How Xoople Scales Python for AI using Anyscale on Azure | LIVE148
Python ai scaling Ray distributed computing Anyscale azure Microsoft build 2026 Ai infrastructure Python distributed systems Machine learning operations Cloud ai platform Production ai workloads Ray on azure
A customer case study from Microsoft Build 2026 where Xoople's VP of Engineering discusses how they scaled Python for AI by migrating from early distributed Python approaches to running production AI workloads with Ray on Azure via Anyscale. The video covers distributed systems challenges in AI, data ingestion, training, inference scaling, and the benefits of managed Ray infrastructure for delivering business value instead of managing clusters.
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