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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.
The SubQuery Network is an advanced infrastructure layer that underpins this vision. It currently supports decentralized data indexers and RPCs, which are critical components for any developer building decentralized applications . SubQuery has proven itself as a credible alternative to centralized services, offering an open network where anyone can participate as a node operator or delegator.
SubQuery is focused on AI inference, the process of using pre-trained models to make predictions on new data, rather than on model training. “While there are commercial services that offer inference hosting for custom models, few exist within the Web3 space,” James explained. “Our decentralized network is ideally suited for reliable, long-term AI model hosting.”
“Relying on closed-source AI models risks consolidating power in the hands of a few large corporations, creating a cycle that perpetuates their dominance,” James warned. “By running AI inference on a decentralized network, we ensure that no single entity can control or exploit user data. Prompts are distributed across hundreds of node operators, ensuring privacy and supporting an open-source ecosystem.
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