Mesh LLM: distributed AI computing on iroh by Rae McKelveyWhen people picture running a large language model, they picture a data center. Racks of GPUs that belong to someone else, a metered API, and a bill that grows every month you succeed. You send your prompts off to a black box and hope the price, the model, and the privacy policy all stay the way they were when you signed up. For a lot of teams that is a bad trade. You give up control over when models change, where your data goes, and what hardware runs your workloads. And as usage grows, so does the bill, with no lever to pull except "p