LLM Cost Optimisation with Llama

We benchmark quality before and after every optimisation. A saving that quietly degrades output is not a saving, it is a deferred cost.

Llama is strongest at full control, no per-token cost, and viable air-gapped deployment. For llm cost optimisation that matters because the failure modes of this kind of system tend to cluster exactly there.

The honest trade-off: you own the infrastructure, the scaling and the evaluation work that a hosted API absorbs for you. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

We hand over with runbooks, tests and a team that knows how it works, not a dependency.