Scaling XGBoost Performance with RAPIDS cuML, Dask, and Google Kubernetes Engine (GKE)

Originally published at: Scaling XGBoost Performance with RAPIDS cuML, Dask, and Google Kubernetes Engine (GKE) | NVIDIA Developer Blog

RAPIDS cuML provides scalable, GPU-accelerated machine learning models with a Python interface based on the scikit-learn API. This guide will walk through how to easily train cuML models on multi-node, multi-GPU (MNMG) clusters managed by Google’s Kubernetes Engine (GKE) platform. We will examine a subset of the available MNMG algorithms, illustrate their use of leveraging…