A practical search for cheaper private open-source LLM hosting
An AI product is currently being built with APIs through OpenRouter, but the next goal is to run an inside a private production setup. The main reason is control: owning the full stack behind the product instead of depending fully on outside APIs. Another goal is to fine-tune the model for a specific use case.
The constraint is practical experience, not theory: the team does not want to get stuck managing CUDA or s details. The need is a low-cost, reliable, path that is simple enough for someone who is not an AI engineer.
Key points
- The current product uses APIs from OpenRouter.
- The goal is to deploy an in a private production environment.
- The reasons are full stack control and for a specific use case.
- The desired path avoids deep CUDA and s setup work.
- The practical question is which platform is affordable, good enough, and simple to operate.