April 13, 2024, 11:18 p.m. | Atsushi Suzuki

DEV Community dev.to

Previously, I used AWS SageMaker Studio for model training in my work. However, when I received a generous $10,000 credit from Google Cloud for Startups, I decided to transition our training environment to Vertex AI Workbench.


This article explores the usability differences between SageMaker and Vertex AI and documents our migration process.





Building the Model Training Environment





Creating the Dockerfile


In SageMaker, application code was not included in the container image. Instead, we used dependencies to load external code and …

ai article aws aws sagemaker cloud credit differences environment gcp google google cloud googlecloud however machinelearning sagemaker startups studio training transition usability vertex work

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