Mesh LLM Turns Idle Nvidia GPUs Into a Decentralized AI Compute Network

Mesh LLM, an open-source project backed by Jack Dorsey, is aggregating idle Nvidia GPUs into a peer-to-peer network that supports distributed inference for large language models. Alongside that core capability, the project provides an OpenAI-compatible API, so developers can use the network as a direct replacement for cloud-hosted models. The project's reasoning pipeline is called Skippy. It splits a model into partitions and distributes those partitions across multiple nodes. In a local-area network, the setup processes a 235-billion-parameter model at roughly 16 tokens per second. For contribution, Meshtrain acts as the incentive layer and issues MeshCoin rewards to nodes that provide compute capacity. Block's Buzz app has already integrated the network. The design keeps data from passing through an external data center, meaning the flow stays within the network rather than going out to a centralized facility. By using the OpenAI-compatible surface, developers can point existing applications at Mesh LLM instead of a cloud endpoint. Techub News relayed the details from CryptoBriefing.