I'm starting to work with Google Vertex and I had this question regarding the scalability of the endpoints.
When I configure an endpoint I must:
1) set hardware for the training machine (n1-standard-2, for example);
2) set a minimum and maximum number of computer nodes.
Number 1 is mandatory and number 2 is optional (if configured, new nodes will only be instantiated with the configuration defined in item 1).
What is unclear to me is when I should invest in a larger hardware configuration (1) and when I should invest in a larger number of nodes (2).
Does anyone have an idea?