Faster training time to improve data science productivity. Intuitive GUI.
Rating: 10 out of 10
IncentivizedUse Cases and Deployment Scope
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.
Likelihood to Recommend
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.
DC
Douglas Carter
Technical Manager in Information Technology at BairesDev (1001-5000 employees)
Vetted Review
2 years of experience