In the article Custom model training & deployment on Google Cloud using Vertex AI in Go we explored how to leverage Go to create a resource pool and train a machine learning model using Vertex AI’s allocated resources. While this approach offers flexibility, there’s a crucial aspect to consider: the cost implications of resource pools.
This article details my experience with a sudden price increase in Vertex AI and the hidden culprit – a seemingly innocuous resource pool.