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  5. Throughput
Infrastructure & Hardware

Throughput

Throughput is the amount of inference or training work completed per unit of time.

Ask Melo about this← all terms

It may be measured in requests, examples, or tokens and usually improves with batching and parallel hardware. Maximizing throughput can increase individual request latency, so serving systems choose an operating tradeoff.

Related terms

Model ServingLatencyBatchingKV CacheCUDA Graph CaptureModel Checkpoint

Where Throughput comes up

  • NVIDIA Rubin NVL72 Hits 67x Throughput-Per-Cost, Beating Own Claims
  • GLM-5.3 Built Its Own Inference Stack. The Real Lesson Is Dense Feedback
  • Fujitsu MONAKA: A "Made-in-Japan" AI CPU That TSMC Fabricates
  • GigaToken: A Rust Tokenizer Claiming ~1000x Faster Than HuggingFace