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Train with Terabyte-Scale Datasets on a Single NVIDIA Grace Hopper Superchip Using XGBoost 3.0

Gradient-boosted decision trees (GBDTs) power everything from real-time fraud filters to petabyte-scale demand forecasts. XGBoost open source library has long…

Gradient-boosted decision trees (GBDTs) power everything from real-time fraud filters to petabyte-scale demand forecasts. XGBoost open source library has long been the tool of choice thanks to state-of-the-art accuracy, SHAP-ready explainability, and flexibility to run on laptops, multi-GPU nodes, or Spark clusters. XGBoost version 3.0 was developed with scalability as its north star.

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