Accelerated Data Analytics: Faster Time Series Analysis with RAPIDS cuDF – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-19T17:46:03Z http://www.open-lab.net/blog/feed/ Prachi Goel <![CDATA[Accelerated Data Analytics: Faster Time Series Analysis with RAPIDS cuDF]]> http://www.open-lab.net/blog/?p=61790 2024-05-15T16:10:39Z 2023-03-14T14:00:00Z This post is part of a series on accelerated data analytics. [stextbox id="info"]Update: The below blog describes how to use GPU-only RAPIDS cuDF, which...]]> This post is part of a series on accelerated data analytics. [stextbox id="info"]Update: The below blog describes how to use GPU-only RAPIDS cuDF, which...Abstract bar graph

This post is part of a series on accelerated data analytics. Update: The below blog describes how to use GPU-only RAPIDS cuDF, which requires code changes. RAPIDS cuDF now has a CPU/GPU interoperability (cudf.pandas) that speeds up pandas code by up to 150x with zero code changes. At GTC 2024, NVIDIA announced that the cudf.pandas library is now GA. At Google I/O��

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