Self-driving company here. We're doing on-prem because we have a clear projection on the amount of data we'll need to injest, store and process using GPUs. The

Self-driving company here. We're doing on-prem because we have a clear projection on the amount of data we'll need to injest, store and process using GPUs. The advantages of running things in a cloud are clear -- and as an infrastructure team we have challenges around managing physical assets at scale, however it's clear with the cost of cloud providers that eventually we would have to pull data into a datacenter to survive at some point. Co-location costs are fixed, and it's actually easy to make a phenomenal deal now-a-days given the pressure these companies are under. The real trick of it all is that regardless of running on-prem or in the cloud, we need to run as if everything is cloud native. We run Kubernetes, Docker, and as much as possible automate things to the point that running one of something is the same as running a million of it.