Jamil Semaan – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-10T18:30:03Z http://www.open-lab.net/blog/feed/ Jamil Semaan <![CDATA[How to Work with Data Exceeding VRAM in the Polars GPU Engine]]> http://www.open-lab.net/blog/?p=102715 2025-07-10T18:30:03Z 2025-06-27T17:00:00Z In high-stakes fields such as quant finance, algorithmic trading, and fraud detection, data practitioners frequently need to process hundreds of gigabytes (GB)...]]>

In high-stakes fields such as quant finance, algorithmic trading, and fraud detection, data practitioners frequently need to process hundreds of gigabytes (GB) of data to make quick, informed decisions. Polars, one of the fastest-growing data processing libraries, meets this need with a GPU engine powered by NVIDIA cuDF that accelerates compute-bound queries that are common in these fields.

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]]> Jamil Semaan <![CDATA[Polars GPU Engine Powered by RAPIDS cuDF Now Available in Open Beta]]> http://www.open-lab.net/blog/?p=89052 2024-12-12T22:32:12Z 2024-09-17T14:00:00Z Today, Polars released a new GPU engine powered by RAPIDS cuDF that accelerates Polars workflows up to 13x on NVIDIA GPUs, allowing data scientists to process...]]>

Today, Polars released a new GPU engine powered by RAPIDS cuDF that accelerates Polars workflows up to 13x on NVIDIA GPUs, allowing data scientists to process hundreds of millions of rows of data in seconds on a single machine. Traditional data processing libraries like pandas are single-threaded and become impractical to use beyond a few million rows of data.

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