They call tools, reason through workflows, and actually complete tasks.
Then the first real API bill arrives.
For many teams, that’s the moment the question appears:
“Should we just run this ourselves?”
The good news is that self-hosting an LLM is no longer a research project or a massive ML infrastructure effort. With the right model, the right GPU, and a few battle-tested tools, you can run a pr...
