-
Latest Version
-
Operating System
Windows 10
-
User Rating
Click to vote -
Author / Product
-
Filename
cuda_11.7.0_516.01_windows.exe
Sometimes latest versions of the software can cause issues when installed on older devices or devices running an older version of the operating system.
Software makers usually fix these issues but it can take them some time. What you can do in the meantime is to download and install an older version of NVIDIA CUDA Toolkit 11.7.0 (for Windows 10).
For those interested in downloading the most recent release of NVIDIA CUDA Toolkit or reading our review, simply click here.
All old versions distributed on our website are completely virus-free and available for download at no cost.
We would love to hear from you
If you have any questions or ideas that you want to share with us - head over to our Contact page and let us know. We value your feedback!
What's new in this version:
General CUDA:
- To best ensure the security and reliability of our RPM and Debian package repositories, NVIDIA is updating and rotating the signing keys used by apt, dnf/yum, and zypper package managers beginning April 27, 2022. Failure to update your repository signing keys will result in package management errors when attempting to access or install packages from CUDA repositories.
- NVIDIA Open GPU Kernel Modules: With CUDA 11.7 and R515 driver, NVIDIA is open sourcing the GPU kernel mode driver under dual GPL/MIT license. Refer to https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#open-gpu-kernel-modules for more information.
- Lazy Loading: Delay kernel loading from host to GPU to the point where the kernel is called. This also only loads used kernels, which may result in a significant device-side memory savings. This also defers load latency from the beginning of the application to the point where a kernel is first called—overall binary load latency is usually significantly reduced, but is also shifted to later points in the application.
CUDA Compilers:
Grid private constants:
- NVCC host compiler support for clang13
CUDA Developer Tools:
- For changes to nvprof and Visual Profiler, see the changelog
- For new features, improvements, and bug fixes in CUPTI, see the changelog
- For new features, improvements, and bug fixes in Nsight Compute, see the changelog
- For new features, improvements, and bug fixes in Compute Sanitizer, see the changelog
- For new features, improvements, and bug fixes in CUDA-GDB, see the changelog
Fixed:
General CUDA:
- All color formats are now supported for Vulkan-CUDA interop on L4T and Android
- Resolved a linking issue that could be encountered on some systems when using libnvfm.so
CUDA Compilers:
- There was a compiler bug due to which a function marked __forceinline__ in a CUDA C++ program (or a function marked with the NVVM IR alwaysinline attribute for libNVVM compilation) was incorrectly given static linkage by the compiler in certain compilation modes. This incorrect behavior has been fixed and the compiler will not change the linkage in these compilation modes. As a result, if the static linkage is appropriate for such a function, then the program itself should set the linkage.
- Updated the libNVVM API documentation to include the library version and a note regarding thread safety
- OperaOpera 114.0 Build 5282.222 (64-bit)
- 4K Download4K Video Downloader+ 1.10.0 (64-bit)
- PhotoshopAdobe Photoshop CC 2025 26.1 (64-bit)
- OKXOKX - Buy Bitcoin or Ethereum
- iTop VPNiTop VPN 6.1.0 - Fast, Safe & Secure
- Premiere ProAdobe Premiere Pro CC 2025 25.0
- BlueStacksBlueStacks 10.41.610.1001
- Hero WarsHero Wars - Online Action Game
- TradingViewTradingView - Trusted by 60 Million Traders
- LockWiperiMyFone LockWiper (Android) 5.7.2
Comments and User Reviews