I am relatively new to the use of Stan in bayesian modelling, and I am currently working on a fitting a hierarchical model to ecological data in R via rstan. After a few tests the best version of model takes a very long time (~ 1 week) to run fully for about 1000 iterations, as there is a large number of parameters being estimated. This means that for a proper run (which would require potentially 10 times as many iterations) this will take a huge amount of time on my 4 cores computer.
I have been thinking that a way to circumvent this would be to run more chains for fewer iterations in order to obtain a reasonable sample size, and this has led me to the idea of renting a remote online server with many cores on which to run several chains in parallel. I have never done this before, and I have read that it can be rather complicated to set up these machines (e.g. the ones offered by Google or Amazon) properly for someone with limited experience in programming. I was wondering if you have some previous experience with running stan models with R on remote servers and if you have some advice on which would be a sensible option for someone with limited programming experience. Thanks a lot!