Inria’s Ebiose project is pioneering a decentralized AI factory concept, where AI agents collaboratively design, test, and improve each other. Addressing the significant computational requirements of this evolutionary model, Ebiose is investigating a peer-to-peer inference grid, drawing inspiration from distributed computing projects like Folding@home. The aim is to leverage the untapped processing power of community-owned machines to run local Large Language Models (LLMs). Key components include a lightweight client, automated hardware profiling, dynamic LoRA adapters, and robust batch and prompt caching. Ebiose is actively soliciting feedback from the LocalLLaMA community, particularly regarding optimal inference backends (e.g., llama.cpp, vLLM, zml) and efficient task orchestration methods. The project’s development and community engagement are being tracked on platforms like Reddit (as highlighted by user /u/ModeSquare8129).