{"library":"cuda-toolkit","type":"library","category":null,"description":"The `cuda-toolkit` meta-package on PyPI facilitates the installation of NVIDIA CUDA runtime libraries and their dependencies (like cuBLAS, cuDNN) for Python environments. It doesn't provide direct Python APIs but serves as an underlying dependency for deep learning frameworks like PyTorch and TensorFlow to leverage NVIDIA GPUs. The current version is 13.2.0, with updates generally aligning with NVIDIA's main CUDA Toolkit releases, typically a few times per year.","language":"python","status":"active","version":"13.2.0","tags":["gpu","deep-learning","hardware","cuda","nvidia","runtime"],"last_verified":"Wed May 20","install":[{"cmd":"pip install cuda-toolkit","imports":["This package is a meta-package for C++/binary libraries and does not provide direct Python imports. Functionality is exposed via frameworks like PyTorch or TensorFlow."]}],"homepage":"https://developer.nvidia.com/cuda-toolkit","github":null,"docs":"https://docs.nvidia.com/cuda/","changelog":null,"pypi":"https://pypi.org/project/cuda-toolkit/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/cuda-toolkit/compatibility"}}