Take control of your AI experience. Open WebUI gives you a feature-rich chat interface for local and remote AI models. Hosting it on Kamatera’s completely private servers means you don’t have to deal with subscriptions or data sharing.
Open WebUI requires reliable processing power and low-latency connectivity to provide a smooth chat experience. Kamatera offers the perfect environment to host your private AI interface.

Why run Open WebUI on Kamatera?
Kamatera cloud servers are on 24/7 with 99.95% uptime. Access your custom-trained agents and private knowledge base from your phone, tablet, or laptop.
Every conversation, every document, every interaction lives on your Kamatera server. Keep your conversations and proprietary data off third-party AI servers.
With 20+ data centers worldwide, you can deploy your AI interface close to you or your team. This reduces latency for features like speech-to-text.
Kamatera uses high-frequency Ice Lake processors and NVMe SSDs to ensure your vector database queries and document indexing happen instantly.
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Frequently asked questions
Open WebUI is an open-source, extensible user interface designed for interacting with Large Language Models. The entire project is hosted on GitHub, where you can access the source code, track development progress, and view the latest releases.
Open WebUI allows you to run a ChatGPT-like interface on your own hardware or cloud server, supporting local models via Ollama or external models via OpenAI-compatible APIs.
You need to host your Open WebUI on Kamatera if:
· Privacy and data control are non-negotiable
· You have multiple users and want to avoid per-seat pricing
· You generate high volumes of AI content
· You work with sensitive or proprietary information
· You want to upload and query your own documents
· You need unlimited usage without rate limits
· You want to experiment with multiple AI models
· Cost-effectiveness matters for your use case
You might not need it if:
· You occasionally use AI (few times per week)
· You’re fine with commercial AI providers having your data
· You don’t mind paying $20-30/user/month
· You want zero technical setup
The minimum system requirements for deploying Open WebUI are highly dependent on whether you plan to run a local Large Language Model (LLM) using an embedded system like Ollama or connect to an external API. The Open WebUI interface itself has very low requirements.
For the Open WebUI interface only, using an external API, the requirements are:
RAM: 1 GB for the container when idle.
CPU: 1 CPU core.
Storage: 10 GB of free space for the Docker installation and container.
To run models locally with the integrated Ollama system, requirements increase with the size of the models.
For more detailed information, please refer to the installation guide.
Kamatera provides sophisticated server monitoring across a wide range of critical metrics (including CPU, RAM, disk, and network throughput). You can add additional monitoring with free tools like Grafana or Netdata if you want specific metrics.
The use cases for Open WebUI revolve around enhancing privacy, conducting research, and building internal AI solutions for teams and organizations. Some of the most common uses include:
Educational tools: Institutions provide students with hands-on AI experience and model experimentation within a secure, cost-controlled setting.
Development and testing: Developers use the platform to experiment with open-source LLMs and custom system prompts in a flexible, local environment.
Knowledge management (RAG): Users upload documents and URLs to create internal knowledge bases, allowing the AI to provide accurate, context-aware answers based on specific private data.
Yes, Open WebUI provides native MCP support, starting in version 0.6.31. This allows you to connect directly to any MCP server that exposes an HTTP or SSE endpoint. You can manage these connections through the Admin Settings under the “External Tools” section.
Our flexible monthly and hourly pricing models allow you to keep your costs under control. If you choose an hourly server, we bill for the resources you use. You’re only charged for the time your server is running. You can see real-time usage in your dashboard, and there are no surprise charges or hidden fees.
Our 30-day free trial includes one server worth up to $100. You can set up your free VPS server, install an operating system, and select a location from one of our 20+ data centers worldwide.
If you choose monthly billing, you will receive your first invoice the month after the free trial expires. For example, if you start your free trial on November 20, the free trial will be until December 20. If you choose to continue using our services and don’t terminate your server, your first invoice will be sent out after January 1. That invoice will include a prorated charge for December 20-31, as well as the month of January.
