On-premise deployment

A large language model that never leaves your network

Prometheus is deployed fully on-premise, inside your own infrastructure, so sensitive government and enterprise data never travels to a foreign cloud.

Overview

On-premise LLM deployment

Sending sensitive data to a foreign cloud LLM is a sovereignty and compliance risk that many Azerbaijani institutions simply cannot take. Prometheus is designed to run fully on-premise: the model lives inside your own network, so you get modern language AI without your data ever leaving your control.

What it does

Modern AI, full data control

Deployed fully on-premise — the model runs inside your own network.

Data never leaves your infrastructure, supporting data sovereignty and compliance.

Available in 587B, 99B and 39B sizes to match your hardware and accuracy needs.

Native Azerbaijani understanding, so on-prem does not mean second-rate.

Suited to government, banking and other regulated sectors that cannot use foreign clouds.

How it works

How on-premise deployment works

1Choose the model size for your workload
2Deploy Prometheus inside your own network
3Connect your applications through the API
4Data stays entirely within your infrastructure
FAQ

Common questions

Where does Prometheus run?

Fully on-premise, inside your own network. The model and your data both stay within your infrastructure.

Does running on-premise limit the language ability?

No. The same natively-built Azerbaijani model runs on-premise; deployment location does not reduce its capability.

Which hardware footprint do we need?

Prometheus comes in 587B, 99B and 39B parameter sizes so you can match the model to your available hardware and accuracy needs.

Explore more

More of what Prometheus does

Get started

See Prometheus on your own infrastructure

Request a demo to see Prometheus running on-premise — Azerbaijani understanding, model sizing and API integration, end to end.