Reusable Computational Patterns for Machine Learning and Information Retrieval with RAPIDS RAFT – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-31T20:50:22Z http://www.open-lab.net/blog/feed/ Corey Nolet <![CDATA[Reusable Computational Patterns for Machine Learning and Information Retrieval with RAPIDS RAFT]]> http://www.open-lab.net/blog/?p=62315 2023-10-13T05:52:25Z 2023-03-22T15:00:00Z RAPIDS is a suite of accelerated libraries for data science and machine learning on GPUs: cuDF for pandas-like data structures cuGraph for graph data cuML for...]]> RAPIDS is a suite of accelerated libraries for data science and machine learning on GPUs: cuDF for pandas-like data structures cuGraph for graph data cuML for...Computer art of squares on a dark background, with light coming from one side.

RAPIDS is a suite of accelerated libraries for data science and machine learning on GPUs: In many data analytics and machine learning algorithms, computational bottlenecks tend to come from a small subset of steps that dominate the end-to-end performance. Reusable solutions for these steps often require low-level primitives that are non-trivial and time-consuming to write well.

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