Inference token throughput measures how many tokens a large language model generates per second during real-time use. It directly impacts application responsiveness and cost efficiency. Developers use it to optimize model deployment, while end-users benefit from faster, smoother interactions. Cloud providers and AI engineers rely on this metric to balance performance, latency, and operational expenses.
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