![]() ![]() Q: Is cuDNN included as part of the CUDA Toolkit?Ī: cuDNN is our library for Deep Learning frameworks, and can be downloaded separately from the cuDNN home page. ![]() Q: Where can I find old versions of the CUDA Toolkit?Ī: Older versions of the toolkit can be found on the Legacy CUDA Toolkits page. The toolkit includes a container runtime library and utilities. The NVIDIA Container Toolkit provides different options for enumerating GPUs and the capabilities that are supported for CUDA containers. If you only want to install the GDK, then you should use the network installer, for efficiency. The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. Q: Where do I get the GPU Deployment Kit (GDK) for Windows?Ī: The installers give you an option to install the GDK. Beginning with CUDA 7.0, these packages have. The Network Installer is a small executable that will only download the necessary components dynamically during the installation so an internet connection is required. A: Previous releases of the CUDA Toolkit had separate installation packages for notebook and desktop systems. ![]() This makes the installer very large, but once downloaded, it can be installed without an internet connection. Q: What is the difference between the Network Installer and the Local Installer?Ī: The Local Installer has all of the components embedded into it (toolkit, driver, samples). CUDA is a parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. Beginning with CUDA 7.0, these packages have been merged into a single package that is capable of installing on all supported platforms. A: Previous releases of the CUDA Toolkit had separate installation packages for notebook and desktop systems. ![]()
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