NVIDIA RAPIDSNVIDIA
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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.
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About
Create, embed and govern analytically driven decision flows at scale in real-time or batch. SAS Data Science Programming enables data scientists who prefer a programmatic-only approach to access SAS analytical capabilities at all stages of the analytics life cycle, including data, discovery and deployment. Visualize and discover relevant relationships in your data. Create and share interactive reports and dashboards, and use self-service analytics to quickly assess probable outcomes for smarter, more data-driven decisions. Explore data and build or adjust predictive analytical models with this solution running in SAS® Viya®. Data scientists, statisticians, and analysts can collaborate and iteratively refine models for each segment or group to make decisions based on accurate insights. Solve complex analytical problems with a comprehensive visual interface that handles all tasks in the analytics life cycle.
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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
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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
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Audience
Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
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Audience
Professionals in need of a tool to create, embed and govern analytically driven decision flows at scale
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids
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Company InformationSAS
United States
support.sas.com/en/software/data-science-programming.html
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Categories |
Categories |
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Integrations
Anaconda
Supported
Apache Spark
Supported
Databricks
Supported
Domino Enterprise AI Platform
Supported
Gradient
Supported
HPE Ezmeral Data Fabric
Supported
Iguazio
Supported
Kinetica
Supported
Microsoft 365
Not Supported
Microsoft Excel
Not Supported
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Integrations
Anaconda
Not Supported
Apache Spark
Not Supported
Databricks
Not Supported
Domino Enterprise AI Platform
Not Supported
Gradient
Not Supported
HPE Ezmeral Data Fabric
Not Supported
Iguazio
Not Supported
Kinetica
Not Supported
Microsoft 365
Supported
Microsoft Excel
Supported
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