Absolutely, you should look at XGBoost, LightGBM, and CatBoost.
XGBoost is the og and the most feature-rich.
LightGBM is the fastest and what I use for my case (millions of rows of data with over 100 features).
CatBoost could be good depending on the nature of your data, for example if you have a lot of categorical types.
EDIT: Alos, they all support GPU training, but I haven't been able to make that faster than just using more CPU cores.