For me, I was doing a lot of development around infrastructure automation, and prior to that large healthcare datasets. While I also deploy to cloud and other r

For me, I was doing a lot of development around infrastructure automation, and prior to that large healthcare datasets. While I also deploy to cloud and other resources, having a lot of things local reduced my latency a lot (and to be clear, my work subsidized about $10K of this). The more direct answer to your question - keep on chugging along with multiple VMs running, notable Docker workloads, and such, so more the breadth of things simultaneously, rather than raw speed for any one thing.