Learn how to accelerate data processing using the Polars GPU engine in this 19-minute tutorial that demonstrates processing massive datasets at lightning speed. Explore the integration of RAPIDS cuDF with Polars' OLAP Query Engine, enabling up to 10x faster performance through NVIDIA GPUs. Master the simple process of switching to GPU acceleration by just adding engine="gpu" to the collect operation in the Polars Lazy API, without requiring code rewrites. Follow along with provided GitHub and Colab notebooks to understand how to make processing 10-100+ GB datasets feel interactive using a single GPU, and discover practical implementations that showcase the seamless transition between CPU and GPU operations for enhanced data processing capabilities.
Overview
Syllabus
Processing 100+ GBs Of Data In Seconds Using Polars GPU Engine
Taught by
Krish Naik
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