Cuda toolkit download

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If the command is not recognized, download and install the CUDA Toolkit from CUDA Toolkit Downloads. Install the CUDA Toolkit: To install the CUDA Toolkit: Visit the CUDA Toolkit Download Page. Select the appropriate version (e.g, CUDA 12.0) for your system. The NVIDIA CUDA Toolkit is available at Choose the platform you are using and download the NVIDIA CUDA Toolkit. The CUDA Toolkit

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Software runs correctly and communicates with the hardware.2.1. Verify You Have a CUDA-Capable GPUYou can verify that you have a CUDA-capable GPU through the Display Adapters section in the Windows Device Manager. Here you will find the vendor name and model of your graphics card(s). If you have an NVIDIA card that is listed in that GPU is CUDA-capable. The Release Notes for the CUDA Toolkit also contain a list of supported products.The Windows Device Manager can be opened via the following steps:Open a run window from the Start MenuRun:control /name Microsoft.DeviceManager2.2. Download the NVIDIA CUDA ToolkitThe NVIDIA CUDA Toolkit is available at Choose the platform you are using and one of the following installer formats:Network Installer: A minimal installer which later downloads packages required for installation. Only the packages selected during the selection phase of the installer are downloaded. This installer is useful for users who want to minimize download time.Full Installer: An installer which contains all the components of the CUDA Toolkit and does not require any further download. This installer is useful for systems which lack network access and for enterprise deployment.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.Download VerificationThe download can be verified by comparing the MD5 checksum posted at with that of the downloaded file. If either of the checksums differ, the downloaded file is corrupt and needs to be downloaded again.2.3. Install the CUDA SoftwareBefore

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10.2 (Nov 2019), Versioned Online Documentation CUDA Toolkit 10.1 update2 (Aug 2019), Versioned Online Documentation CUDA Toolkit 10.1 update1 (May 2019), Versioned Online Documentation CUDA Toolkit 10.1 (Feb 2019), Online Documentation CUDA Toolkit 10.0 (Sept 2018), Online Documentation CUDA Toolkit 9.2 (May 2018),Online Documentation CUDA Toolkit 9.1 (Dec 2017), Online DocumentationCUDA Toolkit 9.0 (Sept 2017), Online Documentation CUDA Toolkit 8.0 GA2 (Feb 2017), Online Documentation CUDA Toolkit 8.0 GA1 (Sept 2016), Online Documentation CUDA Toolkit 7.5 (Sept 2015)CUDA Toolkit 7.0 (March 2015)CUDA Toolkit 6.5 (August 2014)CUDA Toolkit 6.0 (April 2014)CUDA Toolkit 5.5 (July 2013)CUDA Toolkit 5.0 (Oct 2012)CUDA Toolkit 4.2 (April 2012)CUDA Toolkit 4.1 (Jan 2012)CUDA Toolkit 4.0 (May 2011)CUDA Toolkit 3.2 (Nov 2010)CUDA Toolkit 3.1 (June 2010)CUDA Toolkit 3.0 (March 2010)CUDA Toolkit 2.3 (June 2009)CUDA Toolkit 2.2 (May 2009)CUDA Toolkit 2.1 (Jan 2009)CUDA Toolkit 2.0 (Aug 2008)CUDA Toolkit 1.1 (Dec 2007)CUDA Toolkit 1.0 (June 2007)Learn more about the latest CUDA Toolkit and the CUDA Tools and Library Ecosystem

CUDA on WSL :: CUDA Toolkit Documentation

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. If the command is not recognized, download and install the CUDA Toolkit from CUDA Toolkit Downloads. Install the CUDA Toolkit: To install the CUDA Toolkit: Visit the CUDA Toolkit Download Page. Select the appropriate version (e.g, CUDA 12.0) for your system. The NVIDIA CUDA Toolkit is available at Choose the platform you are using and download the NVIDIA CUDA Toolkit. The CUDA Toolkit

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Previous releases of the CUDA Toolkit, GPU Computing SDK, documentation and developer drivers can be found using the links below. Please select the release you want from the list below, and be sure to check www.nvidia.com/drivers for more recent production drivers appropriate for your hardware configuration.Latest ReleaseCUDA Toolkit 12.8.1 (March 2025), Versioned Online DocumentationArchived Releases CUDA Toolkit 12.8.0 (January 2025), Versioned Online Documentation CUDA Toolkit 12.6.3 (November 2024), Versioned Online Documentation CUDA Toolkit 12.6.2 (October 2024), Versioned Online Documentation CUDA Toolkit 12.6.1 (August 2024), Versioned Online Documentation CUDA Toolkit 12.6.0 (August 2024), Versioned Online Documentation CUDA Toolkit 12.5.1 (July 2024), Versioned Online Documentation CUDA Toolkit 12.5.0 (May 2024), Versioned Online Documentation CUDA Toolkit 12.4.1 (April 2024), Versioned Online Documentation CUDA Toolkit 12.4.0 (March 2024), Versioned Online Documentation CUDA Toolkit 12.3.2 (January 2024), Versioned Online Documentation CUDA Toolkit 12.3.1 (November 2023), Versioned Online Documentation CUDA Toolkit 12.3.0 (October 2023), Versioned Online Documentation CUDA Toolkit 12.2.2 (August 2023), Versioned Online Documentation CUDA Toolkit 12.2.1 (July 2023), Versioned Online Documentation CUDA Toolkit 12.2.0 (June 2023), Versioned Online Documentation CUDA Toolkit 12.1.1 (April 2023), Versioned Online Documentation CUDA Toolkit 12.1.0 (February 2023), Versioned Online Documentation CUDA Toolkit 12.0.1 (January 2023), Versioned Online Documentation CUDA Toolkit 12.0.0 (December 2022), Versioned Online Documentation CUDA Toolkit 11.8.0 (October 2022), Versioned Online Documentation CUDA Toolkit 11.7.1 (August 2022), Versioned Online Documentation CUDA Toolkit 11.7.0 (May 2022), Versioned Online Documentation CUDA Toolkit 11.6.2 (March 2022), Versioned Online Documentation CUDA Toolkit 11.6.1 (February 2022), Versioned Online Documentation CUDA Toolkit 11.6.0 (January 2022), Versioned Online Documentation CUDA Toolkit 11.5.2 (February 2022), Versioned Online Documentation CUDA Toolkit 11.5.1 (November 2021), Versioned Online Documentation CUDA Toolkit 11.5.0 (October 2021), Versioned Online Documentation CUDA Toolkit 11.4.4 (February 2022), Versioned Online Documentation CUDA Toolkit 11.4.3 (November 2021), Versioned Online Documentation CUDA Toolkit 11.4.2 (September 2021), Versioned Online Documentation CUDA Toolkit 11.4.1 (August 2021), Versioned Online Documentation CUDA Toolkit 11.4.0 (June 2021), Versioned Online Documentation CUDA Toolkit 11.3.1 (May 2021), Versioned Online Documentation CUDA Toolkit 11.3.0 (April 2021), Versioned Online Documentation CUDA Toolkit 11.2.2 (March 2021), Versioned Online Documentation CUDA Toolkit 11.2.1 (February 2021), Versioned Online Documentation CUDA Toolkit 11.2.0 (December 2020), Versioned Online Documentation CUDA Toolkit 11.1.1 (October 2020), Versioned Online Documentation CUDA Toolkit 11.1.0 (September 2020), Versioned Online Documentation CUDA Toolkit 11.0.3 (August 2020), Versioned Online Documentation CUDA Toolkit 11.0.2 (July 2020), Versioned Online Documentation CUDA Toolkit 11.0.1 (June 2020), Versioned Online DocumentationCUDA Toolkit

CUDA Compatibility :: CUDA Toolkit Documentation

有的时候，我们需要去找 CUDA 所有版本的下载地址，从而筛选出适合自己的CUDA版本，很多人一时之间又找不到官方下载地址。今天，特意来笔记一下，顺便分享给有需要的朋友们！ Toolkit 12.1.1 (April 2023), Versioned Online DocumentationCUDA Toolkit 12.1.0 (February 2023), Versioned Online DocumentationCUDA Toolkit 12.0.1 (January 2023), Versioned Online DocumentationCUDA Toolkit 12.0.0 (December 2022), Versioned Online DocumentationCUDA Toolkit 11.8.0 (October 2022), Versioned Online DocumentationCUDA Toolkit 11.7.1 (August 2022), Versioned Online DocumentationCUDA Toolkit 11.7.0 (May 2022), Versioned Online DocumentationCUDA Toolkit 11.6.2 (March 2022), Versioned Online DocumentationCUDA Toolkit 11.6.1 (February 2022), Versioned Online DocumentationCUDA Toolkit 11.6.0 (January 2022), Versioned Online DocumentationCUDA Toolkit 11.5.2 (February 2022), Versioned Online DocumentationCUDA Toolkit 11.5.1 (November 2021), Versioned Online DocumentationCUDA Toolkit 11.5.0 (October 2021), Versioned Online DocumentationCUDA Toolkit 11.4.4 (February 2022), Versioned Online DocumentationCUDA Toolkit 11.4.3 (November 2021), Versioned Online DocumentationCUDA Toolkit 11.4.2 (September 2021), Versioned Online DocumentationCUDA Toolkit 11.4.1 (August 2021), Versioned Online DocumentationCUDA Toolkit 11.4.0 (June 2021), Versioned Online DocumentationCUDA Toolkit 11.3.1 (May 2021), Versioned Online DocumentationCUDA Toolkit 11.3.0 (April 2021), Versioned Online DocumentationCUDA Toolkit 11.2.2 (March 2021), Versioned Online DocumentationCUDA Toolkit 11.2.1 (February 2021), Versioned Online DocumentationCUDA Toolkit 11.2.0 (December 2020), Versioned Online DocumentationCUDA Toolkit 11.1.1 (October 2020), Versioned Online DocumentationCUDA Toolkit 11.1.0 (September 2020), Versioned Online DocumentationCUDA Toolkit 11.0.3 (August 2020), Versioned Online DocumentationCUDA Toolkit 11.0.2 (July 2020), Versioned Online DocumentationCUDA Toolkit 11.0.1 (June 2020), Versioned Online DocumentationCUDA Toolkit 10.2 (Nov 2019), Versioned Online DocumentationCUDA Toolkit 10.1 update2 (Aug 2019), Versioned Online DocumentationCUDA Toolkit 10.1 update1 (May 2019), Versioned Online DocumentationCUDA Toolkit 10.1 (Feb 2019), Online DocumentationCUDA Toolkit 10.0 (Sept 2018), Online DocumentationCUDA Toolkit 9.2 (May 2018),Online DocumentationCUDA Toolkit 9.1 (Dec 2017), Online DocumentationCUDA Toolkit 9.0 (Sept 2017), Online DocumentationCUDA Toolkit 8.0 GA2 (Feb 2017), Online DocumentationCUDA Toolkit 8.0 GA1 (Sept 2016), Online DocumentationCUDA Toolkit 7.5 (Sept 2015)CUDA Toolkit 7.0 (March 2015)CUDA Toolkit 6.5 (August 2014)CUDA Toolkit 6.0 (April 2014)CUDA Toolkit 5.5 (July 2013)CUDA Toolkit 5.0 (Oct 2012)CUDA Toolkit 4.2 (April 2012)CUDA Toolkit 4.1 (Jan 2012)CUDA Toolkit 4.0 (May 2011)CUDA Toolkit 3.2 (Nov 2010)CUDA Toolkit 3.1 (June 2010)CUDA Toolkit 3.0 (March 2010)CUDA Toolkit 2.3 (June 2009)CUDA Toolkit 2.2 (May 2009)CUDA Toolkit 2.1 (Jan 2009)CUDA Toolkit 2.0 (Aug 2008)CUDA Toolkit 1.1 (Dec 2007)CUDA Toolkit 1.0 (June 2007)

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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). If the command is not recognized, download and install the CUDA Toolkit from CUDA Toolkit Downloads. Install the CUDA Toolkit: To install the CUDA Toolkit: Visit the CUDA Toolkit Download Page. Select the appropriate version (e.g, CUDA 12.0) for your system. The NVIDIA CUDA Toolkit is available at Choose the platform you are using and download the NVIDIA CUDA Toolkit. The CUDA Toolkit

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2025-04-23

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The file by right clicking the project you wish to add the file to, selecting Add New Item, selecting NVIDIA CUDA 12.6\CodeCUDA C/C++ File, and then selecting the file you wish to add.For advanced users, if you wish to try building your project against a newer CUDA Toolkit without making changes to any of your project files, go to the Visual Studio command prompt, change the current directory to the location of your project, and execute a command such as the following:msbuild /t:Rebuild /p:CudaToolkitDir="drive:/path/to/new/toolkit/"5. Additional ConsiderationsNow that you have CUDA-capable hardware and the NVIDIA CUDA Toolkit installed, you can examine and enjoy the numerous included programs. To begin using CUDA to accelerate the performance of your own applications, consult the CUDA C Programming Guide, located in the CUDA Toolkit documentation directory.A number of helpful development tools are included in the CUDA Toolkit or are available for download from the NVIDIA Developer Zone to assist you as you develop your CUDA programs, such as NVIDIA® Nsight™ Visual Studio Edition, and NVIDIA Visual Profiler.For technical support on programming questions, consult and participate in the developer forums at Notices6.1. NoticeThis document is provided for information purposes only and shall not be regarded as a warranty of a certain functionality, condition, or quality of a product. NVIDIA Corporation (“NVIDIA”) makes no representations or warranties, expressed or implied, as to the accuracy or completeness of the information contained in this document and assumes no responsibility for any errors contained herein. NVIDIA shall have no liability

2025-04-17

User9511

]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 .

2025-04-12