Ollama is an open-source project that simplifies the process of running and managing large language models. It offers a powerful command-line interface, allowing users to easily integrate it into their workflows and run multiple models on the fly without requiring a daemon restart. Ollama provides access to a wide range of pre-configured models and can be integrated with serverless cloud computing platforms like Modal, which leverages GPU resources for improved performance. To use Ollama on Modal, users need to have an account at modal.com, install the Modal Python package, authenticate with the Modal CLI, and then run a specific command that deploys the Ollama service on Modal and runs an inference with their specified text. The code for Ollama is organized into a systemd service configuration file and a main application code that defines key components such as model and pull functions, creates a Modal image, and encapsulates the Ollama functionality in a class.