.. SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. .. SPDX-License-Identifier: LicenseRef-NVIDIA-SOFTWARE-LICENSE .. module:: cuda.bindings ``cuda-bindings`` 13.0.0 Release notes ====================================== Released on Aug 6, 2025 Highlights ---------- * Support CUDA 13.0. * A utility module :mod:`cuda.bindings.utils` is added * Using ``int(cuda_obj)`` to retrieve the underlying address of a CUDA object is deprecated and subject to future removal. Please switch to use :func:`~cuda.bindings.utils.get_cuda_native_handle` instead. * The ``cuda.bindings.cufile`` Python module was added, wrapping the `cuFile C APIs `_. Supported on Linux only. * Currently using this module requires NumPy to be present. Any recent NumPy 1.x or 2.x should work. * Python bindings in every module, including ``driver``, ``runtime``, and ``nvrtc``, now have the GIL released before calling the underlying C APIs. Breaking changes ---------------- * For breaking changes in the CUDA APIs, please see the `CUDA 13.0 release notes `_. * The trampoline modules ``cuda.{cuda,cudart,nvrtc}`` are now removed. Users should switch to use ``cuda.bindings.{driver,runtime,nvrtc}`` instead. Bug fixes --------- * Fix a library loading bug that preferred shared libraries without a SOVERSION. Miscellaneous ------------- * All Python bindings now have the GIL released when calling into the underlying C APIs. * Added PTX utilities including :func:`~utils.get_minimal_required_cuda_ver_from_ptx_ver` and :func:`~utils.get_ptx_ver`. * Common CUDA objects such as :class:`~runtime.cudaStream_t` now compare equal if the underlying address is the same. * Add a binding to ``nvvmGetErrorString()``. * Build the bindings with Cython profile hooks disabled. * The internal pathfinder module is now isolated to a standalone package ``cuda-pathfinder`` and made as a required dependency. Known issues ------------ * 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``.