cuda-toolkit 13.5.0
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 | 13.3.5.0.6 |
| crt | nvidia-cuda-crt | 13.5.37 |
| cublas | nvidia-cublas | 13.10.0.20 |
| cudart | nvidia-cuda-runtime | 13.5.37 |
| cudla | nvidia-cudla | 13.5.25 |
| cufft | nvidia-cufft | 12.5.0.14 |
| cufile | nvidia-cufile | 1.20.0.107 |
| culibos | nvidia-cuda-culibos | 13.5.25 |
| cuobjdump | nvidia-cuda-cuobjdump | 13.5.37 |
| cupti | nvidia-cuda-cupti | 13.5.25 |
| curand | nvidia-curand | 10.4.5.25 |
| cusolver | nvidia-cusolver | 12.4.1.2 |
| cusparse | nvidia-cusparse | 12.9.4.2 |
| cuxxfilt | nvidia-cuda-cuxxfilt | 13.5.37 |
| npp | nvidia-npp | 13.2.0.93 |
| nvcc | nvidia-cuda-nvcc | 13.5.37 |
| nvdisasm | nvidia-cuda-nvdisasm | 13.5.37 |
| nvfatbin | nvidia-nvfatbin | 13.5.37 |
| nvjitlink | nvidia-nvjitlink | 13.5.37 |
| nvjpeg | nvidia-nvjpeg | 13.3.2.43 |
| nvml | nvidia-nvml-dev | 13.5.37 |
| nvptxcompiler | nvidia-nvptxcompiler | 13.5.37 |
| nvrtc | nvidia-cuda-nvrtc | 13.5.37 |
| nvtx | nvidia-nvtx | 13.5.25 |
| nvvm | nvidia-nvvm | 13.5.37 |
| opencl | nvidia-cuda-opencl | 13.5.25 |
| profiler | nvidia-cuda-profiler-api | 13.5.25 |
| sanitizer | nvidia-cuda-sanitizer-api | 13.5.25 |
| tileiras | nvidia-cuda-tileiras | 13.5.37 |
Metadata
Release files for cuda-toolkit 13.5.0
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 | Actions Reset |
|---|---|---|---|---|
| cuda_toolkit-13.5.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for cuda_toolkit-13.5.0-py2.py3-none-any.whl |
Release files / cuda_toolkit-13.5.0-py2.py3-none-any.whl
| Download URL | cuda_toolkit-13.5.0-py2.py3-none-any.whl |
|---|---|
| Size | 2.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
d5b168b8284af2bad07f313b4d9fd5af0d1c7d6a26b7b019f735784ef718a737
|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
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