The reason distributed GPU networks have not yet succeeded at scale is trust. A developer sending an AI request needs confidence that the node executing it is running the correct model, returning an honest result, and not misreporting energy usage. Without cryptographic guarantees, distributed compute is a leap of faith. FAR AI solves this with a purpose-built security runtime that makes every node’s behavior continuously verifiable not just at setup, but throughout every inference job it runs.Documentation Index
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The Problem