AWS vs. Azure: A Deep Dive into Model Training – Part 2
Towards Data Science
by Destin GongFebruary 4, 2026
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.
The post AWS vs. Azure: A Deep Dive into Model Training – Part 2 appeared first on Towards Data Science.
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Originally published on Towards Data Science on 2/4/2026