On September 17th, at the Token2049 R3al World DePIN Summit, Rock Zhang, founder of DePIN & AI project Network3, announced the launch of their new local large language model (LLM) feature, which will significantly enhance the efficiency and performance of edge AI technology.

Rock pointed out that while edge AI has deeply integrated into people's daily lives, its complexity and importance are often overlooked. For example, the ability of smartphones to complete data processing tasks at night showcases the potential of edge devices to efficiently utilize idle resources for computation. With the newly launched local LLM feature, Network3 will significantly optimize the efficient computing power of smart devices during idle time, especially when performing local inference and processing without relying on cloud computing. This not only significantly reduces bandwidth consumption but also enhances data security and privacy protection.

Network3 will provide strong support and massive resources for edge AI by integrating idle edge device resources globally. This upcoming local LLM feature will enable users to seamlessly enjoy AI chat services on mobile devices without relying on expensive cloud computing infrastructure. Additionally, users can earn tokens through interaction with the model, customize and optimize algorithms based on their needs, and enhance personalized experiences. According to Network3, the beta version is planned for release in October, where users can download and experience it through the official website.

It is understood that Network3 builds an AI Layer2 to help global AI developers efficiently, conveniently, and economically perform large-scale inference, training, or validation of models. Earlier news revealed that Network3 has completed a $5.5 million pre-seed and seed round of funding. The next round of funding is already open, with participation from several leading institutions.