Show HN: Lumabri – Run large AI models across your computers and servers.Pure C (github.com)

Lumabri has introduced a new private inference service that allows users to run large AI models across their own computers and servers, optimizing memory use and workload distribution. Built using C, Lumabri leverages Colibri technology, enabling multiple computers to collaborate on executing AI models without each requiring a complete copy of the model. Instead, it loads only the necessary layers and shared states, facilitating model execution that scales across available resources. Users can monitor their system, manage memory allocations, and initiate chat sessions through a terminal interface or a simple web interface. This announcement is significant for the AI/ML community as it opens up new possibilities for decentralized AI processing, allowing for the efficient use of available hardware across networks. Users can run complex models that surpass individual machine limitations while managing RAM usage and ensuring seamless communication between computers. Lumabri's architecture addresses critical challenges such as performance and runtime management while promoting shared resource use, making it an exciting development for researchers and developers looking to leverage distributed computing for AI workloads.