![]() You can also find us on Twitter ( and Facebook ( msftvisualcpp). Download Nsight Visual Studio Edition v2022.2.1 or later for Visual Studio 2022 support. CUDA ToolKit 11.6.0 and earlier includes a version of Nsight Visual Studio Edition (v2022.1.0), which does not suport VS2022. Express edition is not supported due to lack of support for plugins. Let us know your suggestions through UserVoice. Visual Studio 2022 Community Edition or better is not installed. We can be reached via the comments below or via email ( If you encounter other problems with MSVC in Visual Studio 2017 please let us know through Help > Report A Problem in the product, or via Developer Community. We’d love for you to download Visual Studio 2017 version 15.8 and try out all the new C++ features and improvements. We also have targeted unit tests for PR build validations to guard against potential incompatibility issues. For example, we now have added ( NVIDIA/Cutlass), a CUDA C++ project, into the MSVC Real-World Testing repository as a requirement for shipping. The NVIDIA CUDA Toolkit installer only installs Visual Studio project templates for toolkit version 5.0 and higher. This is also reinforced by both sides adding tests and validation processes as part of release quality gates. The CPU is an Intel Core i7 2600 working. Together with NVIDIA, we now have a solution that will enable all Visual Studio 2017 update versions to work with CUDA 10.0 tools. All the codes based on either CPU or GPU are programmed in Microsoft Visual Studio 2010 with NVIDIA CUDA toolkit. We heard from many of you that this issue is forcing you to stay behind on older versions of Visual Studio. The crux of the problem is about two C++ compilers adding modern C++ standard features at different paces but having to work with a common set of C++ headers (e.g. 15.5) and even earlier major Visual Studio versions, we discovered that some of the library headers became incompatible with CUDA’s NVCC compiler in 9.x versions. In various updates of Visual Studio 2017 (e.g. Congratulations to NVIDIA for this milestone and thank you for a great collaboration! A Bit of Background To stay committed to our promise for a Pain-free upgrade to any version of Visual Studio 2017, we partnered closely with NVIDIA for the past few months to make sure CUDA users can easily migrate between Visual Studio versions. CUDA 10.0 will work with all the past and future updates of Visual Studio 2017. ![]() We are pleased to echo NVIDIA announcement for CUDA 10 today, and particularly excited about CUDA 10.0’s Visual Studio compatibility.
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