Toolkit offers varied programming approaches to users with high or low-level APIs; CUDA Libraries enable users to leverage pre-built functions to maximize the result; CUDA Toolkit and Driver Compatibility. CUDA 12. 0 and higher. 0 for Windows and Linux operating systems. 2, CUDA 11. 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. 2” driver e. Jan 17, 2024 · CUDA Version Supported: This shows the version of CUDA compatible with the driver (e. But I have one question, what is the correct Cuda version, 9. Mar 16, 2012 · As Jared mentions in a comment, from the command line: nvcc --version (or /usr/local/cuda/bin/nvcc --version) gives the CUDA compiler version (which matches the toolkit version). GPU, CUDA Toolkit, and CUDA Driver Requirements Jul 17, 2024 · Installing CUDA Toolkit and Drivers. 7 Update 1 >=515. 5, the other is compute capability 2. Sep 2, 2019 · (*) (Note for future readers: this doesn’t necessarily apply to you. Oct 4, 2022 · For example, applications that were previously compiled with CUDA 11. 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 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 (). Howveer I was curious if CUDA Toolkit 7 supports this card. Aug 29, 2024 · Option 1: Installation of Linux x86 CUDA Toolkit using WSL-Ubuntu Package - Recommended. Oct 3, 2022 · Release Notes The Release Notes for the CUDA Toolkit. 03 >=526. 35 driver, and found that there are updates of a driver and CUDA yesterday. The driver version is only half of the compatibility equation. 5 devices; the R495 driver in CUDA 11. 2 for Windows, Linux, and Mac OSX operating systems. 6 | 2 Component Name Version Information Supported Architectures Mar 25, 2015 · ) and an older cuda (say docker run --gpus all --rm -it nvidia/cuda:6. CUDA Features Archive The list of CUDA features by release. If you have not installed a stand-alone driver, install the driver from the NVIDIA CUDA Toolkit. The other half is the Compute Capability. Install the CUDA Software Before installing the toolkit, you should read the Release Notes, as they provide details on installation and software functionality. 1 (November 2021), Versioned Online Documentation CUDA Toolkit 11. 1 (through CUDA forward compatible upgrade). La compatibilidad con GPU de TensorFlow requiere una selección de controladores y bibliotecas. 5 still "supports" cc3. html. This tutorial provides step-by-step instructions on how to verify the installation of CUDA on your system using command-line tools. Table 3. If I install the current v10. Jan 19, 2018 · I’m having trouble installing CUDA for my setup due to a driver compatibility issue with nvidia driver version 384. , one created using the cudaStreamNonBlocking flag of the CUDA Runtime API or the CU_STREAM_NON_BLOCKING flag of the CUDA Driver API). CUDA Developer Tools is a series of tutorial videos designed to get you started using NVIDIA Nsight™ tools for CUDA development. For that, SO expects a minimal reproducible example. Feb 1, 2011 · Table 1 CUDA 12. Dec 12, 2022 · Compile your code one time, and you can dynamically link against libraries, the CUDA runtime, and the user-mode driver from any minor version within the same major version of CUDA Toolkit. Table 1 shows the CUDA user-mode driver (UMD) and CUDA Toolkit version compatibility for the NVIDIA JetPack 5. GPU Requirements Release 21. NVIDIA Driver Sep 9, 2019 · Generally speaking, there is a backwards compatibility strategy for drivers with respect to CUDA toolkits. I tried "nvidia-driver-525", and it works. 0 which resolves an issue in the cuFFT library that can lead to incorrect results for certain inputs sizes less than or equal to 1920 in any dimension when cufftSetStream() is passed a non-blocking stream (e. cuda to check the actual CUDA version PyTorch is using. Users will benefit from a faster CUDA runtime! Jun 21, 2022 · Running (training) legacy machine learning models, especially models written for TensorFlow v1, is not a trivial task mostly due to the version incompatibility issue. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Nov 3, 2022 · もしご自身のブックマークがリンク切れになった場合は「CUDA Toolkit Documentation」をキーワードとして検索してください。 上の図より、ディスプレイドライバ「515. 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. 0 to CUDA 11. 39 (Windows) as indicated, minor version compatibility is possible across the CUDA 11. Verifying Compatibility: Before running your code, use nvcc --version and nvidia-smi (or similar commands depending on your OS) to confirm your GPU driver and CUDA toolkit versions are compatible with the PyTorch installation. com/deploy/cuda-compatibility/index. x >=450. CUDACompatibility,Releaser555 CUDACompatibility CUDACompatibilitydescribestheuseofnewCUDAtoolkitcomponentsonsystemswitholderbase installations. The compatibility and dependencies are very close and is usual to mess things up here. 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. Right at the moment, GTX 1650 is a very new GPU, and so any driver that works with GTX 1650 will work with any currently available CUDA toolkit version. 0 Aug 29, 2024 · 1. 08 supports CUDA compute capability 6. md 2. Overview 1. Oct 3, 2022 · For more information on CUDA compatibility, including CUDA Forward Compatible Upgrade and CUDA Enhanced Compatibility, visit https://docs. 0 was released with an earlier driver version, but by upgrading to Tesla Recommended Drivers 450. 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. Aug 1, 2024 · The following sections highlight the compatibility of NVIDIA cuDNN versions with the various supported NVIDIA CUDA Toolkit, CUDA driver, and NVIDIA hardware versions. 2 or Earlier), or both. Using a compatible minor driver version, applications build on CUDA Toolkit 11 and newer are supported on any driver from within the corresponding major release. CUDA Programming Model . 8 GA >=520. 3 should work just fine with Tensorflow Aug 29, 2024 · The CUDA Toolkit installs the CUDA driver and tools needed to create, build and run a CUDA application as well as libraries, header files, and other resources. CUDA Toolkit のバージョンとドライバのバージョンの互換性は以下にあった。 これをみると上のバージョンの CUDA Toolkit を使うほど、必要なドライバのバージョンも上がっていく傾向にあることがわかる。 Nov 5, 2023 · CUDA is driver dependent, what versions of CUDA are supported, is hardware dependent. Jul 30, 2020 · Yes, when installing pytorch from conda, conda installs own cuda toolkit, but pip doesn't do it. 2. Jul 31, 2024 · The CUDA driver maintains backward compatibility to continue support of applications built on older toolkits. The CUDA driver's compatibility package only supports particular drivers. 6. Generally, backward compatibility is maintained, and the CUDA Toolkit version Nov 2, 2022 · I tried to install the"nvidia-driver-525-open" driver but it wasn't working. Aug 30, 2023 · CUDA 11. 1. Select Linux or Windows operating system and download CUDA Toolkit 11. Thanks! Resources. CUDA driver backward (binary) compatibility is explained visually in the following illustration. 03 supports CUDA compute capability 6. There is a CUDA compatibility version associated with the driver (but there is a 1:1 correspondence between a specific GPU driver version and its associated CUDA compatibility version). Use the CUDA APT PPA to install and update the CUDA Toolkit easily and quickly. Applications Built Using CUDA Toolkit 11. Otherwise, there isn't enough information in this question to diagnose why your application is behaving the way you describe. This doesn’t apply to every GPU and every CUDA version, and may no longer be valid months or years into the future. 76」に対応するCUDA ToolkitのバージョンはCUDA 11. 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. CUDA C++ Core Compute Libraries Resources. CUDA Toolkit and Corresponding Driver Versions Toolkit Driver Version CUDA Toolkit Linux x86_64 Driver Version Windows x86_64 Driver Version CUDA 12. The general flow of the compatibility resolving process is * TensorFlow → Python * TensorFlow → Cudnn/Cuda Often, the latest CUDA version is better. Aug 29, 2024 · Release Notes. 4. 7 . GPU Requirements Release 19. Jul 1, 2024 · Release Notes. CUDA C++ Core Compute Libraries Please Note: There is a recommended patch for CUDA 7. For best performance, the recommended configuration for GPUs Volta or later is cuDNN 9. CUDA Toolkit and Corresponding Driver Versions Toolkit Driver Table 1. 02 >=452. 0 (October 2021), Versioned Online Documentation CUDA Toolkit 11. For GCC and Clang, the preceding table indicates the minimum version and the latest version supported. Jul 27, 2024 · Once installed, use torch. 6 applications can link against the 11. An older driver may not work with a newer CUDA toolkit. Which versions of the NVIDIA CUDA Toolkit (CTK) are compatible with each other? What do developers need to consider when writing their applications? How ofte Download CUDA Toolkit 11. 60 available in the CUDA Resources. With CUDA Aug 29, 2024 · NVIDIA CUDA Compiler Driver NVCC. Supported Platforms. 0 or later toolkit. x, to ensure that nvcc will generate cubin files for all recent GPU architectures as well as a PTX version for forward compatibility with future GPU architectures, specify the appropriate -gencode= parameters on the nvcc command line as shown in the examples below. then added the 2 folders to the path: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12. Thrust. The Release Notes for the CUDA Toolkit. Table 1. CUDA applications built using CUDA Toolkit 8. It explores key features for CUDA profiling, debugging, and optimizing. x, but I’ve had problems with the corresponding version of the toolkit. 4: Adjust Batch Size and Input Resolution: If encountering out-of-memory errors, consider reducing the batch size or input resolution during YOLOv8 inference. 3. Here, each of the N threads that execute VecAdd() performs one pair-wise addition. 05 version and CUDA 11. Running a CUDA application requires the system with at least one CUDA capable GPU and a driver that is compatible with the CUDA Toolkit. 38 The version of the development NVIDIA GPU Driver packaged in each CUDA Toolkit release is shown below. The list of CUDA features by release. Why is it important to keep my NVIDIA drivers up-to-date for CUDA support? May 21, 2024 · Nvidia driver and CUDA version compatibility chart - nvidia_driver_cuda_version_compatibility_chart. Nov 21, 2018 · Hi, I working using Google Cloud Instance with GPU K80 and Ubuntu 16. This post will show the compatibility table with references to official pages. x driver? Jul 31, 2018 · I had installed CUDA 10. 1 Are these really the only versions of CUDA that work with PyTorch 2. 5 installer does not. x . 2\extras\CUPTI\lib64 . For a complete list of supported drivers, see the CUDA Application Compatibility topic. 0 and CUDA 11. 0 or Later . CUDA Minor Version Compatibility* CUDA Toolkit Linux x86_64 Driver Version Windows x86_64 Driver Version CUDA 11. 8. 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 Additionally, verifying the CUDA version compatibility with the selected TensorFlow version is crucial for leveraging GPU acceleration effectively. iebghbu tkvi yippdkbi yxuvrhec ktho mzqibm lfym cind mtowuxo tkpbt