Cloud inference sends video or audio to a provider's servers, runs the model on powerful shared hardware, and returns the result. It removes the burden of owning GPUs but introduces network latency and a recurring bill that grows with usage.
The book · Volume 6 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video
Cloud inference lets you use large GPUs without owning them, but round-trip delay and a bill that grows with usage come with it. Volume 6 covers deployment topologies in detail, with the AI feature lifecycle and model artifacts, so you can decide which models run on cloud inference and which stay closer to the camera. Written by Nikolay Sapunov, CEO at Fora Soft.
Cloud inference bills growing faster than your user base?
We will review your AI workloads and send a plan for what to keep on cloud inference and what to move to the edge, with the cost per stream for each. 250+ video products shipped since 2005.
