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.

翻译：人工智能需要大量的存储和计算资源，这些资源通常存储在AI中心中。AI中心对AI的民主化做出了重要贡献。然而，现有实现方式因底层基础设施和治理体系的不同而存在特定优势与局限。这些局限包括成本高昂、缺乏盈利与激励机制、控制权不足以及可复现性困难。本项研究探索了去中心化技术——如Web3钱包、点对点市场、存储与计算系统以及去中心化自治组织（DAO）——在解决上述问题中的潜力。我们认为，这些基础设施组件可协同应用于去中心化AI中心的设计与构建中。