Ask HN: Which is your preferred language for ML deployment
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At work I use Scala and it's of course rock-solid, but it feels like a drag to develop and deploy–taking minutes to iteratively develop, and tens of minutes to test and build an assembly jar or Docker image. For a side project I'm using OCaml and greatly enjoying the fast feedback and deploy experience. For parallelization, there's not really much choice than to use multiple processes for now; but in the near future true multicore support will be shipped. Performance is very reasonable–most of my responses are in low milliseconds. Take a look at https://aantron.github.io/dream/
Some options I have in mind are go, rust, ocaml, haskell, erlang/elixir, and scala.
What is your experience in these cases?