HomeEventsSeamlessly Scaling your ML Pipelines with Ray Serve

Webinar

Seamlessly Scaling your ML Pipelines with Ray Serve

Ray Serve is an open-source library for serving machine learning models at scale.  In this talk, we will demonstrate some new features of Ray Serve, including (1) an integration with the open-source ML lifecycle management platform MLflow, and (2) an easy way to use Ray Serve to scale up an existing Python web server.

Speakers

Archit Kulkarni

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