Jiaming Yuan

Jiaming Yuan is a software engineer at NVIDIA.
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Posts by Jiaming Yuan

Data Science

Training XGBoost Models with GPU-Accelerated Polars DataFrames

One of the many strengths of the PyData ecosystem is interoperability, which enables seamlessly moving data between libraries that specialize in exploratory... 7 MIN READ
Data Science

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... 7 MIN READ
Data Science

Accelerating XGBoost on GPU Clusters with Dask

In XGBoost 1.0, we introduced a new official Dask interface to support efficient distributed training.  Fast-forwarding to XGBoost 1.4, the interface is... 11 MIN READ