At the Web3 Summit in Berlin, SubQuery made a major announcement, unveiling its newest innovation: decentralized AI inference hosting. In a live demonstration, SubQuery’s COO, James Bayly, showcased how the latest LLama model operates across a fully decentralized network of Node Operators on SubQuery’s internal test network.
Implementing Decentralized AI Technologies
SubQuery aims to empower developers to shape the future through decentralization. The SubQuery Network is an advanced infrastructure layer supporting decentralized data indexers and RPCs, which are critical components for any developer building decentralized applications (dApps).
The Role of AI in Web3
The role of AI in transforming industries, including Web3, has become increasingly clear. SubQuery has been closely monitoring these developments and has been working to bring AI capabilities to its decentralized platform. Bayly noted that the Web3 Summit in Berlin, with its focus on decentralization, was the perfect stage for launching this new capability.
Advantages and Goals
Currently, the market for AI inference is dominated by large centralized cloud providers. SubQuery aims to provide an affordable, open-source alternative for hosting production AI models. James Bayly noted that relying on closed-source AI models risks consolidating power in the hands of large corporations. Running AI inference on a decentralized network ensures privacy and supports an open-source ecosystem.
The SubQuery Network will offer cutting-edge hosting for the latest open-source AI models, enabling scalable and accessible AI services for Web3. By embracing a community-driven approach, SubQuery will support decentralized AI inference at scale, empowering a diverse network of independent Node Operators.
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