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What is NVIDIA RAPIDS?

The RAPIDS software library suite, built on CUDA-X AI, allows users to conduct extensive data science and analytics tasks solely on GPUs. By leveraging NVIDIA® CUDA® primitives, it optimizes low-level computations while offering intuitive Python interfaces that harness GPU parallelism and rapid memory access. Furthermore, RAPIDS focuses on key data preparation steps crucial for analytics and data science, presenting a familiar DataFrame API that integrates smoothly with various machine learning algorithms, thus improving pipeline efficiency without the typical serialization delays. In addition, it accommodates multi-node and multi-GPU configurations, facilitating much quicker processing and training on significantly larger datasets. Utilizing RAPIDS can upgrade your Python data science workflows with minimal code changes and no requirement to acquire new tools. This methodology not only simplifies the model iteration cycle but also encourages more frequent deployments, which ultimately enhances the accuracy of machine learning models. Consequently, RAPIDS plays a pivotal role in reshaping the data science environment, rendering it more efficient and user-friendly for practitioners. Its innovative features enable data scientists to focus on their analyses rather than technical limitations, fostering a more collaborative and productive workflow.

What is Key Ward?

Effortlessly handle, process, and convert CAD, FE, CFD, and test data with simplicity. Create automated data pipelines for machine learning, reduced order modeling, and 3D deep learning applications. Remove the intricacies of data science without requiring any coding knowledge. Key Ward's platform emerges as the first comprehensive no-code engineering solution, revolutionizing the manner in which engineers engage with their data, whether sourced from experiments or CAx. By leveraging engineering data intelligence, our software enables engineers to easily manage their multi-source data, deriving immediate benefits through integrated advanced analytics tools, while also facilitating the custom creation of machine learning and deep learning models, all within a unified platform with just a few clicks. Centralize, update, extract, sort, clean, and prepare your varied data sources for comprehensive analysis, machine learning, or deep learning applications automatically. Furthermore, utilize our advanced analytics tools on your experimental and simulation data to uncover correlations, identify dependencies, and unveil underlying patterns that can foster innovation in engineering processes. This innovative approach not only streamlines workflows but also enhances productivity and supports more informed decision-making in engineering projects, ultimately leading to improved outcomes and greater efficiency in the field.

Media

Media

Integrations Supported

ANSYS SpaceClaim
Abaqus
Anaconda
Apache Spark
Capital One Spark Business Banking
Databricks
Domino Enterprise AI Platform
Google Sheets
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
Iguazio
NVIDIA FLARE
Nuclio
OpenFOAM
Plotly Dash
SQL
Siemens APM
Snowflake

Integrations Supported

ANSYS SpaceClaim
Abaqus
Anaconda
Apache Spark
Capital One Spark Business Banking
Databricks
Domino Enterprise AI Platform
Google Sheets
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
Iguazio
NVIDIA FLARE
Nuclio
OpenFOAM
Plotly Dash
SQL
Siemens APM
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€9,000 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/rapids

Company Facts

Organization Name

Key Ward

Date Founded

2021

Company Location

Germany

Company Website

www.keyward.io

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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