Ollama provides an efficient solution for running large language models (LLMs) and other open-source models locally, offering developers enhanced control, privacy, and cost-efficiency compared to cloud-based options. By utilizing Clarifai Local Runners, these locally operated models can be exposed via a public API, allowing seamless integration with cloud-based projects without the need to upload models to the cloud. This approach enables local models to function as if they are hosted on Clarifai, with secure routing that connects requests to the local machine for processing. The process involves installing Clarifai's Python SDK, setting up the local Ollama model, and using Clarifai Local Runners to generate a public endpoint, making the model accessible globally while still operating on local hardware. This setup provides flexibility in development, allowing for fast iteration, debugging, and use of private data while maintaining the advantages of local execution combined with the accessibility of a managed API.