Getting Started
As demand for self-hosted large language models (LLMs) grows, organizations are looking for intuitive tools that allow private, flexible, and high-performance deployments. OpenWebUI, integrated with Ollama, provides a powerful, user-friendly interface and a backend that simplifies running and managing open-source LLMs directly in your infrastructure.
Meetrix now brings this setup to the AWS Marketplace with a pre-configured OpenWebUI + Ollama AMI, offering production-grade performance, hardened security, and 24/7 support.
What Are OpenWebUI and Ollama?
OpenWebUI
OpenWebUI (formerly Ollama Web UI) is a user-friendly, feature-rich interface designed for interacting with local and remote LLMs. It supports various models, including those from Ollama, and offers advanced features like RAG, model downloading, and multi-user collaboration.
Ollama
Ollama is a powerful and lightweight framework for running LLMs locally. It handles model downloading, configuration, and execution, making it easy to integrate open-source models like Llama 3, Mistral, and Gemma into your applications.
Together, OpenWebUI and Ollama provide a seamless, secure, and developer-friendly AI environment. You get a powerful UI to manage and interact with models while ensuring data privacy and operational control.
Quick Video Guide
Why Deploy with Meetrix?
While manual setup is an option, it can be complex and time-consuming. Meetrix simplifies the entire process with a production-ready AMI that includes:
- Instant Deployment: Pre-installed and fully integrated OpenWebUI and Ollama.
- Broad Model Support: Works with LLaMA, Mistral, Gemma, and other GGUF/GPTQ models.
- Secure and Private: Hardened security with HTTPS, IAM compatibility, and VPC-ready deployment.
- Expert Support: 24/7 assistance for deployment, configuration, and troubleshooting.
Ideal Use Cases
Use Case | Description |
---|---|
Private AI Assistants | Deploy a secure, internal chat interface for your team. |
Rapid Prototyping | Test and iterate on LLM-powered features in a secure, local sandbox. |
Educational and research tools | Use AI safely in classrooms, labs, or training centers |
Secure Q&A and document tools | Build small-scale retrieval systems with private data |
Internal productivity assistants | Create specialized copilots for enterprise knowledge and workflows |
Who Should Use This?
This OpenWebUI + Ollama AMI is ideal for:
- Developers building LLM-powered applications
- Startups prototyping AI features
- Research institutions exploring open models
- Privacy-conscious teams deploying AI in-house
- Organizations avoiding third-party model APIs
Benefits of Meetrix’s OpenWebUI and Ollama AMI
Feature | Meetrix AMI | Manual Setup |
---|---|---|
Setup Time | Under 10 minutes | Requires multiple installation steps |
Model Compatibility | Ready for GGUF, GPTQ, and more | Manual configuration required |
Security Configuration | HTTPS, IAM, VPC ready | DIY security setup |
Interface Usability | Pre-tuned for ease of use | Varies by environment |
Support | 24/7 from Meetrix experts | None or community-only |
Frequently Asked Questions
Which models are supported with Ollama?
OpenWebUI with Ollama supports popular open models such as LLaMA, Mistral, Gemma, and various GGUF or GPTQ-based variants.
Do I need technical experience to deploy this?
No. Meetrix provides a fully configured AMI and step-by-step <a href="https://meetrix.io/articles/open-webui-developer-guide/" target="_blank" rel="noopener noreferrer">Developer Guide</a> to help you launch and run it easily.
Can I use this in a private VPC?
Yes. It is fully compatible with AWS VPC configurations and can run in isolated environments.
Can I extend the UI with plugins?
Yes. OpenWebUI supports custom plugins and extensions for chat formatting and workflow enhancements.
What kind of support is included?
We offer full technical assistance for deployment, configuration, and customization, with 24/7 availability.
Ready to take control of your AI infrastructure?
Deploy OpenWebUI and Ollama on AWS with Meetrix for a secure, scalable, and fully-supported solution. Get started in minutes and unlock the full potential of self-hosted large language models.
Launch your private LLM interface today