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Monday, March 6 • 1:00pm - 1:30pm
Deploying and Scaling Spark ML and Tensorflow AI Models

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In this talk, I will train, deploy, and scale Spark ML and Tensorflow AI Models in a distributed, hybrid-cloud and on-premise production environment. I will use 100% open source tools including Tensorflow, Spark ML, Jupyter Notebook, Docker, Kubernetes, and NetflixOSS Microservices. This talk discusses the trade-offs of mutable vs. immutable model deployments, on-the-fly JVM byte-code generation, global request batching, miroservice circuit breakers, and dynamic cluster scaling - all from within a Jupyter notebook. All code and docker images are 100% open source and available from Github and DockerHub at http://pipeline.io.

Speakers
avatar for Chris Fregly

Chris Fregly

Research Scientist, PipelineAI
Chris Fregly is a Research Scientist at PipelineIO - a Machine Learning and Artificial Intelligence Startup in San Francisco. | | Chris is an Apache Spark Contributor, Netflix Open Source Committer, Founder of the Advanced Spark and TensorFlow Meetup, Author of the upcoming book, Advanced Spark, and Creator of the upcoming O'Reilly video series, Deploying and Scaling Distributed TensorFlow in Production. | | Previously, Chris was a... Read More →


Monday March 6, 2017 1:00pm - 1:30pm
Pearl

Attendees (8)