b4rtaz/distributed-llama

The project splits large language model processing across multiple local machines to increase throughput during inference runs. It relies on C++ code to manage the coordination between these separate hardware units. The author claims that adding more devices to the group directly improves processing speed. No independent verification exists for the specific performance gains described in the repository documentation. Users install the software on several personal computers intended to form a computing cluster. They must compile the C++ source code before the system can communicate between the designated nodes. The documentation outlines the necessary steps for building the application and running basic examples. This setup requires operating multiple hardware units to maintain the distributed network structure effectively. Inspect the repository activity to assess the current maintenance status of the codebase. The platform records indicate 3061 stars and 251 forks associated with the project. The initial release appeared on 4 December 2023. An approved discovery source surfaced the item on 26 September 2026. Reviewers should verify compatibility with existing hardware before committing resources.