Introduction to Ray AIR for Scaling AI/ML and Python Workloads

Introduction to Ray AIR for Scaling AI/ML and Python Workloads

#Introduction #Ray #AIR #Scaling #AIML #Python #Workloads

“San Francisco Bay ACM”

Existing production machine learning systems often suffer from various problems that make them hard to use. For example, data scientists and ML practitioners often spend most of their time-fighting YAMLs and refactoring code to push models to production.

To address this, the Ray community has…

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