Ollama acts as a bridge between complex machine learning models and user applications, making deployment hassle-free. It's tailored for efficient running and hosting of models, ensuring they remain lightweight and portable. Unlike heavy-duty frameworks, Ollama focuses on simplicity, allowing users to manage model selection and execution smoothly. It's often employed to streamline model integration in applications, contrasting traditional environments where extensive setup and resource allocation might be necessary.