CUDA vs. NumPy Comparison


CUDA NVIDIA	NumPy	+	+
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About CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.	About Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers interested in a powerful parallel computing platform and programming model	Audience Component Library solution for DevOps teams
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/cuda-zone	Company Information NumPy numpy.org
Alternatives oneAPI Intel	Alternatives Polars
NVIDIA NIM NVIDIA	h5py HDF5
OpenCL The Khronos Group	broot
NVIDIA HPC SDK NVIDIA	PyQtGraph
Linaro Forge Linaro View All	Dask View All
Categories Application Development Supported	Categories Component Libraries Supported

Integrations AWS Marketplace Supported Code Metal Supported Coiled Not Supported Copernicus Computing Supported Cython Not Supported Dash Not Supported Dataoorts GPU Cloud Supported Flower Not Supported MATLAB Supported NVIDIA Brev Supported NVIDIA Isaac Supported NVIDIA Jetson Supported NVIDIA TensorRT Supported PyCharm Not Supported Skyportal Supported Thunder Compute Supported Train in Data Not Supported Vast.ai Supported Yandex Data Proc Not Supported scikit-learn Not Supported Show More Integrations View All 33 Integrations	Integrations AWS Marketplace Not Supported Code Metal Not Supported Coiled Supported Copernicus Computing Not Supported Cython Supported Dash Supported Dataoorts GPU Cloud Not Supported Flower Supported MATLAB Not Supported NVIDIA Brev Not Supported NVIDIA Isaac Not Supported NVIDIA Jetson Not Supported NVIDIA TensorRT Not Supported PyCharm Supported Skyportal Not Supported Thunder Compute Not Supported Train in Data Supported Vast.ai Not Supported Yandex Data Proc Supported scikit-learn Supported Show More Integrations View All 22 Integrations
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