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  5. Throughput vs Latency
Inference & Deployment

Throughput vs Latency

The fundamental trade-off where batching increases total throughput but can increase per-request latency.

Ask Melo about this← all terms

The fundamental trade-off in inference serving: batching more requests increases total tokens processed per second (throughput) but can increase wait time for individual requests (latency).

Related terms

BatchingTokens Per SecondTime to First TokenContinuous BatchingInference OptimizationConstrained Decoding

Where Throughput vs Latency comes up

  • Gemma 4 E2B at 108,000 Tokens per Second: What Google Claims Gemini 4 Argon Did