CUDA vs. NVIDIA RAPIDS Comparison


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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 The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
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 Not Supported Mac Not Supported Linux Not Supported Cloud 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 Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not 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 No information available. Free Version Not 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 Supported In Person Supported
Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/cuda-zone	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/rapids
Alternatives oneAPI Intel	Alternatives NVIDIA Magnum IO NVIDIA
NVIDIA NIM NVIDIA	Cloudera Data Science Workbench Cloudera
OpenCL The Khronos Group	Azure Data Science Virtual Machines Microsoft
NVIDIA HPC SDK NVIDIA	Domino Enterprise AI Platform Domino Data Lab
Linaro Forge Linaro View All	dotData View All
Categories Application Development Supported	Categories AI Infrastructure Supported Data Science Supported

Integrations Amazon EC2 G4 Instances Supported Apache Spark Not Supported Cody Supported Copernicus Computing Supported Databricks Not Supported Dataoorts GPU Cloud Supported HPE Ezmeral Data Fabric Not Supported NVIDIA FLARE Not Supported NVIDIA Isaac Supported NVIDIA Magnum IO Supported NVIDIA TensorRT Supported NodeShift Supported Plotly Dash Not Supported Pruna AI Supported RightNow AI Supported Skyportal Supported Thunder Compute Supported VMware Private AI Foundation Supported Vast.ai Supported Show More Integrations View All 32 Integrations	Integrations Amazon EC2 G4 Instances Not Supported Apache Spark Supported Cody Not Supported Copernicus Computing Not Supported Databricks Supported Dataoorts GPU Cloud Not Supported HPE Ezmeral Data Fabric Supported NVIDIA FLARE Supported NVIDIA Isaac Not Supported NVIDIA Magnum IO Not Supported NVIDIA TensorRT Not Supported NodeShift Not Supported Plotly Dash Supported Pruna AI Not Supported RightNow AI Not Supported Skyportal Not Supported Thunder Compute Not Supported VMware Private AI Foundation Not Supported Vast.ai Not Supported Show More Integrations View All 17 Integrations
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