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An ai inference resource decoupling scheduling method and system based on a two-dimensional orthogonal state space

This invention discloses an AI inference resource decoupling scheduling method and system based on a two-dimensional orthogonal state space. User AI service rights are decomposed into storage rights dimension σ and computing power rights dimension φ, constructing an orthogonal state space S=(σ,φ), where σ and φ change independently and have no causal dependency. Four service modes are derived from the state space: full service, read-only memory, temporary session, and guided recovery. State transitions in the computing power rights dimension are triggered by critical conditions of discrete quota counting: the cost r for a single token generation is defined as the lower limit of physical resources required for a single forward propagation of the model decoder. When the remaining quota Q(t) is less than r, the physical system cannot complete the next calculation, and the state will inevitably transition and terminate the computation flow. State switching is achieved through metadata-level atomic operations, and the execution time is independent of the user data scale. This invention clarifies the inevitability of the technical effect through logical deduction, is applicable to software or hardware-software co-implementation, and solves the problems of resource deadlock, switching latency, and service interruption under subscription systems.
Owner:DONGGUAN INTENT RESONANCE TECHNOLOGY CO LTD