It's not trivial, but it's certainly possible. <Un-named IC customer> has been doing level 1 image formation processing for decades using shared memory across a network. They're even doing it in Kubernetes now utilizing libraries from Sandia National Laboratories that use a volume mount of an in-memory filesystem to running containers so you can scale your compute cluster up and down as your memory load varies. This basic setup is powering the entire US geointelligence enterprise. They call it the Tumbo Framework. There's a press release alluding to it here: https://www.sandia.gov/news/publications/labnews/articles/20...