This document discusses GPars Remoting, which allows for remote concurrency and parallelism using GPars. GPars already enables concurrency on a single JVM using actors, dataflow, data parallelism and CSP. Thanks to a Google Summer of Code student, GPars can now also realize remote objects using Netty to enable distributed concurrent applications. The document discusses how this capability could be applied to services, microservices and big data problems, and compares local vs remote concurrency models. Code examples are promised but not included.