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quinta.
Glossary
Architecture

Latency

The time between request and response — for AI services a decisive measure of user experience.

Latency is the delay between sending a request and the response arriving, measured in milliseconds. For interactive AI applications it decides whether a service feels fluid or sluggish.

On-premise operation has a structural advantage here: when inference happens on your own network, the detour across the public internet to a remote provider disappears. In Quinta’s benchmark latency was about 56 ms — even under load with 512 concurrent requests.

What matters is latency under load, not at idle: a system that answers quickly on its own but collapses under many parallel requests is of little value in production. This is exactly where the operating layer pays off.

From terms to operation.

In the demo we show what sovereign AI looks like in practice — on your hardware, with your data.