deploy-llms-with-ansible

Overview

An Ansible playbook that deploys large language models to remote servers using Docker containers running llama.cpp or ollama. It automates setup and exposes the service with IP whitelisting for access control.

Best for

Best for
Developers who want to quickly self-host an LLM on a remote server using Ansible

Use cases

• Deploy an LLM to a cloud VM with a single playbook run
• Self-host a private chatbot using llama.cpp or ollama
• Automate repeatable LLM deployments across multiple servers

Notes

An Ansible playbook that deploys large language models to remote servers using Docker containers running llama.cpp or ollama. It automates setup and exposes the service with IP whitelisting for access control.

3 stars on GitHub. Last updated 2025-05-01.

Use cases

• Deploy an LLM to a cloud VM with a single playbook run
• Self-host a private chatbot using llama.cpp or ollama
• Automate repeatable LLM deployments across multiple servers

Pros

• Infrastructure-as-code approach makes deployment reproducible
• Supports both llama.cpp and ollama backends
• Built-in IP whitelisting adds a basic security layer

Cons

• Limited to Dockerized deployments, requires Docker on target hosts
• No support for GPU acceleration or advanced hardware configuration
• Community project with low activity (3 stars) and minimal documentation

Indexed from awesome-llm and enriched against its public facts.