Inference allows a trained AI model to apply its knowledge to new, unseen data, transforming raw inputs into meaningful predictions or decisions

However, centralised inference is challenging due to strict privacy regulations, concerns about exposing data, and the high costs & delays associated with cloud computing

The Ocean C2D framework elegantly bridges this gap by enabling secure, privacy-preserving AI inference. Instead of moving data to the model, Ocean C2D packages the model in an isolated environment and sends it directly to the encrypted data location. Trusted execution nodes process the data on-site, ensuring that neither raw data nor model weights are ever exposed

Smart contracts and datatokens automate permissions and payments to reward node operators & data owners, enabling decentralised inference across borders

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