CUDA

CUDA

NVIDIA
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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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

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

oneAPI

Intel

Alternatives

NVIDIA NIM

NVIDIA NIM

NVIDIA
OpenCL

OpenCL

The Khronos Group

Categories

Categories

Integrations

Anaconda
Apache Spark
Axivion Static Code Analysis
C++
Capital One Spark Business Banking
Coverity Static Analysis
Domino Enterprise AI Platform
Gradient
HPE Ezmeral Data Fabric
HunyuanCustom
IBM Cloud
Iguazio
JarvisLabs.ai
MATLAB
NVIDIA Brev
NeevCloud
NodeShift
Python
Skyportal

Integrations

Anaconda
Apache Spark
Axivion Static Code Analysis
C++
Capital One Spark Business Banking
Coverity Static Analysis
Domino Enterprise AI Platform
Gradient
HPE Ezmeral Data Fabric
HunyuanCustom
IBM Cloud
Iguazio
JarvisLabs.ai
MATLAB
NVIDIA Brev
NeevCloud
NodeShift
Python
Skyportal
Claim CUDA and update features and information
Claim CUDA and update features and information
Claim NVIDIA RAPIDS and update features and information
Claim NVIDIA RAPIDS and update features and information