ASRemlVSN International
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NVIDIA RAPIDSNVIDIA
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Related Products
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About
ASReml-SA is powerful statistical software specially designed for mixed models using Residual Maximum Likelihood (REML) to estimate the parameters. Linear mixed-effects models provide a rich and flexible tool for the analysis of many data sets commonly arising in animal, plant and aqua breeding, agriculture, environmental sciences and medical sciences. Our latest release, ASReml-SA 4.2, has three times as much available memory as 4.1 and can therefore handle much larger analyses. Plus with parallel processing and the ability to allocate memory to certain tasks, we've also made it much faster: check out the comparison table below to see speed gains we've achieved for a selection of analyses. ASReml-SA 4.2 delivers impressive gains in processing speed. These gains depend upon a variety of factors including a microprocessor, machine power, dataset size and type of analysis run, among others, and they will vary between users.
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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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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not 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
Laboratories in need of a Statistical Analysis solution
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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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Support
Phone Support
Not 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
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationVSN International
Founded: 2000
United Kingdom
www.vsni.co.uk
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids
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Alternatives |
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Categories |
Categories |
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Statistical Analysis Features
Analytics
Not Supported
Association Discovery
Supported
Compliance Tracking
Supported
File Management
Not Supported
File Storage
Supported
Forecasting
Not Supported
Multivariate Analysis
Not Supported
Regression Analysis
Not Supported
Statistical Process Control
Not Supported
Statistical Simulation
Supported
Survival Analysis
Not Supported
Time Series
Not Supported
Visualization
Not Supported
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Integrations
ActiveScale
Supported
Anaconda
Not Supported
Apache Spark
Not Supported
Capital One Spark Business Banking
Not Supported
Databricks
Not Supported
Domino Enterprise AI Platform
Not Supported
Gradient
Not Supported
HEAVY.AI
Not Supported
HPE Ezmeral Data Fabric
Not Supported
IBM Cloud
Not Supported
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Integrations
ActiveScale
Not Supported
Anaconda
Supported
Apache Spark
Supported
Capital One Spark Business Banking
Supported
Databricks
Supported
Domino Enterprise AI Platform
Supported
Gradient
Supported
HEAVY.AI
Supported
HPE Ezmeral Data Fabric
Supported
IBM Cloud
Supported
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