Running an LLM on your own infrastructure gives you control over the hardware, model serving environment, and data path. For organizations handling sensitive information or operating predictable AI workloads, self-hosted inference can be an attractive alternative to relying entirely on public APIs. But owning GPUs does not automatically mean