cuda-toolkit13.0.1
cuda-toolkit13.0.1
Published
CUDA Toolkit meta-package
pip install cuda-toolkit
Package Downloads
Authors
Project URLs
Requires Python
Dependencies
- nvidia-cublas
==13.0.2.14.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-cccl
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-crt
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-culibos
==13.0.85.*; sys_platform == "linux" and extra == "all" - nvidia-cuda-cupti
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-cuxxfilt
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-nvcc
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-nvrtc
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-opencl
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-profiler-api
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-runtime
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-sanitizer-api
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cufft
==12.0.0.61.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cufile
==1.15.1.6.*; sys_platform == "linux" and extra == "all" - nvidia-curand
==10.4.0.35.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cusolver
==12.0.4.66.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cusparse
==12.6.3.3.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-npp
==13.0.1.2.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-nvfatbin
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-nvjitlink
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-nvjpeg
==13.0.1.86.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-nvml-dev
==13.0.87.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-nvptxcompiler
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-nvtx
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-nvvm
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "all" - nvidia-cuda-cccl
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "cccl" - nvidia-cuda-crt
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "crt" - nvidia-cublas
==13.0.2.14.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "cublas" - nvidia-cuda-runtime
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "cudart" - nvidia-cufft
==12.0.0.61.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "cufft" - nvidia-cufile
==1.15.1.6.*; sys_platform == "linux" and extra == "cufile" - nvidia-cuda-culibos
==13.0.85.*; sys_platform == "linux" and extra == "culibos" - nvidia-cuda-cupti
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "cupti" - nvidia-curand
==10.4.0.35.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "curand" - nvidia-cusolver
==12.0.4.66.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "cusolver" - nvidia-cusparse
==12.6.3.3.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "cusparse" - nvidia-cuda-cuxxfilt
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "cuxxfilt" - nvidia-npp
==13.0.1.2.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "npp" - nvidia-cuda-nvcc
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvcc" - nvidia-nvfatbin
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvfatbin" - nvidia-nvjitlink
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvjitlink" - nvidia-nvjpeg
==13.0.1.86.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvjpeg" - nvidia-nvml-dev
==13.0.87.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvml" - nvidia-nvptxcompiler
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvptxcompiler" - nvidia-cuda-nvrtc
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvrtc" - nvidia-nvtx
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvtx" - nvidia-nvvm
==13.0.88.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "nvvm" - nvidia-cuda-opencl
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "opencl" - nvidia-cuda-profiler-api
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "profiler" - nvidia-cuda-sanitizer-api
==13.0.85.*; (sys_platform == "linux" or sys_platform == "win32") and extra == "sanitizer"
cuda-toolkit 13.0.1
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 | 13.0.85 |
| 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 |