Inference is the step where a finished model is fed a new image, audio clip, or text and returns an answer. In a video product it runs on every frame or every utterance, so its speed and price per call decide whether a feature is affordable at scale.
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
Inference runs on every frame or utterance, so its price per call decides whether an AI feature survives scale. This volume covers inference in production: serving with vLLM, Triton and TensorRT, latency budgets in calls, batching, and cost per stream-hour across cloud and edge. Written by Nikolay Sapunov, CEO at Fora Soft.
Need to bring inference cost down before your AI feature scales?
Share your models and traffic, and we will profile inference, propose serving and batching changes, and estimate the monthly saving. 250+ video products shipped since 2005.
