When working with large datasets, the performance of your data processing tools becomes critical. Polars, an open-source library for data manipulation known for...
Efficient ETL with Polars and Apache Spark on NVIDIA Grace CPU
The NVIDIA Grace CPU Superchip delivers outstanding performance and best-in-class energy efficiency for CPU workloads in the data center and in the cloud. The...
Upcoming Webinar: Inside the RAPIDS-Accelerated Polars GPU Engine
In the webinar on January 28th, you'll get an inside look of the new GPU engine to learn how Polars' declarative API and query optimizer enable seamless GPU...
NVIDIA RAPIDS 24.10 Introduces Accelerated NetworkX with Zero Code Change, Updates for UMAP and cuDF-Pandas
The RAPIDS v24.10 release takes another step forward in bringing accelerated computing to data scientists and developers with a seamless user experience. This...
NVIDIA CUDA-X Now Accelerates the Polars Data Processing Library
Polars, one of the fastest-growing data analytics tools, has just crossed 9M monthly downloads. As a modern DataFrame library, it is designed for efficiently...
