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

Azure ML and AWS SageMaker approach compute for model training with fundamentally different philosophies. Azure treats compute as a persistent, shared resource within a workspace, allowing data scientists to easily reuse powerful machines managed by a central team. Conversely, AWS SageMaker spins up new compute instances on-demand for