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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

ASReml-SA is a robust statistical software specifically tailored for mixed models that utilize Residual Maximum Likelihood (REML) for parameter estimation. Linear mixed-effects models serve as a versatile and comprehensive method for analyzing numerous datasets frequently encountered in fields such as animal, plant, and aquatic breeding, as well as in agriculture, environmental sciences, and medical research. The newest version, ASReml-SA 4.2, boasts three times the memory capacity of its predecessor 4.1, allowing for significantly larger analytical tasks to be performed. With enhancements in parallel processing and the capability to allocate memory for specific operations, the software has also seen improvements in speed; a comparison table is provided below to illustrate the speed enhancements realized across various analyses. ASReml-SA 4.2 not only accelerates processing but also offers users the potential for optimized performance tailored to their specific hardware and analytical needs. Ultimately, these advancements reflect ASReml-SA's commitment to facilitating efficient and effective data analysis.

Description

The RAPIDS software library suite, designed on CUDA-X AI, empowers users to run comprehensive data science and analytics workflows entirely on GPUs. It utilizes NVIDIA® CUDA® primitives for optimizing low-level computations while providing user-friendly Python interfaces that leverage GPU parallelism and high-speed memory access. Additionally, RAPIDS emphasizes essential data preparation processes tailored for analytics and data science, featuring a familiar DataFrame API that seamlessly integrates with various machine learning algorithms to enhance pipeline efficiency without incurring the usual serialization overhead. Moreover, it supports multi-node and multi-GPU setups, enabling significantly faster processing and training on considerably larger datasets. By incorporating RAPIDS, you can enhance your Python data science workflows with minimal code modifications and without the need to learn any new tools. This approach not only streamlines the model iteration process but also facilitates more frequent deployments, ultimately leading to improved machine learning model accuracy. As a result, RAPIDS significantly transforms the landscape of data science, making it more efficient and accessible.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ActiveScale Yes 
Anaconda No 
Apache Spark No 
Capital One Spark Business Banking No 
Databricks No 
Domino Enterprise AI Platform No 
Gradient No 
HEAVY.AI No 
HPE Ezmeral Data Fabric No 
IBM Cloud No 
Iguazio No 
Kinetica No 
NVIDIA FLARE No 
Nuclio No 
Plotly Dash No 

Integrations

ActiveScale No 
Anaconda Yes 
Apache Spark Yes 
Capital One Spark Business Banking Yes 
Databricks Yes 
Domino Enterprise AI Platform Yes 
Gradient Yes 
HEAVY.AI Yes 
HPE Ezmeral Data Fabric Yes 
IBM Cloud Yes 
Iguazio Yes 
Kinetica Yes 
NVIDIA FLARE Yes 
Nuclio Yes 
Plotly Dash Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

VSN International

Founded

2000

Country

United Kingdom

Website

www.vsni.co.uk

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/rapids

Product Features

Statistical Analysis

Analytics No 
Association Discovery Yes 
Compliance Tracking Yes 
File Management No 
File Storage Yes 
Forecasting No 
Multivariate Analysis No 
Regression Analysis No 
Statistical Process Control No 
Statistical Simulation Yes 
Survival Analysis No 
Time Series No 
Visualization No 

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

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