Faster training time to improve data science productivity. Intuitive GUI.
My experience has been phenomenal I am a fully satisfied customer. The RAPIDS suite of software libraries, built on CUDA-X AI, gives you …
Overview
What is NVIDIA RAPIDS?
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…
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What is NVIDIA RAPIDS?
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.
Entry-level set up fee?
- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
Using NVIDIA RAPIDS to Accelerate AI Training in CDP Hybrid Cloud
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Product Details
- About
- Tech Details
What is NVIDIA RAPIDS?
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.
NVIDIA RAPIDS Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
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Reviews and Ratings
(4)Reviews
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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.
90%
9.0
90%
9.0
90%
9.0
90%
9.0
90%
9.0
- 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.
December 12, 2021
NVIDIA RAPIDS AI
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
93.33333333333334%
9.3
100%
10.0
86.66666666666666%
8.7
100%
10.0
100%
10.0
- Efficient way to complete tasks
- De-facto GPUs standard