Download nvidia cuda toolkit 11 2 1 for windows 10

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NVIDIA CUDA Toolkit 12.0.1 (for Windows 11) Date released: (one year ago) Download. NVIDIA CUDA Toolkit 12.0.0 (for Windows 11) Date released: (2 years ago) Download. NVIDIA CUDA Toolkit 11.8.0 (for Windows 11) Date released: (2 years ago) Download.

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How to Install NVIDIA CUDA Toolkit on Windows 10/11

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)

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Downloading NVIDIA CUDA Toolkit 12.4.0 (for Windows 11

]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 .

NVIDIA CUDA Toolkit 12.5.0 (for Windows 11) Download for

]cuda-nsight-systems-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-nsight-systems-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-nvcc-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvcc-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvcc-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvcc-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-nvcc-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-nvcc-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvcc-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-nvcc-11-4 11.4.152-1 [NVIDIA CUDA/ ]cuda-nvcc-11-5 11.5.119-1 [NVIDIA CUDA/ ]cuda-nvcc-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nvcc-11-7 11.7.99-1 [NVIDIA CUDA/ ]cuda-nvdisasm-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvdisasm-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvdisasm-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvdisasm-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-nvdisasm-11-1 11.1.74-1 [NVIDIA CUDA/ ]cuda-nvdisasm-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvdisasm-11-3 11.3.58-1 [NVIDIA CUDA/ ]cuda-nvdisasm-11-4 11.4.152-1 [NVIDIA CUDA/ ]cuda-nvdisasm-11-5 11.5.119-1 [NVIDIA CUDA/ ]cuda-nvdisasm-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nvdisasm-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-nvgraph-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvgraph-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvgraph-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvgraph-dev-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvgraph-dev-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvgraph-dev-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvjpeg-10-0 10.0.130.1-1 [NVIDIA CUDA/ ]cuda-nvjpeg-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvjpeg-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvjpeg-dev-10-0 10.0.130.1-1 [NVIDIA CUDA/ ]cuda-nvjpeg-dev-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvjpeg-dev-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvml-dev-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvml-dev-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvml-dev-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvml-dev-11-0 11.0.167-1 [NVIDIA CUDA/ ]cuda-nvml-dev-11-1 11.1.74-1 [NVIDIA CUDA/ ]cuda-nvml-dev-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvml-dev-11-3 11.3.58-1 [NVIDIA CUDA/ ]cuda-nvml-dev-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-nvml-dev-11-5 11.5.50-1 [NVIDIA CUDA/ ]cuda-nvml-dev-11-6 11.6.55-1 [NVIDIA CUDA/ ]cuda-nvml-dev-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-nvprof-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvprof-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvprof-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvprof-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-nvprof-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-nvprof-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvprof-11-3 11.3.111-1 [NVIDIA CUDA/ ]cuda-nvprof-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-nvprof-11-5 11.5.114-1 [NVIDIA CUDA/ ]cuda-nvprof-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nvprof-11-7 11.7.101-1 [NVIDIA CUDA/ ]cuda-nvprune-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvprune-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvprune-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvprune-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-nvprune-11-1 11.1.74-1 [NVIDIA CUDA/ ]cuda-nvprune-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvprune-11-3 11.3.58-1 [NVIDIA CUDA/ ]cuda-nvprune-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-nvprune-11-5 11.5.119-1 [NVIDIA CUDA/ ]cuda-nvprune-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nvprune-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-nvrtc-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvrtc-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvrtc-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvrtc-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-nvrtc-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-nvrtc-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvrtc-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-nvrtc-11-4 11.4.152-1 [NVIDIA CUDA/ ]cuda-nvrtc-11-5 11.5.119-1 [NVIDIA CUDA/ ]cuda-nvrtc-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nvrtc-11-7 11.7.99-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-11-4 11.4.152-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-11-5 11.5.119-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nvrtc-dev-11-7 11.7.99-1 [NVIDIA CUDA/ ]cuda-nvtx-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvtx-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvtx-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvtx-11-0 11.0.167-1 [NVIDIA CUDA/ ]cuda-nvtx-11-1 11.1.74-1 [NVIDIA CUDA/ ]cuda-nvtx-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvtx-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-nvtx-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-nvtx-11-5 11.5.114-1 [NVIDIA CUDA/ ]cuda-nvtx-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nvtx-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-nvvp-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nvvp-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nvvp-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nvvp-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-nvvp-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-nvvp-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nvvp-11-3 11.3.111-1 [NVIDIA CUDA/ ]cuda-nvvp-11-4 11.4.193-1 [NVIDIA CUDA/ ]cuda-nvvp-11-5 11.5.126-1 [NVIDIA CUDA/ ]cuda-nvvp-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nvvp-11-7 11.7.101-1 [NVIDIA CUDA/ ]cuda-repo-ubuntu1804 10.2.89-1 [NVIDIA CUDA/ ]└── cuda repository configuration filescuda-runtime-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-runtime-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-runtime-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-runtime-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-runtime-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-runtime-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-runtime-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-runtime-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-runtime-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-runtime-11-6 11.6.2-1 [NVIDIA CUDA/. NVIDIA CUDA Toolkit 12.0.1 (for Windows 11) Date released: (one year ago) Download. NVIDIA CUDA Toolkit 12.0.0 (for Windows 11) Date released: (2 years ago) Download. NVIDIA CUDA Toolkit 11.8.0 (for Windows 11) Date released: (2 years ago) Download. Free Download. Security Status. Review; Old Versions; Download. NVIDIA CUDA Toolkit 12.5.0 (for Windows 11) Date released: (2 months ago) NVIDIA CUDA Toolkit 11.8.0 (for Windows 10) Date released: (one year ago) Download. NVIDIA CUDA Toolkit 11.7.0 (for Windows 10) Date released: (2 years ago)

NVIDIA CUDA Toolkit 12.4.0 (for Windows 11) Download for

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

NVIDIA CUDA Toolkit 12.6.0 (for Windows 11) Download for

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

NVIDIA CUDA Toolkit 12.8.0 (for Windows 11) Download for

[NVIDIA CUDA/ ]cuda-gdb-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-gdb-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-gdb-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-gdb-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-gdb-11-5 11.5.114-1 [NVIDIA CUDA/ ]cuda-gdb-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-gdb-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-gdb-src-10-0 10.0.130-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-10-1 10.1.243-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-10-2 10.2.89-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-11-0 11.0.221-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-11-1 11.1.105-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-11-2 11.2.152-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-11-3 11.3.109-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-11-4 11.4.120-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-11-5 11.5.114-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-11-6 11.6.124-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gdb-src-11-7 11.7.91-1 [NVIDIA CUDA/ ]└── Contains the source code for cuda-gdbcuda-gpu-library-advisor-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-gpu-library-advisor-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-keyring 1.0-1 [NVIDIA CUDA/ ]cuda-libraries-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-libraries-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-libraries-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-libraries-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-libraries-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-libraries-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-libraries-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-libraries-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-libraries-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-libraries-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-libraries-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-libraries-dev-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-libraries-dev-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-libraries-dev-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-libraries-dev-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-libraries-dev-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-libraries-dev-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-libraries-dev-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-libraries-dev-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-libraries-dev-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-libraries-dev-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-libraries-dev-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-license-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-license-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-license-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-memcheck-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-memcheck-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-memcheck-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-memcheck-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-memcheck-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-memcheck-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-memcheck-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-memcheck-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-memcheck-11-5 11.5.114-1 [NVIDIA CUDA/ ]cuda-memcheck-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-memcheck-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-minimal-build-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-minimal-build-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-minimal-build-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-minimal-build-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-minimal-build-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-minimal-build-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-minimal-build-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-minimal-build-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-minimal-build-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-minimal-build-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-minimal-build-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-misc-headers-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-misc-headers-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-misc-headers-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-npp-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-npp-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-npp-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-npp-dev-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-npp-dev-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-npp-dev-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nsight-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nsight-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nsight-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nsight-11-0 11.0.221-1 [NVIDIA CUDA/ ]cuda-nsight-11-1 11.1.105-1 [NVIDIA CUDA/ ]cuda-nsight-11-2 11.2.152-1 [NVIDIA CUDA/ ]cuda-nsight-11-3 11.3.109-1 [NVIDIA CUDA/ ]cuda-nsight-11-4 11.4.120-1 [NVIDIA CUDA/ ]cuda-nsight-11-5 11.5.114-1 [NVIDIA CUDA/ ]cuda-nsight-11-6 11.6.124-1 [NVIDIA CUDA/ ]cuda-nsight-11-7 11.7.91-1 [NVIDIA CUDA/ ]cuda-nsight-compute--10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nsight-compute-10-0 10.0.130-1 [NVIDIA CUDA/ ]cuda-nsight-compute-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nsight-compute-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nsight-compute-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-nsight-compute-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-nsight-compute-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-nsight-compute-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-nsight-compute-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-nsight-compute-11-5 11.5.2-1 [NVIDIA CUDA/ ]cuda-nsight-compute-11-6 11.6.2-1 [NVIDIA CUDA/ ]cuda-nsight-compute-11-7 11.7.1-1 [NVIDIA CUDA/ ]cuda-nsight-systems-10-1 10.1.243-1 [NVIDIA CUDA/ ]cuda-nsight-systems-10-2 10.2.89-1 [NVIDIA CUDA/ ]cuda-nsight-systems-11-0 11.0.3-1 [NVIDIA CUDA/ ]cuda-nsight-systems-11-1 11.1.1-1 [NVIDIA CUDA/ ]cuda-nsight-systems-11-2 11.2.2-1 [NVIDIA CUDA/ ]cuda-nsight-systems-11-3 11.3.1-1 [NVIDIA CUDA/ ]cuda-nsight-systems-11-4 11.4.4-1 [NVIDIA CUDA/ ]cuda-nsight-systems-11-5 11.5.2-1 [NVIDIA CUDA/. NVIDIA CUDA Toolkit 12.0.1 (for Windows 11) Date released: (one year ago) Download. NVIDIA CUDA Toolkit 12.0.0 (for Windows 11) Date released: (2 years ago) Download. NVIDIA CUDA Toolkit 11.8.0 (for Windows 11) Date released: (2 years ago) Download. Free Download. Security Status. Review; Old Versions; Download. NVIDIA CUDA Toolkit 12.5.0 (for Windows 11) Date released: (2 months ago) NVIDIA CUDA Toolkit 11.8.0 (for Windows 10) Date released: (one year ago) Download. NVIDIA CUDA Toolkit 11.7.0 (for Windows 10) Date released: (2 years ago)

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User7619

2025-04-18

User6007

2025-04-01

User5256

2025-04-11

User5519

2025-04-18

User5914

Access to resources, please visit the main Nsight™ Compute page.NVIDIA® Nsight™ Compute 2023.1 is available for download under the NVIDIA Registered Developer Program. Download 2023.1.2 Download 2023.1.1 Download 2023.1.0 Documentation PRODUCT INFO Supported Platforms Windows Linux Mac DRIVE OS Host Windows x86_64[1] Linux x86_64[1] Linux aarch64 sbsa[1] Linux aarch64 (L4T)[2] MacOS[1] - Target Windows x86_64[1] Linux x86_64[1] Linux PowerPC[1] Linux aarch64 sbsa[1] Linux aarch64 (L4T)[2] - DRIVE OS QNX aarch64[2][3] DRIVE OS Linux aarch64[2][3] Host platforms support the Nsight Compute UI for viewing reports, interactive profiling and remote connections. Applications are profiled on target platforms, which also support the Nsight Compute command line interface. Supported NVIDIA GPU architectures Ada: AD10x Ampere: A100 with Multi-Instance GPU, GA10x Hopper: H100 with Multi-Instance GPU Turing: TU1xx Volta: GV100[1], GV10B[2] [1] available in this download and the CUDA Desktop Toolkit [2] available in the Embedded or Drive toolkits only [3] Only the command line interface (CLI) is provided for these platforms. There is no Nsight Compute GUI application for these platforms Recommended Drivers NVIDIA Windows Driver - 531.14 or newer NVIDIA Linux Driver Linux - 530.30.02 or newer We recommend using drivers provided with the most recent CUDA Toolkit production release or a newer version. Older driver versions are also supported. References Overview (features) Getting Started (download, platforms, requirements) Documentation Downloads Revision History Videos News & Blogs Nsight Compute forum

2025-03-31

User4358

C:\ drive unless made visible by you through folder options and show hidden files/folders (you can also see the folder in a command console). That is an important note because the CUDA SDK downloads all sample programs in that folder. Cuda 8 also install the GeForce driver version 369.30, which is not the latest version!The latest version is 375.95, so to download that driver, you need to get it from Note that if you are happy with the resolution of your computer, you may want to download the driver package, but not upgrade your current display driver (I upgraded mine, which demoted the factory resolution on my ASUS ROG, bad for gaming, but good for readability and Machine Learning).Now, let's do some testing: Open C:\ProgramData\NVIDIA Corporation\CUDA Samples\v8.0\0_Simple\matrixMul_vs2015.sln in Visual Studio 2015. Compile in debug mode, go to a command line at C:\ProgramData\NVIDIA Corporation\CUDA Samples\v8.0\bin\win64\Debug and run matrixMul.exeYou should pass the test.Now, note that cuDNN has specific installation instructions per platform. For Windows, it says you need to add the cuDNN install path to your PATH envionment variable, and various other mods to your Visual Studio projects for Include and Library folders. Make a note of these ( Since we're focusing on Theano, it is simpler to actually take the cuDNN binaries and copy them over to the CUDA SDK folders: Copy cudnn64_5.dll to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin Copy cudnn.h to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include Copy cudnn.lib to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\lib\x64Next, we need to install the Windows 10 SDK from There must be a reason why that download does not ship with Windows by default nor installs with Visual Studio. Maybe someone can tell me.Next we install the Microsoft Visual C++ Compiler for Python 2.7. Yup, 2.7, even though we are going to use Python 3.4 on Theano. That is because they are used in different layers in the Theano-to-GPU toolchain. Download from now now we are finally ready to modify the Nvidia CUDA profile at C:\Program Files\NVIDIA GPU Computing Toolkit\v8.0\bin\nvcc.profile. This is the new content, specialized for Windows 10, CUDA 8, and Visual Studio 2015:TOP = $(_HERE_)/..NVVMIR_LIBRARY_DIR = $(TOP)/nvvm/libdevicePATH += $(TOP)/open64/bin;$(TOP)/nvvm/bin;$(_HERE_);$(TOP)/lib;INCLUDES += "-I$(TOP)/include" "-I$(TOP)/include/cudart" "-IC:/Program Files (x86)/Microsoft Visual Studio 12.0/VC/include" "-IC:\Program Files (x86)\Microsoft SDKs\Windows\v7.1A\Include" $(_SPACE_)LIBRARIES =+ $(_SPACE_) "/LIBPATH:$(TOP)/lib/$(_WIN_PLATFORM_)" "/LIBPATH:C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64" "/LIBPATH:C:/Program Files (x86)/Common Files/Microsoft/Visual C++ for Python/9.0/VC/lib/amd64" "/LIBPATH:C:\Program Files (x86)\Microsoft SDKs\Windows\v7.1A\Lib\x64"CUDAFE_FLAGS +=PTXAS_FLAGS += And with that, we should be done with Visual Studio, CUDA, cuDNN, and GPU setup (we should, but we'll find out soon enough not..). Onto Theano for now.Setting up TheanoTheano is one of the great Machine Learning frameworks, together with Facebooks' Torch, Google's TensorFlow, U Berkeley's Caffe, and Microsoft's CNTK. Keras is an awesome deep learning framework, too, but it's more of a wrapper over Theano, simplifying Theano neural network programming for us. Theano is brought to us by Yoshua Bengio and his ML group at Universite de Montreal ( Why Canada? Because their equivalent of our National Science Foundation was more forward thinking than our NSF as it extended

2025-04-14