Continuous Spark ML and Tensorflow AI Model Training and Deployment Across Hybrid Cloud Environments
In this completely demo-based talk, Chris Fregly from PipelineAI will demo the latest 100% open source research in high-scale, fault-tolerant Spark ML and Tensorflow AI Model Training and Serving across a Hybrid AWS, Google, and Azure deployment environment.
All demos will use 100% open source tools including Jupyter Notebook, Docker, Kubernetes, Airflow, Spark, Tensorflow, and NetflixOSS Microservices.
Chris will focus on continuous ML/AI model deployment, auto-scaling within a cloud environment, and "auto-shifting" between cloud environments for eXtreme High Availability (XHA) and cost-savings.
Everything will originate from a single Jupyter Notebook. All code is 100% open source and available here: https://github.com/fluxcapacitor/pipeline. All Docker images are available here: https://hub.docker.com/u/fluxcapacitor/
This talk will be one of a kind as there nobody else in the world is doing this type of advanced ML/AI deployment strategy. And we'll do it live on stage!
Author of Effective Spark. Former Netflix Streaming Big Data Platform Engineer
|Your Review / Feedback :|
|Your Company :|