Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • IONOS Cloud GPU Servers Reviews & Ratings
    45,199 Ratings
    Company Website
  • Runpod Reviews & Ratings
    230 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • Google Compute Engine Reviews & Ratings
    1,169 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,027 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Shoplogix Smart Factory Platform Reviews & Ratings
    19 Ratings
    Company Website
  • NINJIO Reviews & Ratings
    416 Ratings
    Company Website
  • Servers.com by Nexcess Reviews & Ratings
    15 Ratings
    Company Website
  • Datasite Diligence Virtual Data Room Reviews & Ratings
    715 Ratings
    Company Website

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

Anaconda
Apache Spark
Domino Enterprise AI Platform
Gradient
HPE Ezmeral Data Fabric
IBM Cloud
Iguazio
Kinetica
NVIDIA FLARE
Plotly Dash

Integrations Supported

ANSYS SpaceClaim
Google Sheets
Microsoft Excel
OpenFOAM
SQL
Siemens APM
Snowflake

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

€9,000 per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
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

AI Infrastructure

Not specified

Data Science

Not specified

Categories and Features

Data Intelligence

Not specified

Data Pipeline

Not specified

Data Science

Not specified

Machine Learning

Not specified

Popular Alternatives

Popular Alternatives

Composable DataOps Platform Reviews & Ratings

Composable DataOps Platform

Composable Analytics