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Glossary · Throughput

Throughput

Throughput is the amount of work a system completes per unit of time — for AI inference, often measured in tokens or requests per second.

Higher throughput means more work done for the same hardware, which lowers cost per result and supports higher-volume AI labor.

Throughput trades off against latency: techniques like batching raise throughput but can increase the time any single request takes.

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Related terms
p95 Latency
p95 latency is the response time below which 95% of requests complete, a tail-latency metric that captures the slow expe…
Batch Inference
Batch inference is the processing of many model requests together in a single run, trading higher latency per request fo…
Concurrency
Concurrency is the number of requests or tasks a system handles at the same time, a key factor in how much load an AI se…
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