![]() The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. With CUDA, developers can dramatically speed up computing applications by harnessing the power of GPUs. As for how long before the next version of CUDA Toolkit arrives and macOS support is dropped, that’s not made clear in the release notes for this version. CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). The loss of macOS support isn’t great news for developers taking advantage of the CUDA Toolkit, so it’s good to be aware of the incoming change. NVIDIA’s parallel computing platform allows for developers to speed up compute-intensive applications when necessary. NVIDIA developed CUDA as a parallel computing platform and programming model for its own graphics processing units, or GPUs. Support for macOS will not be available starting with the next release of CUDA. ![]() The company states, rather matter-of-factly, that support for macOS will no longer be available once the next version of CUDA Toolkit arrives at some point in the future.ĬUDA 10.2 (Toolkit and NVIDIA driver) is the last release to support macOS for developing and running CUDA applications. NVidia CUDA Toolkit 9.0 Find the best download for your system Driver unavailable Search support Fixes & Enhancements Version Release date Download Type. Samples for CUDA Developers which demonstrates features in CUDA Toolkit - GitHub - NVIDIA/cuda-samples: Samples for CUDA Developers which demonstrates. ![]() In a recent developer update tied to the release notes for CUDA Toolkit 10.2, NVIDIA has confirmed that this will be the last version of the toolkit to support macOS. Free Tools and Trainings for Developers Get exclusive access to hundreds of SDKs, technical trainings, and opportunities. The CUDA container images provide an easy-to-use. NVIDIA has recently confirmed that a big change is coming to developers who use Apple’s macOS desktop operating system. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.
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