Unlocking Multi-GPU Model Training with Dask XGBoost – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-22T17:56:55Z http://www.open-lab.net/blog/feed/ Jiwei Liu <![CDATA[Unlocking Multi-GPU Model Training with Dask XGBoost]]> http://www.open-lab.net/blog/?p=70261 2023-09-07T18:30:59Z 2023-09-07T17:09:18Z As data scientists, we often face the challenging task of training large models on huge datasets. One commonly used tool, XGBoost, is a robust and efficient...]]> As data scientists, we often face the challenging task of training large models on huge datasets. One commonly used tool, XGBoost, is a robust and efficient...A diagram representing multi-GPU training.

As data scientists, we often face the challenging task of training large models on huge datasets. One commonly used tool, XGBoost, is a robust and efficient gradient-boosting framework that��s been widely adopted due to its speed and performance for large tabular data. Using multiple GPUs should theoretically provide a significant boost in computational power, resulting in faster model��

Source

]]>
1
���˳���97caoporen����