| Name | cuda-toolkit JSON |
| Version |
13.0.1
JSON |
| download |
| home_page | None |
| Summary | CUDA Toolkit meta-package |
| upload_time | 2025-09-08 21:06:25 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | None |
| keywords |
cuda
nvidia
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# cuda-toolkit 13.0.1
### [NVIDIA CUDA Toolkit](https://developer.nvidia.com/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](https://docs.nvidia.com/cuda/) 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 | 13.0.85 |
| crt | nvidia-cuda-crt | 13.0.88 |
| cublas | nvidia-cublas | 13.0.2.14 |
| cudart | nvidia-cuda-runtime | 13.0.88 |
| cufft | nvidia-cufft | 12.0.0.61 |
| cufile | nvidia-cufile | 1.15.1.6 |
| culibos | nvidia-cuda-culibos | 13.0.85 |
| cupti | nvidia-cuda-cupti | 13.0.85 |
| curand | nvidia-curand | 10.4.0.35 |
| cusolver | nvidia-cusolver | 12.0.4.66 |
| cusparse | nvidia-cusparse | 12.6.3.3 |
| cuxxfilt | nvidia-cuda-cuxxfilt | 13.0.85 |
| npp | nvidia-npp | 13.0.1.2 |
| nvcc | nvidia-cuda-nvcc | 13.0.88 |
| nvfatbin | nvidia-nvfatbin | 13.0.85 |
| nvjitlink | nvidia-nvjitlink | 13.0.88 |
| nvjpeg | nvidia-nvjpeg | 13.0.1.86 |
| nvml | nvidia-nvml-dev | 13.0.87 |
| nvptxcompiler | nvidia-nvptxcompiler | 13.0.88 |
| nvrtc | nvidia-cuda-nvrtc | 13.0.88 |
| nvtx | nvidia-nvtx | 13.0.85 |
| nvvm | nvidia-nvvm | 13.0.88 |
| opencl | nvidia-cuda-opencl | 13.0.85 |
| profiler | nvidia-cuda-profiler-api | 13.0.85 |
| sanitizer | nvidia-cuda-sanitizer-api | 13.0.85 |
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"description": "# cuda-toolkit 13.0.1\n\n### [NVIDIA CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit)\n\n> 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.\n\n### `cuda-toolkit` package\n\nThe `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.\n\nFor instructions on how to use the `cuda-toolkit` package, please refer to the [NVIDIA CUDA Toolkit documentation](https://docs.nvidia.com/cuda/) and follow the installation guide for your platform. A summary of usage is also available below.\n\n### Using the `cuda-toolkit` package\n\nThe `cuda-toolkit` package uses package extras to install all or part of the CUDA Toolkit.\nSome examples of using the `cuda-toolkit` meta-package with extras:\n\nInstall all of the CUDA Toolkit\n```\npip install cuda-toolkit[all]\n```\n\nInstall just the CUDA Runtime\n```\npip install cuda-toolkit[cudart]\n```\n\nInstall cuBLAS, cuSOLVER, and cuSPARSE\n```\npip install cuda-toolkit[cublas,cusolver,cusparse]\n```\n\n### Available extras\n\n| Extra | Package | Version |\n|-------|---------|---------|\n| `all` | All packages below | |\n| cccl | nvidia-cuda-cccl | 13.0.85 |\n| crt | nvidia-cuda-crt | 13.0.88 |\n| cublas | nvidia-cublas | 13.0.2.14 |\n| cudart | nvidia-cuda-runtime | 13.0.88 |\n| cufft | nvidia-cufft | 12.0.0.61 |\n| cufile | nvidia-cufile | 1.15.1.6 |\n| culibos | nvidia-cuda-culibos | 13.0.85 |\n| cupti | nvidia-cuda-cupti | 13.0.85 |\n| curand | nvidia-curand | 10.4.0.35 |\n| cusolver | nvidia-cusolver | 12.0.4.66 |\n| cusparse | nvidia-cusparse | 12.6.3.3 |\n| cuxxfilt | nvidia-cuda-cuxxfilt | 13.0.85 |\n| npp | nvidia-npp | 13.0.1.2 |\n| nvcc | nvidia-cuda-nvcc | 13.0.88 |\n| nvfatbin | nvidia-nvfatbin | 13.0.85 |\n| nvjitlink | nvidia-nvjitlink | 13.0.88 |\n| nvjpeg | nvidia-nvjpeg | 13.0.1.86 |\n| nvml | nvidia-nvml-dev | 13.0.87 |\n| nvptxcompiler | nvidia-nvptxcompiler | 13.0.88 |\n| nvrtc | nvidia-cuda-nvrtc | 13.0.88 |\n| nvtx | nvidia-nvtx | 13.0.85 |\n| nvvm | nvidia-nvvm | 13.0.88 |\n| opencl | nvidia-cuda-opencl | 13.0.85 |\n| profiler | nvidia-cuda-profiler-api | 13.0.85 |\n| sanitizer | nvidia-cuda-sanitizer-api | 13.0.85 |",
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