On-Prem AI Server — Sizing Checklist

A one-page checklist to size an edge AI server by streams of the real model, not a spec-sheet TOPS number: the decode-budget-first rule, streams-per-GPU at your resolution, build-vs-appliance choice, failover and growth planning, and the data-residency and biometric-legal checks (GDPR Chapter V, EU AI Act, BIPA).

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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 on-prem AI server sizing checklist counts streams of the real model rather than spec-sheet TOPS, starting from the decode budget, with failover, growth and data-residency checks. Volume 7 covers this topic in depth: serving and infrastructure with Triton and TensorRT, cost per stream-hour, real-time pipelines, and regulation including the EU AI Act and biometrics. Written by Nikolay Sapunov, CEO at Fora Soft.

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Sizing GPU servers for on-prem video analytics?

Share your stream count, resolutions and models, and we will calculate streams per GPU and propose a server configuration with cost. 250+ video products shipped since 2005.

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