Tether launches open framework for decentralized training of large language models on user devices
Tether has unveiled QVAC.fabric LLM, an open-source framework enabling the training of large language models directly on heterogeneous GPUs such as smartphones and laptops in a fully decentralized environment. This marks the beginning of a new era of AI ubiquity, with edge devices running models without reliance on centralized cloud servers.
Source Hugginface
The project aims to build a democratic infrastructure for AI agents that are personalized to individual users and independent from the infrastructure of tech giants. Tether’s solution stands as a strong competitor to systems like Cocoon, unlocking new growth opportunities in the decentralized streaming and AI deployment market.
This development could significantly reshape the AI industry’s future by making AI more accessible and secure, while enabling novel applications that operate locally on user devices without cloud data transfers.
