Any benefit to a multi-machine setup for Local LLMs?

Users have asked whether running multiple machines in parallel provides advantages for larger context handling or faster inference in local large language models. While individual machines can handle larger contexts with sufficient RAM, there is no established advancement enabling significant performance gains from distributing inference across multiple machines for local LLMs.