Hardware requirements for high performant search on a 200M vector dataset

I am trying to understand how much hardware will I need to store 50M vectors of dimension 1536, projected to reach 200M. I have read HNSW index is stored in memory, will I need as much RAM as the data to do a similarity search?

Interested in knowing this as well - want to know how to size my cluster