cuda-toolkit 13.4.1
NVIDIA CUDA Toolkit
The NVIDIA CUDA Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library.
cuda-toolkit package
The cuda-toolkit package is a meta-package (a package that contains no software and only installs other packages) to install all or part of the NVIDIA CUDA Toolkit.
For instructions on how to use the cuda-toolkit package, please refer to the NVIDIA CUDA Toolkit documentation and follow the installation guide for your platform. A summary of usage is also available below.
Using the cuda-toolkit package
The cuda-toolkit package uses package extras to install all or part of the CUDA Toolkit.
Some examples of using the cuda-toolkit meta-package with extras:
Install all of the CUDA Toolkit
pip install cuda-toolkit[all]
Install just the CUDA Runtime
pip install cuda-toolkit[cudart]
Install cuBLAS, cuSOLVER, and cuSPARSE
pip install cuda-toolkit[cublas,cusolver,cusparse]
Available extras
| Extra | Package | Version |
|---|---|---|
all |
All packages below | |
| cccl | nvidia-cuda-cccl | 13.3.4.2.1. |
| crt | nvidia-cuda-crt | 13.4.59. |
| cublas | nvidia-cublas | 13.7.0.27. |
| cudart | nvidia-cuda-runtime | 13.4.49. |
| cudla | nvidia-cudla | 13.4.49. |
| cufft | nvidia-cufft | 12.4.0.34. |
| cufile | nvidia-cufile | 1.19.0.109. |
| culibos | nvidia-cuda-culibos | 13.4.49. |
| cuobjdump | nvidia-cuda-cuobjdump | 13.4.49. |
| cupti | nvidia-cuda-cupti | 13.4.58. |
| curand | nvidia-curand | 10.4.4.49. |
| cusolver | nvidia-cusolver | 12.3.2.15. |
| cusparse | nvidia-cusparse | 12.8.6.49. |
| cuxxfilt | nvidia-cuda-cuxxfilt | 13.4.49. |
| npp | nvidia-npp | 13.2.0.35. |
| nvcc | nvidia-cuda-nvcc | 13.4.59. |
| nvdisasm | nvidia-cuda-nvdisasm | 13.4.49. |
| nvfatbin | nvidia-nvfatbin | 13.4.49. |
| nvjitlink | nvidia-nvjitlink | 13.4.52 |
| nvjpeg | nvidia-nvjpeg | 13.2.2.35. |
| nvml | nvidia-nvml-dev | 13.4.61. |
| nvptxcompiler | nvidia-nvptxcompiler | 13.4.59. |
| nvrtc | nvidia-cuda-nvrtc | 13.4.59. |
| nvtx | nvidia-nvtx | 13.4.49. |
| nvvm | nvidia-nvvm | 13.4.59. |
| opencl | nvidia-cuda-opencl | 13.4.49. |
| profiler | nvidia-cuda-profiler-api | 13.4.49. |
| sanitizer | nvidia-cuda-sanitizer-api | 13.4.57. |
| tileiras | nvidia-cuda-tileiras | 13.4.59. |
1 maintainer
Release files for cuda-toolkit 13.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cuda_toolkit-13.4.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / cuda_toolkit-13.4.1.0-py2.py3-none-any.whl
| Download URL | cuda_toolkit-13.4.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 2.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
433c6197ebb482ad0c00ab6e1aa0d2ba5d3e817a25cb9943418d5363aaca6464
|
|
BLAKE2b-256 checksum How to use checksums |
82bcf95a9c7027b61d00bf9eef1c4bd2f6336e3f742e49693279b0e56dba2a3c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
