Product@SpotInst here. Just fyi, we have customers launch Spark workloads that require 300G RAM and we are able to efficiently deliver this capacity by ensuring that the underlying infrastructure is shared with other pods that are not memory bound. We bin-pack, scale up and down quickly, while allowing you to have warmed-up spare capacity when needed to ensure that your pods/tasks are serviceable immediately.