Building Ollama Cloud - Scaling Local Inference to the Cloud

The post discusses scaling Ollama, a wrapper around llama.cpp for local inference tasks, from local development to a cloud environment. It explores transitioning from simple local setups to complex distributed cloud systems, emphasizing the role of serverless computing and WebAssembly in managing dependencies and scaling. The Tau framework and its Orbit plugin system simplify deployment and enable seamless integration of Ollama functions as cloud-ready endpoints. The post provides examples and steps to set up and test with Tau, culminating in the deployment of AI applications in production environments.