| Metadata-Version: 2.4 |
| Name: cuda-python |
| Version: 13.1.1 |
| Summary: CUDA Python: Performance meets Productivity |
| Author-email: NVIDIA Corporation <cuda-python-conduct@nvidia.com> |
| License-Expression: LicenseRef-NVIDIA-SOFTWARE-LICENSE |
| Project-URL: homepage, https://nvidia.github.io/cuda-python/ |
| Project-URL: documentation, https://nvidia.github.io/cuda-python/ |
| Project-URL: repository, https://github.com/NVIDIA/cuda-python/ |
| Project-URL: issues, https://github.com/NVIDIA/cuda-python/issues/ |
| Classifier: Operating System :: POSIX :: Linux |
| Classifier: Operating System :: Microsoft :: Windows |
| Classifier: Topic :: Software Development :: Libraries |
| Classifier: Topic :: Education |
| Classifier: Topic :: Scientific/Engineering |
| Classifier: Intended Audience :: Developers |
| Classifier: Intended Audience :: Science/Research |
| Classifier: Intended Audience :: End Users/Desktop |
| Classifier: Programming Language :: Python :: 3 :: Only |
| Classifier: Programming Language :: Python :: 3.10 |
| Classifier: Programming Language :: Python :: 3.11 |
| Classifier: Programming Language :: Python :: 3.12 |
| Classifier: Programming Language :: Python :: 3.13 |
| Classifier: Programming Language :: Python :: 3.14 |
| Classifier: Programming Language :: Python :: Implementation :: CPython |
| Classifier: Environment :: GPU :: NVIDIA CUDA |
| Classifier: Environment :: GPU :: NVIDIA CUDA :: 12 |
| Classifier: Environment :: GPU :: NVIDIA CUDA :: 13 |
| Requires-Python: >=3.10 |
| Description-Content-Type: text/x-rst |
| License-File: LICENSE |
| Requires-Dist: cuda-bindings~=13.1.1 |
| Requires-Dist: cuda-pathfinder~=1.1 |
| Provides-Extra: all |
| Requires-Dist: cuda-bindings[all]~=13.1.1; extra == "all" |
| Dynamic: license-file |
| Dynamic: provides-extra |
| Dynamic: requires-dist |
|
|
| .. SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. |
| .. SPDX-License-Identifier: LicenseRef-NVIDIA-SOFTWARE-LICENSE |
|
|
| ************************************************************** |
| cuda-python: Metapackage collection of CUDA Python subpackages |
| ************************************************************** |
|
|
| CUDA Python is the home for accessing NVIDIA's CUDA platform from Python. It consists of multiple components: |
|
|
| * `cuda.core <https://nvidia.github.io/cuda-python/cuda-core/latest>`_: Pythonic access to CUDA Runtime and other core functionality |
| * `cuda.bindings <https://nvidia.github.io/cuda-python/cuda-bindings/latest>`_: Low-level Python bindings to CUDA C APIs |
| * `cuda.pathfinder <https://nvidia.github.io/cuda-python/cuda-pathfinder/latest>`_: Utilities for locating CUDA components installed in the user's Python environment |
| * `cuda.coop <https://nvidia.github.io/cccl/python/coop>`_: A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels |
| * `cuda.compute <https://nvidia.github.io/cccl/python/compute>`_: A Python module for easy access to CCCL's highly efficient and customizable parallel algorithms, like ``sort``, ``scan``, ``reduce``, ``transform``, etc. that are callable on the *host* |
| * `numba.cuda <https://nvidia.github.io/numba-cuda/>`_: A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions |
| * `cuda.tile <https://docs.nvidia.com/cuda/cutile-python/>`_: A new Python DSL that exposes CUDA **Tile** programming model and allows users to write NumPy-like code in CUDA kernels |
| * `nvmath-python <https://docs.nvidia.com/cuda/nvmath-python/latest>`_: Pythonic access to NVIDIA CPU & GPU Math Libraries, with `host <https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#host-apis>`_, `device <https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis>`_, and `distributed <https://docs.nvidia.com/cuda/nvmath-python/latest/distributed-apis/index.html>`_ APIs. It also provides low-level Python bindings to host C APIs (`nvmath.bindings <https://docs.nvidia.com/cuda/nvmath-python/latest/bindings/index.html>`_). |
| * `nvshmem4py <https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html>`_: Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing |
| * `Nsight Python <https://docs.nvidia.com/nsight-python/index.html>`_: Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools |
| * `CUPTI Python <https://docs.nvidia.com/cupti-python/>`_: Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI) |
|
|
| CUDA Python is currently undergoing an overhaul to improve existing and introduce new components. All of the previously available functionality from the ``cuda-python`` package will continue to be available, please refer to the `cuda.bindings <https://nvidia.github.io/cuda-python/cuda-bindings/latest>`_ documentation for installation guide and further detail. |
|
|
| cuda-python as a metapackage |
| ============================ |
|
|
| ``cuda-python`` is being restructured to become a metapackage that contains a collection of subpackages. Each subpackage is versioned independently, allowing installation of each component as needed. |
|
|
| Subpackage: cuda.core |
| --------------------- |
|
|
| The ``cuda.core`` package offers idiomatic, pythonic access to CUDA Runtime and other functionality. |
|
|
| The goals are to |
|
|
| 1. Provide **idiomatic ("pythonic")** access to CUDA Driver, Runtime, and JIT compiler toolchain |
| 2. Focus on **developer productivity** by ensuring end-to-end CUDA development can be performed quickly and entirely in Python |
| 3. **Avoid homegrown** Python abstractions for CUDA for new Python GPU libraries starting from scratch |
| 4. **Ease** developer **burden of maintaining** and catching up with latest CUDA features |
| 5. **Flatten the learning curve** for current and future generations of CUDA developers |
|
|
| Subpackage: cuda.bindings |
| ------------------------- |
|
|
| The ``cuda.bindings`` package is a standard set of low-level interfaces, providing full coverage of and access to the CUDA host APIs from Python. |
|
|
| The list of available interfaces is: |
|
|
| * CUDA Driver |
| * CUDA Runtime |
| * NVRTC |
| * nvJitLink |
| * NVVM |
| * cuFile |
|
|
