🚦Hitting performance walls in pandas? We ran 3 example workflows that slowed or crawled on large datasets—then reran the exact same code on GPU with cudf.pandas. TLDR: ✅ 18M rows of stock prices → 20–40x faster with time-based rolling windows ✅ 8GB job postings CSV → up to 30x faster on string ops + merges ✅ 7.3M geospatial points → interactive dashboards that stay interactive Same pandas code. More speed. 🏎️🏁 🔗 Check out the blog for links to Colab demos, and setup guides:
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