Background

The advancement of AI technology relies heavily on robust AI infrastructure. Traditionally, AI infrastructure involves centralized deployment of computing resources, datasets, and algorithms on servers or cloud platforms. However, this centralized model presents challenges like data privacy risks, scalability limitations, and vendor dependence.

ModelAI emerges as a response to these challenges, aiming to transform AI infrastructure using decentralized technologies like blockchain and token incentives.

By decentralizing AI infrastructure, ModelAI aims to overcome the shortcomings of centralized systems and foster a more open, transparent, and collaborative environment for AI development and deployment. This shift not only promotes innovation