# Private AI

URL: https://donedeploy.com/devops-services/private-ai/

[!AI · November 2, 2026CI/CD for Models and PromptsEvaluation gates, model registries, canary releases and rollback: applying CI/CD discipline to prompts and models in LLM applications.](https://donedeploy.com/cicd-for-llms/)[!AI · October 23, 2026Fine-Tuning or Prompting? A Decision Guide for Small TeamsWhen prompting, RAG or fine-tuning is the right way to adapt a language model, and what each one costs a small engineering team.](https://donedeploy.com/fine-tuning-or-prompting/)

Related services

## Often done together

[**AI service design**Put AI features into production with predictable cost and control*Learn more »*](https://donedeploy.com/devops-services/ai-service-design/)[**AI observability**Know what is wrong, and why, before your customers tell you*Learn more »*](https://donedeploy.com/devops-services/monitoring/)[**DevSecOps**DevSecOps that makes security part of everyday delivery*Learn more »*](https://donedeploy.com/devops-services/security-and-compliance/)

Questions

## Frequently asked

What is a private or self-hosted LLM?

It is an open model that runs on infrastructure you control, in your own cloud account or data centre, so prompts and documents do not leave your environment.

Do we need our own GPUs?

Not necessarily. GPUs can be rented in your cloud account, and smaller models can run on modest hardware. We size the setup to your workload.

Can we still use hosted models like Claude or GPT?

Yes. A gateway can send each request to a private or hosted model according to rules you set, for example keeping sensitive data on private models only.

Tell us what you run and what you want to change. We reply personally, and the first consultation is free.

[Let's talk »](https://donedeploy.com/lets-talk/)