{"library":"nvidia-nvjitlink-cu12","type":"library","category":null,"description":"The `nvidia-nvjitlink-cu12` package is a metapackage that facilitates the installation of the NVIDIA JIT LTO (Just-In-Time Link Time Optimization) library, `nvJitLink`, as part of the CUDA Toolkit for CUDA 12.x environments. It ensures the presence of the native C-based `nvJitLink` library, which is used by other Python libraries like CuPy and Numba-CUDA for advanced GPU code compilation and linking at runtime. This package itself does not expose direct Python APIs for JIT linking. The current version is 12.9.86, and it follows the CUDA Toolkit's release cadence.","language":"python","status":"active","version":"12.9.86","tags":["NVIDIA","CUDA","JIT","LTO","GPU","compiler","runtime","deep learning","machine learning"],"install":[{"cmd":"pip install nvidia-nvjitlink-cu12","imports":["This package primarily installs native libraries; direct Python imports for JIT linking functionality are not typically made from `nvidia-nvjitlink-cu12`. Higher-level libraries like `pynvjitlink-cu12`, `numba.cuda`, or `cupy` provide the Python interfaces that utilize the installed `nvJitLink` library."]},{"cmd":"pip install --extra-index-url https://pypi.nvidia.com nvidia-pyindex\npip install nvidia-nvjitlink-cu12","imports":[]}],"homepage":"https://developer.nvidia.com/cuda-zone","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/nvidia-nvjitlink-cu12/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/nvidia-nvjitlink-cu12/compatibility"},"provenance":{"verified_status":"skip","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":"stale"}}