Token usage elasticity refers to how AI model consumption scales with demand, allowing systems to dynamically adjust compute resources. It optimizes costs by allocating tokens during peak loads and conserving them during lulls. Developers and enterprises benefit from predictable budgeting, while end-users enjoy responsive, uninterrupted service without overpaying for idle capacity.
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