NVIDIA RAPIDS

NVIDIA RAPIDS

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Score 10.0 out of 100
NVIDIA RAPIDS

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Recent Reviews

NVIDIA RAPIDS AI

10
December 12, 2021
NVIDIA RAPIDS helps us create an integrated pipeline process to monitor, design, and deploy deep learning models internally and …

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What is NVIDIA RAPIDS?

NVIDIA RAPIDS is an open source software library for data science and analytics performed across GPUs.

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  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Product Details

What is NVIDIA RAPIDS?

NVIDIA RAPIDS is an open source software library for data science and analytics performed across GPUs.

NVIDIA RAPIDS Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

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Reviews and Ratings

 (3)

Reviews

(1-2 of 2)
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Douglas Carter | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
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.
December 12, 2021

NVIDIA RAPIDS AI

Score 10 out of 10
Vetted Review
Verified User
Review Source
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
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.