| Code With Me: Speed Up Your Polars Code on the GPU |
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| Livestream on July 31, 10 a.m. ET/4 p.m. CEST |
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| Get More Out of Polars at Scale |
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As datasets grow and queries get more complex, workloads can be supported on both CPUs and GPUs while preserving the API developers already use.
Join NVIDIA and Polars on Friday, July 31 at 10 a.m. ET/4 p.m. CEST for a livestream demonstrating where GPU acceleration fits today. Using real stock market data, we’ll show how one engine change can accelerate demanding Polars queries.
By joining this livestream, you’ll learn:
- How to enable GPU execution with .collect(engine="gpu")
- Which group_by, join, sort, and window workloads benefit most
- How to determine CPU and GPU execution based on your data and query
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