Mesh LLM and Iroh combine to decentralize large language model training and inference, addressing the computational and data demands that strain centralized infrastructures. By leveraging modern peer‑to‑peer software architectures, they enable distributed AI workloads across a network of nodes. This approach reduces reliance on single‑point resources and enhances scalability for AI deployments.