Devin Robison

Devin Robison is a data scientist at NVIDIA, and a member of the RAPIDS team. His current interests include ML/DL applications in NLP and reinforcement learning, distributed computing, and systems architecture. Prior to joining NVIDIA, Devin spent almost four years at Oracle working on an object storage service framework; before that he spent a number of years in Linux system software and driver engineering. He holds an MA in computational engineering and science from the University of Utah, BAs in mathematics and computer engineering from the University of Tennessee - Knoxville, and is in process of finishing a MA in data science from the University of California - Berkeley.

Posts by Devin Robison

Data Science

Scaling-out RAPIDS cuML and XGBoost with Dask on Google Kubernetes Engine (GKE)

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. 14 MIN READ