Faster training time to improve data science productivity. Intuitive GUI.
January 23, 2022

Faster training time to improve data science productivity. Intuitive GUI.

Douglas Carter | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with NVIDIA RAPIDS

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.

Pros

  • 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.

Cons

  • 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.
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.

Do you think NVIDIA RAPIDS delivers good value for the price?

Yes

Are you happy with NVIDIA RAPIDS's feature set?

Yes

Did NVIDIA RAPIDS live up to sales and marketing promises?

Yes

Did implementation of NVIDIA RAPIDS go as expected?

Yes

Would you buy NVIDIA RAPIDS again?

Yes

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.

NVIDIA RAPIDS Feature Ratings

9.0
Connect to Multiple Data Sources
10
Extend Existing Data Sources
8
Automatic Data Format Detection
9
MDM Integration
9
9.0
Visualization
9
Interactive Data Analysis
9
9.0
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
9
Built-in Processors
9
9.0
Multiple Model Development Languages and Tools
9
Automated Machine Learning
9
Single platform for multiple model development
9
Self-Service Model Delivery
9
9.0
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
9

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