NVIDIA: Inside the RAPIDS-Accelerated Polars GPU Engine
Please register here: https://2ly.link/23IQb
Organizations in every industry are facing increasingly complex data processing challenges—from analyzing high volumes of financial transactions to managing intricate inventory systems. Businesses need capabilities that can handle these demands with speed and efficiency.
Polars is an established high-performance data manipulation tool, leveraging multi-threaded execution, advanced memory optimizations, and lazy evaluation. To push performance even further, the Polars team has joined forces with NVIDIA to integrate cuDF, a GPU-accelerated DataFrame library from the RAPIDS suite of CUDA-X libraries. This integration is pushing data processing to new heights, boosting performance up to 13x compared to Polars on CPU alone.
In this webinar we'll go behind the scenes of the new GPU engine to see how Polars' declarative API and query optimizer enable seamless GPU acceleration.
Join our webinar to:
Discover how the Polars GPU engine accelerates workflows compared to CPU-only operations
Learn how to use GPU acceleration without changing your existing code, maintaining full compatibility with Polars’ ecosystem
Explore a solution designed for datasets that are too large for traditional tools but don’t require the complexity of distributed systems
See the Polars GPU engine in action with a short demo showcasing its capabilities on RAPIDS cuDF
Take part in the live Q&A and get your questions answered by the experts
By filling out the form, you agree to share your data with our partner, NVIDIA. Your information will be handled in accordance with NVIDIA's Privacy Policy.
Please register here: https://2ly.link/23IQb