Quantization replaces high-precision numbers with smaller ones — for example 16-bit to 8-bit or 4-bit — cutting VRAM and speeding inference. It is the main way to fit larger models onto smaller GPUs and edge devices; aggressive levels trade some accuracy.
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
Quantization is how a model fits a smaller GPU or edge box, and too aggressive a level shows up as accuracy loss on hard cases. This volume covers quantization in production: distillation and quantization for edge video AI, TensorRT and vLLM serving, latency budgets, and cost per stream-hour. Written by Nikolay Sapunov, CEO at Fora Soft.
Planning quantization to cut serving cost without losing accuracy?
Tell us the model and target hardware, and we will test quantization levels and report speed, memory and accuracy for each. 250+ video products shipped since 2005.
