If AI inference continues to be monopolized by a few cloud providers, then so-called decentralized applications essentially still rely on centralized brains.
@inference_labs' emergence changes exactly this. It reshapes the organization of AI computing power within encrypted networks.
In traditional models, model inference is concentrated and provided by a few cloud service providers, with prices and transparency determined by the platform.
Inference Labs offers inference services through a decentralized node network and uses verifiable execution to constrain node behavior, allowing any participant providing computing power to enter the market, while enabling users to verify that the computations they purchase are genuine and valid.
This structure transforms AI inference from closed cloud services into an open market, meaning lower lock-in risks for developers, higher reliability for applications, and truly providing a practical economic foundation for decentralized AI.
@KaitoAI #Yap @easydotfunX
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If AI inference continues to be monopolized by a few cloud providers, then so-called decentralized applications essentially still rely on centralized brains.
@inference_labs' emergence changes exactly this. It reshapes the organization of AI computing power within encrypted networks.
In traditional models, model inference is concentrated and provided by a few cloud service providers, with prices and transparency determined by the platform.
Inference Labs offers inference services through a decentralized node network and uses verifiable execution to constrain node behavior, allowing any participant providing computing power to enter the market, while enabling users to verify that the computations they purchase are genuine and valid.
This structure transforms AI inference from closed cloud services into an open market, meaning lower lock-in risks for developers, higher reliability for applications, and truly providing a practical economic foundation for decentralized AI.
@KaitoAI #Yap @easydotfunX