Well, that's a definition question :) You're dead on -- proper "Server" solutions, like we see in architecture diagrams or on back-end tiers, are generally ins

Well, that's a definition question :) You're dead on -- proper "Server" solutions, like we see in architecture diagrams or on back-end tiers, are generally insensitive to startup times. As a rule they're spooled up before being connected to the larger app, or are 'the app' itself and have load balancing or operational pauses to mitigate up-time effects (where necessary). In 2020, though, as people are working with microservices and containerized server deployments you end up with a lot of 'servers' where 'apps' used to be. Particularly for focused web apps initial startup time can be a major issue in a shared environment. That's where NGEN or AOT can come into play to happily minimize startup time and memory demands. Parallel computing and number crunching loads can also benefit if you're looking at lots of short lived servers, or a domain that challenges the compiler for whatever reason.