Rock, founder of the DePIN & AI project Network3, announced plans to launch a new local Large Language Model (LLM) feature set to significantly enhance the efficiency and performance of Edge AI technology at the R3al World DePIN Summit during TOKEN2049 Singapore on September 16.
Rock emphasized that although edge AI has been deeply integrated into people’s daily life, its complexity and importance are often overlooked. For example, the ability of smartphones to complete data processing tasks overnight demonstrates the potential of edge devices to efficiently perform computations using idle resources. With the introduction of the new local LLM feature, Network3 will greatly optimize the ability of smart devices to compute efficiently during idle times, particularly when performing local inference and processing without relying on cloud computing. This not only drastically reduces bandwidth consumption but also improves data security and privacy protection.
Network3 plans to provide robust support and vast resources for Edge AI by leveraging idle edge devices worldwide. The upcoming local LLM feature will enable users to enjoy AI chatbot services seamlessly on mobile devices, without the need for expensive cloud infrastructure. Moreover, users can earn tokens by interacting with the model and customize algorithms to meet their individual needs, enhancing personalization. According to Network3, the beta version is scheduled for release in October, allowing users to download and experience it through the official website.
Network3 is building an AI Layer2 designed to help AI developers worldwide perform large-scale inference, training, or validation of models efficiently, conveniently, and cost-effectively. It has raised USD 5.5 million in pre-seed and seed rounds, and the next funding round already started, with several leading institutions confirming their participation.
Source: https://x.com/network3_ai/status/1835981229138891224
