Nvidia cuda toolkit 12 0 1 for windows 10

]cuda-runtime-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-samples-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-samples-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-samples-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-samples-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-samples-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-samples-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-samples-11-3 11.3.58-1 [NVIDIA CUDA/ ]cuda-samples-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-samples-11-5 11.5.56-1 [NVIDIA CUDA/ ]cuda-samples-11-6 11.6.101-1 [NVIDIA CUDA/ ]cuda-sanitizer-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-sanitizer-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-sanitizer-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-sanitizer-11-3 11.3.111-1 [NVIDIA CUDA/ ]cuda-sanitizer-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-sanitizer-11-5 11.5.114-1 [NVIDIA CUDA/ ]cuda-sanitizer-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-sanitizer-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-sanitizer-api-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-sanitizer-api-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-thrust-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-toolkit-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-toolkit-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-toolkit-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-toolkit-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-toolkit-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-toolkit-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-toolkit-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-toolkit-11-3-config-common 11.3.109-1 [NVIDIA CUDA/ ]cuda-toolkit-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-toolkit-11-4-config-common 11.4.148-1 [NVIDIA CUDA/ ]cuda-toolkit-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-toolkit-11-5-config-common 11.5.117-1 [NVIDIA CUDA/ ]cuda-toolkit-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-toolkit-11-6-config-common 11.6.55-1 [NVIDIA CUDA/ ]cuda-toolkit-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-toolkit-11-7-config-common 11.7.99-1 [NVIDIA CUDA/ ]cuda-toolkit-11-config-common 11.7.99-1 [NVIDIA CUDA/ ]cuda-toolkit-config-common 11.7.99-1 [NVIDIA CUDA/ ]cuda-tools-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-tools-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-tools-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-tools-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-tools-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-tools-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-tools-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-tools-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-tools-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-tools-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-tools-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-visual-tools-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-visual-tools-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-visual-tools-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-visual-tools-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-visual-tools-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-visual-tools-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-visual-tools-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-visual-tools-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-visual-tools-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-visual-tools-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-visual-tools-11-7 11.7.1-1 [NVIDIA CUDA/ ]graphsurgeon-tf 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libcuda1-340 340.108-0ubuntu8 [Ubuntu/jammy multiverse]libcuda1-384 418.226.00-0ubuntu1 [NVIDIA CUDA/ ]libcudart11.0 11.5.117~11.5.1-1ubuntu1 [Ubuntu/jammy multiverse]libcudnn8 8.5.0.96-1+cuda11.7 [NVIDIA CUDA/ ]libcudnn8-dev 8.5.0.96-1+cuda11.7 [NVIDIA CUDA/ ]libnccl-dev 2.14.3-1+cuda11.7 [NVIDIA CUDA/ ]libnccl2 2.14.3-1+cuda11.7 [NVIDIA CUDA/ ]libnvinfer-bin 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvinfer-dev 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvinfer-plugin-dev 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvinfer-plugin8 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvinfer-samples 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvinfer8 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvonnxparsers-dev 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvonnxparsers8 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvparsers-dev 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]libnvparsers8 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]nvidia-cuda-dev 11.5.1-1ubuntu1 [Ubuntu/jammy multiverse]nvidia-cuda-gdb 11.5.114~11.5.1-1ubuntu1 [Ubuntu/jammy multiverse]nvidia-cuda-toolkit 11.5.1-1ubuntu1 [Ubuntu/jammy multiverse]nvidia-cuda-toolkit-doc 11.5.1-1ubuntu1 [Ubuntu/jammy multiverse]nvidia-cuda-toolkit-gcc 11.5.1-1ubuntu1 [Ubuntu/jammy multiverse]nvidia-cudnn 8.2.4.15~cuda11.4 [Ubuntu/jammy multiverse]onnx-graphsurgeon 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]python-pycuda-doc 2021.1~dfsg-2build2 [Ubuntu/jammy multiverse]python3-libnvinfer 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]python3-libnvinfer-dev 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]python3-pycuda 2021.1~dfsg-2build2 [Ubuntu/jammy multiverse]python3-pyhst2-cuda 2020c-5build1 [Ubuntu/jammy multiverse]relion-cuda 3.1.0-2 [Ubuntu/jammy multiverse]relion-gui-cuda 3.1.0-2 [Ubuntu/jammy multiverse]tensorrt 8.4.3.1-1+cuda11.6 [NVIDIA CUDA/ ]tensorrt-dev 8.4.3.1-1+cuda11.6 [NVIDIA CUDA/ ]tensorrt-libs 8.4.3.1-1+cuda11.6 [NVIDIA CUDA/ ]uff-converter-tf 8.4.3-1+cuda11.6 [NVIDIA CUDA/ ]Seems versions match up, 11.7Would love some help! Did you got any help , I am facing the same issue .

Powerful and reliable programming model and computing toolkit Home Developer Tools NVIDIA CUDA Toolkit 12.8.0 (for Windows 11) Old Versions Browse by CompanyAdobe, Apowersoft, Ashampoo, Autodesk, Avast, Corel, Cyberlink, Google, iMyFone, iTop, Movavi, PassFab, Passper, Stardock, Tenorshare, Wargaming, Wondershare Sponsored January, 24th 2025 - 3.2 GB - Freeware Review Change Log Old Versions NVIDIA CUDA Toolkit 12.8.0 (for Windows 11) Date released: 24 Jan 2025 (one month ago) NVIDIA CUDA Toolkit 12.8.0 (for Windows 10) Date released: 24 Jan 2025 (one month ago) NVIDIA CUDA Toolkit 12.6.0 (for Windows 11) Date released: 02 Aug 2024 (8 months ago) NVIDIA CUDA Toolkit 12.5.0 (for Windows 11) Date released: 22 May 2024 (10 months ago) NVIDIA CUDA Toolkit 12.4.0 (for Windows 11) Date released: 06 Mar 2024 (one year ago) NVIDIA CUDA Toolkit 12.3.0 (for Windows 11) Date released: 20 Oct 2023 (one year ago) NVIDIA CUDA Toolkit 12.2.0 (for Windows 11) Date released: 29 Jun 2023 (one year ago) NVIDIA CUDA Toolkit 12.0.1 (for Windows 11) Date released: 01 Mar 2023 (2 years ago) NVIDIA CUDA Toolkit 12.0.0 (for Windows 11) Date released: 09 Dec 2022 (2 years ago) NVIDIA CUDA Toolkit 11.8.0 (for Windows 11) Date released: 04 Oct 2022 (2 years ago) NVIDIA CUDA Toolkit 11.7.0 (for Windows 11) Date released: 12 May 2022 (3 years ago) NVIDIA CUDA Toolkit 11.6.1 (for Windows 11) Date released: 11 Mar 2022 (3 years ago) NVIDIA CUDA Toolkit 11.6.0 (for Windows 11) Date released: 13 Jan 2022 (3 years ago) NVIDIA CUDA Toolkit 12.2.0 (for Windows 10) Date released: 29 Jun 2023 (one year ago) NVIDIA CUDA Toolkit 12.0.1 (for Windows 10) Date released: 01 Mar 2023 (2 years ago) NVIDIA CUDA Toolkit 12.0.0 (for Windows 10) Date released: 09 Dec 2022 (2 years ago) NVIDIA CUDA Toolkit 11.8.0 (for Windows 10)

Skip to content Navigation Menu GitHub Copilot Write better code with AI Security Find and fix vulnerabilities Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Discussions Collaborate outside of code Code Search Find more, search less Explore Learning Pathways Events & Webinars Ebooks & Whitepapers Customer Stories Partners Executive Insights GitHub Sponsors Fund open source developers The ReadME Project GitHub community articles Enterprise platform AI-powered developer platform Pricing Provide feedback Saved searches Use saved searches to filter your results more quickly //voltron/issues_fragments/issue_layout;ref_cta:Sign up;ref_loc:header logged out"}"> Sign up Notifications You must be signed in to change notification settings Fork 4k Star 38.7k DescriptionDescriptionI am trying to use whisper-cli.exe with CUDA support on Windows to leverage my NVIDIA GeForce RTX 2050 GPU, but the application is not utilizing CUDA (showing CUBLAS = 0 in system_info). Despite following the instructions in the README and making the suggested changes, the program continues to run on the CPU instead of the GPU.Steps to ReproduceInstalled CUDA Toolkit 12.8 from and NVIDIA driver version 571.96 (confirmed via nvidia-smi).Cloned the whisper.cpp repository (version 1.7.4) and navigated to the directory:cd C:\Users\carwy\Downloads\Compressed\whisper.cpp-1.7.4\whisper.cpp-1.7.4Built the project with CUDA support:cmake -B build -DGGML_CUDA=1 -DCMAKE_BUILD_TYPE=Release -DCMAKE_CUDA_ARCHITECTURES=native -DCUDAToolkit_ROOT="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.8"cmake --build build --config Release --verboseEnsured all necessary DLLs (ggml-cuda.dll, cudart64_12.dll, cublas64_12.dll) are in build\bin\Release.Modified src/CMakeLists.txt to include:if (GGML_CUDA)target_link_libraries(whisper PRIVATE ggml-cuda)endif()Ran the following command:.\whisper-cli.exe -m "C:\Users\carwy\Desktop\SubtitleApp\SubtitleApp Backupw\SubtitleApp\CoreAssets\Window\ggml-large-v3-turbo-q8_0.bin" -f "C:\Users\carwy\Downloads\Thoi gian troi qua that nhanh.wav"Expected Behaviorsystem_info in the output should show CUBLAS = 1, indicating CUDA is being used.GPU usage should increase (visible in nvidia-smi), and processing times (whisper_print_timings) should be significantly faster on the NVIDIA GeForce RTX 2050.Actual Behaviorsystem_info shows CUBLAS = 0:system_info: n_threads = 4 / 12 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | COREML = 0 | OPENVINO = 0 |nvidia-smi shows 0% GPU utilization and 0MiB memory usage during

October 3, 2022, 3:33pm 1 Hello :)I’m facing the above error when trying to run deviceQuery. (I’m attempting to enable GPU acceleration on WSL2).All relevant info:./deviceQuery./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking)cudaGetDeviceCount returned 35-> CUDA driver version is insufficient for CUDA runtime versionResult = FAILnvidia-smi.exe+-----------------------------------------------------------------------------+| NVIDIA-SMI 517.40 Driver Version: 517.40 CUDA Version: 11.7 ||-------------------------------+----------------------+----------------------+| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC || Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. || | | MIG M. ||===============================+======================+======================|| 0 NVIDIA GeForce ... WDDM | 00000000:01:00.0 On | N/A || 0% 49C P8 N/A / 72W | 221MiB / 4096MiB | 24% Default || | | N/A |+-------------------------------+----------------------+----------------------++-----------------------------------------------------------------------------+| Processes: || GPU GI CI PID Type Process name GPU Memory || ID ID Usage ||=============================================================================|| 0 N/A N/A 2556 C+G ...wekyb3d8bbwe\Video.UI.exe N/A || 0 N/A N/A 7720 C+G C:\Windows\explorer.exe N/A || 0 N/A N/A 8172 C+G ...5n1h2txyewy\SearchApp.exe N/A || 0 N/A N/A 8640 C+G ...y\ShellExperienceHost.exe N/A || 0 N/A N/A 9888 C+G ...2txyewy\TextInputHost.exe N/A || 0 N/A N/A 11584 C+G ...)\Surfshark\Surfshark.exe N/A || 0 N/A N/A 13380 C+G ...perience\NVIDIA Share.exe N/A || 0 N/A N/A 15724 C+G ...bbwe\Microsoft.Photos.exe N/A |+-----------------------------------------------------------------------------+wslfetchWindows Subsystem for Linux (WSL2)Build: 19043Branch: vb_releaseRelease: Ubuntu 22.04.1 LTSKernel: Linux 5.10.102.1-microsoft-standard-WSL2apt list | grep cudabart-cuda 0.7.00-5 [Ubuntu/jammy multiverse]boinc-client-nvidia-cuda 7.18.1+dfsg-4 [Ubuntu/jammy universe]cuda 11.7.1-1 [NVIDIA CUDA/ ]cuda-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-cccl-11-4 11.4.122-1 [NVIDIA CUDA/ ]cuda-cccl-11-5 11.5.62-1 [NVIDIA CUDA/ ]cuda-cccl-11-6 11.6.55-1 [NVIDIA CUDA/ ]cuda-cccl-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-command-line-tools-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-command-line-tools-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-command-line-tools-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-command-line-tools-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-command-line-tools-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-command-line-tools-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-command-line-tools-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-command-line-tools-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-command-line-tools-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-command-line-tools-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-command-line-tools-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-compat-10-0 410.129-1 [NVIDIA CUDA/ ]cuda-compat-10-1 418.226.00-1 [NVIDIA CUDA/ ]cuda-compat-10-2 440.118.02-1 [NVIDIA CUDA/ ]cuda-compat-11-0 450.203.03-1 [NVIDIA CUDA/ ]cuda-compat-11-1 455.45.01-1 [NVIDIA CUDA/ ]cuda-compat-11-2 460.106.00-1 [NVIDIA CUDA/ ]cuda-compat-11-3 465.19.01-1 [NVIDIA CUDA/ ]cuda-compat-11-4 470.141.03-1 [NVIDIA CUDA/ ]cuda-compat-11-5 495.29.05-1 [NVIDIA CUDA/ ]cuda-compat-11-6 510.85.02-1 [NVIDIA CUDA/ ]cuda-compat-11-7 515.65.01-1 [NVIDIA CUDA/ ]cuda-compiler-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-compiler-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-compiler-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-compiler-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-compiler-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-compiler-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-compiler-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-compiler-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-compiler-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-compiler-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-compiler-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-core-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-core-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-core-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-cross-qnx 10.0.130-1 [NVIDIA CUDA/ ]cuda-cross-qnx-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-cublas-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-cublas-dev-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-cudart-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-cudart-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-cudart-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-cudart-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-cudart-11-1 11.1.74-1 [NVIDIA CUDA/ ]cuda-cudart-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-cudart-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-cudart-11-4 11.4.148-1 [NVIDIA CUDA/ ]cuda-cudart-11-5 11.5.117-1 [NVIDIA CUDA/ ]cuda-cudart-11-6 11.6.55-1 [NVIDIA CUDA/ ]cuda-cudart-11-7 11.7.99-1 [NVIDIA CUDA/ ]cuda-cudart-dev-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-cudart-dev-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-cudart-dev-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-cudart-dev-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-cudart-dev-11-1 11.1.74-1

ToolchainNVIDIA CUDA Toolkit (available at Microsoft Windows® operating systems:Microsoft Windows 11 21H2 (SV1)Microsoft Windows 11 22H2 (SV2)Microsoft Windows 11 23H2Microsoft Windows 10 22H2Microsoft Windows Server 2022Table 1 Windows Compiler Support in CUDA 12.6 Update 3Compiler*IDENative x86_64Cross-compilation (32-bit on 64-bit)C++ DialectMSVC Version 193xVisual Studio 2022 17.xYESNot supportedC++14 (default), C++17, C++20MSVC Version 192xVisual Studio 2019 16.xYESC++14 (default), C++17MSVC Version 191xVisual Studio 2017 15.x (RTW and all updates)YESC++14 (default), C++17* Support for Visual Studio 2015 is deprecated in release 11.1; support for Visual Studio 2017 is deprecated in release 12.5.32-bit compilation native and cross-compilation is removed from CUDA 12.0 and later Toolkit. Use the CUDA Toolkit from earlier releases for 32-bit compilation. CUDA Driver will continue to support running 32-bit application binaries on GeForce GPUs until Ada. Ada will be the last architecture with driver support for 32-bit applications. Hopper does not support 32-bit applications.Support for running x86 32-bit applications on x86_64 Windows is limited to use with:CUDA DriverCUDA Runtime (cudart)CUDA Math Library (math.h)1.2. About This DocumentThis document is intended for readers familiar with Microsoft Windows operating systems and the Microsoft Visual Studio environment. You do not need previous experience with CUDA or experience with parallel computation.2. Installing CUDA Development ToolsBasic instructions can be found in the Quick Start Guide. Read on for more detailed instructions.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.Download the NVIDIA CUDA Toolkit.Install the NVIDIA CUDA Toolkit.Test that the installed

Of Rocky can be discovered by choosing Help → About in the application menus.Install CUDA toolkit 11.7.0 for Windows 10. Set the environment variable CUDA_PATH_V11_7 with the location of the CUDA toolkit. Example: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7. Ensure that the Visual Studio Integration is enabled during the installation of the CUDA Toolkit.After installing the CUDA Toolkit, copy the contents of the MSBuildExtensions directory from the CUDA Toolkit installation to the BuildCustomizations directory in your Microsoft Visual Studio installation. This can be done by opening a PowerShell window and running the following command: cp "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\extras\visual_studio_integration\MSBuildExtensions\*" "C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\MSBuild\Microsoft\VC\v170\BuildCustomizations" -r -forceBuild tools - WindowsInstall Visual Studio Build Tools 2022, version 17.6.17.You can obtain the URL for this specific version by clicking the "Build Tools" link in the corresponding row of the Fixed Version Bootstrappers table at the following link: sure to install the Desktop development with C++ workload with at least the following components:VC++ 2022 version latest toolsWindows 10 SDKVisual C++ tools for CMake