NVIDIA RAPIDS

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
NVIDIA RAPIDS	Score 9.2 out of 10	N/A	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.	N/A

Pricing

NVIDIA RAPIDS

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
NVIDIA RAPIDS
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	NVIDIA RAPIDS
Considered Both Products	NVIDIA RAPIDS Douglas Carter Technical Manager Chose NVIDIA RAPIDS RAPIDS GPU accelerates machine learning to make the entire data science and analytics workflows run faster, also helps build databases and machine learning applications effectively. It also allows faster model deployment and iterations to increase machine learning model … Incentivized Helpful?
Top Pros	Pro Easy deployment Pro Easy to use Pro Support team
Top Cons	Minus Not flexible Minus Cost effective Minus Load data

Features

NVIDIA RAPIDS

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	NVIDIA RAPIDS 9.1 2 Ratings 7% above category average
Connect to Multiple Data Sources	9.62 Ratings
Extend Existing Data Sources	8.82 Ratings
Automatic Data Format Detection	9.02 Ratings
MDM Integration	9.01 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	NVIDIA RAPIDS 9.4 2 Ratings 11% above category average
Visualization	9.42 Ratings
Interactive Data Analysis	9.42 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	NVIDIA RAPIDS 8.9 2 Ratings 8% above category average
Interactive Data Cleaning and Enrichment	7.82 Ratings
Data Transformations	9.42 Ratings
Data Encryption	9.01 Ratings
Built-in Processors	9.42 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	NVIDIA RAPIDS 9.2 2 Ratings 8% above category average
Multiple Model Development Languages and Tools	9.01 Ratings
Automated Machine Learning	9.42 Ratings
Single platform for multiple model development	9.42 Ratings
Self-Service Model Delivery	9.01 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	NVIDIA RAPIDS 9.2 2 Ratings 7% above category average
Flexible Model Publishing Options	9.42 Ratings
Security, Governance, and Cost Controls	9.01 Ratings

User Ratings
	NVIDIA RAPIDS
Likelihood to Recommend	10.0 (2 ratings)

User Testimonials
	NVIDIA RAPIDS
Likelihood to Recommend	NVIDIA NVIDIA RAPIDS drastically improves our productivity with near-interactive data science. And increases machine learning model accuracy by iterating on models faster and deploying them more frequently. It gives us the freedom to execute end-to-end data science and analytics pipelines. Incentivized Douglas Carter Technical Manager Read full review
Pros	NVIDIA Visualization Deep learning pipeline State of the art libraries Incentivized MB Mauro Bennici CTO (Chief Technical Officer) Read full review
Cons	NVIDIA Its not flexible and cost effective for all sizes of organizations. I appreciate it has hassle-free integration. Incentivized Douglas Carter Technical Manager Read full review
Alternatives Considered	NVIDIA RAPIDS GPU accelerates machine learning to make the entire data science and analytics workflows run faster, also helps build databases and machine learning applications effectively. It also allows faster model deployment and iterations to increase machine learning model accuracy. The great value of money. Incentivized Douglas Carter Technical Manager Read full review
Return on Investment	NVIDIA Efficient way to complete tasks De-facto GPUs standard Incentivized MB Mauro Bennici CTO (Chief Technical Officer) Read full review
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