The local / self-hosted LLM stack

Running open models yourself for privacy, cost, or control. The stack is a serving runtime, optional fine-tuning, and supporting tooling.

Inference runtime - serve open-weight models efficiently on your hardware.

When not to use: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Fine-tuning - adapt an open model to your domain with LoRA or full fine-tunes.

When not to use: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Tooling & gateways - a unified API in front of your local models.

When not to use: Direct calls are fine for a single local model with one consumer.