Bifalgorithm post

Why do developers use Olama but AI companies use VLM? When you are building AI application, there is usually just one user that is you. So running a model locally using Olama is simple and works perfectly. But once your app starts serving thousands of users, the problem changes. You are no longer trying to run a model, you are serving thousands of requests on the same GPU. That is where the VLM comes in. It bashes the request and manages the GPU memory efficiently so one GPU can serve many users efficiently. The model stays same, the infrastructure changes. Olama is built for developers and VLM is built for production.

Why do developers use Olama but AI companies use VLM? When you are building AI application, there is usually just one user that is you. So running a model loca…