How to Work with Data Exceeding VRAM in the Polars GPU Engine – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-23T01:19:04Z 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)...

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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