Originally published at: Polars GPU Engine Powered by RAPIDS cuDF Now Available in Open Beta | NVIDIA Technical Blog
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. Growing data challenges Traditional data processing libraries like pandas are single-threaded and become impractical to use…
Super excited about this! Has it been benchmarked against plain CuDF? I’d be curious to see how the three compare because CuDF alone seems to perform similarly over Polars. Is the main benefit the improved interface of the Polars API?