Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Chris Fregly

Chris Fregly
Developer Advocate, AI and Machine Learning, Amazon Web Services

Website | @cfregly

Chris Fregly is a senior developer advocate focused on AI and machine learning at Amazon Web Services (AWS). Chris shares knowledge with fellow developers and data scientists through his Advanced Kubeflow AI Meetup and regularly speaks at AI and ML conferences across the globe. Previously, Chris was a founder at PipelineAI, where he worked with many startups and enterprises to deploy machine learning pipelines using many open source and AWS products including Kubeflow, Amazon EKS, and Amazon SageMaker.

Sessions

2:00pm–2:40pm Thursday, 09/13/2018
Building a high-performance model serving engine from scratch using Kubernetes, GPUs, Docker, Istio, and TensorFlow
Location: Expo Hall Level: Intermediate
Secondary topics:  Model lifecycle management
Chris Fregly (Amazon Web Services)
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Chris Fregly details a full-featured, open source end-to-end TensorFlow model training and deployment system, using the latest advancements with Kubernetes, TensorFlow, and GPUs. Read more.