Throughput counts how many items a pipeline can process each second across all users. Serving stacks raise it by batching many requests together, which lifts total volume but can add delay to any single request — the classic latency-versus-throughput trade.
The book · Volume 7 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Real-Time Pipelines and Agents to Serving, Cost, Compliance, and Verticals
Throughput is what decides how many GPUs a video AI feature needs, and pushing it with batching quietly adds latency to every request. Volume 7 covers throughput in detail within serving: vLLM, Triton and TensorRT, batching, the latency versus throughput trade, capacity planning and cost per stream-hour. Written by Nikolay Sapunov, CEO at Fora Soft.
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