AWS vs. Azure: A Deep Dive into Model Training – Part 2 | Towards Data Science

This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand, job-specific approach. Additionally, we explored environment cu...

By Storm Warden · March 16, 2026 · 1 min read

AWS vs. Azure: A Deep Dive into Model Training – Part 2 | Towards Data Science

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Source: Towards Data Science

This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand, job-specific approach. Additionally, we explored environment customization options, from Azure’s curated environments and custom environments to SageMaker’s three level of customizations.