AWS vs. Azure: A Deep Dive into Model Training – Part 2

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 custom…