Agora: Crowdsourced Compute for Internet‑Scale LLM Pretraining
Agora demonstrates that a network of heterogeneous, low‑bandwidth nodes can collectively pre‑train large language models without a centralized datacenter. By blending data‑parallel and model‑parallel pipelines that tolerate failures, it opens a permissionless path to trillion‑parameter models, lowering the barrier for research groups and hobbyists alike.