Name: NVIDIA RAPIDS
Rating: 9.1 (4 reviews)
Author: NVIDIA

Help Desk

Web and Video Conferencing

Customer Support

Business Intelligence (BI)

Collaboration

Data Discovery and Visualization

Document Management

Enterprise Generative AI

File Sharing

Objectives and Key Results (OKR)

VoIP

Enterprise

Accounting

Online Trading

Payment Orchestration

Trust Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Corporate Volunteering

Course Authoring

Employee Engagement

Employee Performance Management

HR Management

Payroll

Recruitment Agency

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Migration

Cloud Storage

Database DevOps

Database Management

Enterprise Backup

Fraud Detection

Hadoop-Related

High Availability Cluster

IT Service Management (ITSM)

Incident Response

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Network Performance Monitoring

Network Virtualization

Remote Monitoring and Management

Traffic Switching

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Competitive Intelligence

Consumer Ratings & Reviews

Content Management

Cross-Channel Campaign Management

Email Marketing

Local Listing Management

Marketing Automation

Presentation

SMS Marketing

Social Media Advertising

Social Media Management

Survey & Forms Building

Web Analytics

Wholesale Marketplace

Marketing

Field Service Management

Professional Services Automation

Project Management

Professional Services

Conversation Intelligence

Customer Relationship Management (CRM)

Lead Generation Services

Sales Gamification

Sales

Cloud Access Security Brokers

Video Surveillance

Security

Digital Forensics

Estate Planning

Home Health Care

Insurance Claims Management

Military and Defense

Vertical-Specific

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NVIDIA RAPIDS is an open source software library for data science and analytics performed across GPUs. Users can run data science workflows with high-speed GPU compute and parallelize data loading, data manipulation, and machine learning for 50X faster end-to-end data science pipelines.

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NVIDIA RAPIDS

Data Science

Using NVIDIA RAPIDS to Accelerate AI Training in CDP Hybrid Cloud

Likelihood to Recommend

Platform Connectivity

Data Exploration

Data Preparation

Platform Data Modeling

Model Deployment

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Visualization

Interactive Data Analysis

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Nvidia offers computer hardware, as well as virtual desktop products.

NVIDIA

Ability to connect to a wide variety of data sources

Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion

Use R or Python to create custom connectors for any APIs or databases

Automatic detection of data formats and schemas

Integration with MDM and metadata dictionaries

Ability to explore data and develop insights

The product’s support and tooling for analysis and visualization of data.

Ability to analyze data interactively using Python or R Notebooks

Access to visual processors for data wrangling

Use visual tools for standard transformations

Library of processors for data quality checks

Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.

Tools to help automate algorithm development

Single place to build, validate, deliver, and monitor many different models

Multiple model delivery modes to comply with existing workflows

Tools for deploying models into production

Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.

Built-in controls to mitigate compliance and audit risk with user activity tracking

Technical Manager

NVIDIA RAPIDS 2022-01-22 10:45:58

CTO (Chief Technical Officer)

NVIDIA RAPIDS 2021-12-09 02:45:14

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Not flexible

Cost effective

Load data

Execution time

Easy deployment

Easy to use

Support team

Data science

Open source

Training time

Home

Data Science Platforms

My experience has been phenomenal I am a fully satisfied customer. The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analysis pipelines on GPUs. This tool also focuses on common data preparation tasks for analytics and data science which accelerate our Python data science toolchain with minimal code changes and no new tools to learn. The support is great in all aspects.

Increases machine learning model accuracy by iterating on models faster and easy deployment frequently.
Easy to use and maintain.
Great support team.
Improves our productivity with near-interactive data science.

Its not flexible and cost effective for all sizes of organizations.
I appreciate it has hassle-free integration.

Hassle free integration.
Top model accuracy.
Reduce training time.

NVIDIA RAPIDS helps us create an integrated pipeline process to monitor, design, and deploy deep learning models internally and externally. It is also easy to deploy our services on-premises in our customer's datacenters. The integrated visualization "area" is excellent for instantly running and using detailed data. NVIDIA RAPIDS allows us to be focused on creating value for our customers, avoiding reinventing the wheel.

Visualization
Deep learning pipeline
State of the art libraries

Efficient way to complete tasks
De-facto GPUs standard

NVIDIA RAPIDS

Overview

What is NVIDIA RAPIDS?