NVIDIA RAPIDS AI
December 12, 2021

NVIDIA RAPIDS AI

Mauro Bennici | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with NVIDIA RAPIDS

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
  • GPU restart failure is a tricky bug
  • Efficient way to complete tasks
  • De-facto GPUs standard

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 is great for integrated and planned machine learning and deep learning journey. It is excellent if you have big data with defined processes to be improved and monitored. It is less effective if the project is continuously changed and the data are to be prepared and cleaned a lot and [in] many different ways.

NVIDIA RAPIDS Feature Ratings

Connect to Multiple Data Sources
9
Extend Existing Data Sources
10
Automatic Data Format Detection
9
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
6
Data Transformations
10
Built-in Processors
10
Automated Machine Learning
10
Single platform for multiple model development
10
Flexible Model Publishing Options
10