Real-Time AI Latency Budget Worksheet

One-page planner: the fixed pipeline stages with their typical millisecond costs (capture, codec, network, relay/SFU, jitter buffer, decode, render), the AI-inference reference numbers (on-device segmentation, streaming ASR, streaming TTS, voice-to-voice), the speed-of-light geography tax (~10 ms RTT per 1,000 km), the ITU-T G.114 perception zones, and the on-device / edge / cloud placement rule.

Download free PDF
Book cover: AI for Video, Volume 7 of the Fora Soft Video Engineering Handbook

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

This real-time AI latency budget worksheet lists fixed pipeline stage costs, AI inference reference numbers, the geography tax and the ITU-T G.114 perception zones in one planner. Volume 7 covers this topic in depth: call latency and where AI fits in a WebRTC pipeline, live captions and translation, serving with vLLM, Triton and TensorRT, and cost per stream-hour. Written by Nikolay Sapunov, CEO at Fora Soft.

Read it on Amazon →Kindle & paperback · Fora Soft Video Engineering Handbook

Need your real-time AI feature to fit inside a conversational latency budget?

Share your pipeline and regions, and we will build the latency budget with you and point to the stages worth optimizing first. 250+ video products shipped since 2005.

Book a 30-min call →WhatsApp →Email us →