Local LLM deployments with LM Studio

LM Studio has become my default recommendation for clients who need local inference: it encapsulates the complexity of GPU drivers, offers an OpenAI-compatible API and runs on a laptop with 32 GB of RAM. My job is to close the gap between "runs in the GUI" and "runs in production".

Typical engagements include: choosing the right quantised model for the use case, building a lean RAG layer around local documents, wiring the LM Studio API into existing dashboards and monitoring drift over time. The result is always the same — capable AI without any cloud dependency.