Image by Editor   #  The Self-Hosted LLM Problem(s)   "Run your own large language model (LLM)" is the "just start your own business" of 2026. Sounds like a dream: no API costs, no data leaving your servers, full control over the model. Then you actually do it, and reality starts showing up uninvited. The GPU runs out of memory mid-inference. The model hallucinates worse than the hosted version. Latency is embarrassing. Somehow, you've spent three weekends on something that still can't reliably answer basic questions. This article is about what actually happens when you take self-hosted LLMs seriously : not the benchmarks, not the hype, but the real operational friction most tutorials skip entirely. #  The Hardware Reality Check   Most tutorials casually assume you have a beefy GPU lying around.…