`cuda-bindings` 13.X.Y Release notes#

Released on TBD

Highlights#

Migrated wheel dependencies from individual NVIDIA packages to the cuda-toolkit metapackage for improved dependency resolution and version constraints.
Automatic CUDA library path detection based on CUDA_HOME, eliminating the need to manually set LIBRARY_PATH environment variables for installation.
The [all] optional dependencies now use cuda-toolkit with appropriate extras instead of individual packages. The NVCC compiler is no longer automatically installed with pip install cuda-python[all] as it was previously included only to access the NVVM library, which now has its own dedicated wheel. Users who need the NVCC compiler should explicitly install it with pip install cuda-toolkit[nvcc]==X.Y with the appropriate version for their needs.
The Python overhead of calling functions in CUDA bindings in driver, runtime and nvrtc has been reduced by approximately 30%.
On Windows, the pywin32 dependency has been removed. The necessary Windows API functions are now accessed directly.
Updated the cuda.bindings.runtime module to statically link against the CUDA Runtime library from CUDA Toolkit 13.0.1.
cyruntime.getLocalRuntimeVersion now uses pathfinder to find the CUDA runtime.
Experimental free-threaded builds are available on PyPI. More details are available in our cuda.bindings Support Policy docs.

Updating from older versions (v12.6.2.post1 and below) via pip install -U cuda-python might not work. Please do a clean re-installation by uninstalling pip uninstall -y cuda-python followed by installing pip install cuda-python.