Efficiently Scaling Polars GPU Parquet Reader

Originally published at: Efficiently Scaling Polars GPU Parquet Reader | NVIDIA Technical Blog

When working with large datasets, the performance of your data processing tools becomes critical. Polars, an open-source library for data manipulation known for its speed and efficiency, offers a GPU-accelerated backend powered by cuDF that can significantly boost performance.  However, to fully leverage the power of the Polars GPU backend, it’s essential to optimize the…