  AI requires heavy amounts of storage and compute with assets that are
commonly stored in AI Hubs. AI Hubs have contributed significantly to the
democratization of AI. However, existing implementations are associated with
certain benefits and limitations that stem from the underlying infrastructure
and governance systems with which they are built. These limitations include
high costs, lack of monetization and reward, lack of control and difficulty of
reproducibility. In the current work, we explore the potential of decentralized
technologies - such as Web3 wallets, peer-to-peer marketplaces, storage and
compute, and DAOs - to address some of these issues. We suggest that these
infrastructural components can be used in combination in the design and
construction of decentralized AI Hubs.
