AWS Open Source Blog

Chris Fregly

Author: Chris Fregly

Chris is a Principal Specialist Solution Architect for AI and machine learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O'Reilly Book, "Data Science on AWS." Chris is also the Founder of many global meetups focused on Apache Spark, TensorFlow, Ray, and KubeFlow. He regularly speaks at AI and machine learning conferences across the world including O’Reilly AI, Open Data Science Conference, and Big Data Spain.

Scaling AI and Machine Learning Workloads with Ray on AWS

Scaling AI and Machine Learning Workloads with Ray on AWS

by Chris Fregly, Antje Barth, Daniel Yeo, Apoorva Kulkarni, Patrick Ames, Simon Zamarin, and Yiqin(Miranda) Zhu on in Amazon SageMaker Permalink Share

Learn how AWS contributes to the scalability and operational efficiency of open source Ray and how AWS customers use Ray with AWS-managed services for secure, scalable, and enterprise-ready workloads across the entire data processing and AI/ML pipeline.

Kubeflow logo surrounded by AWS logos

Enterprise-ready Kubeflow: Securing and scaling AI and machine learning pipelines with AWS

NOTE: Since this blog post was written, much about Kubeflow has changed. While we are leaving it up for historical reference, more accurate information about Kubeflow on AWS can be found here. Many AWS customers are building AI and machine learning pipelines on top of Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow across many […]