Question 1

How to install Open WebUI with Docker on Opsily?

Accepted Answer

You do not need to perform a manual installation. Select Open WebUI from our application catalog and our orchestrator handles the Docker deployment for you. Within three minutes, you will receive a secure URL and login credentials for your dedicated instance. We manage the container lifecycle, ensuring your environment is always available and correctly configured.

Question 2

Does this Open WebUI Docker setup require a dedicated GPU?

Accepted Answer

It depends on where your LLM is running. If you connect Open WebUI to external APIs like OpenAI, no local GPU is required. If you use a local Ollama instance, Opsily provides optimized CPU resources that can handle smaller models efficiently. For large-scale heavy inference, our infrastructure is designed to interface seamlessly with remote GPU providers while keeping the UI responsive.

Question 3

Can I migrate my local Docker database to Opsily?

Accepted Answer

Yes, migration is straightforward. You can export your local volume data from your current Docker environment and upload it to your Opsily instance via our secure interface. This preserves all your chat histories, uploaded documents, and RAG settings. If you need assistance with the transition, our support team can guide you through the volume mapping process.

Question 4

Is Open WebUI free for commercial use on your platform?

Accepted Answer

Open WebUI is open-source and free for most organizations. However, be aware of recent licensing changes for large teams exceeding 50 users or those requiring white-labeling. Opsily provides the hosting infrastructure regardless of your license tier. For most small to mid-sized businesses, the standard open-source version remains fully functional and ready for commercial use without additional license fees.

Question 5

How to connect Ollama to Open WebUI Docker on Opsily?

Accepted Answer

Connecting Ollama is simple within our dashboard. You can link your Open WebUI instance to a managed Ollama container via internal networking or connect to an external Ollama endpoint. This setup allows for private, local LLM execution without data leaving your secure environment.

Question 6

How are updates handled for the Open WebUI Docker image?

Accepted Answer

We manage the update process to prevent breaking changes from reaching your production environment. Our team monitors the official repository for stable releases and tests them for compatibility. Once verified, updates are applied automatically during your scheduled maintenance window. This ensures you get the latest features, like fixed Python function calling or new vector DB integrations, without manual intervention.

Question 7

Is Open WebUI Docker GPU acceleration supported for all models?

Accepted Answer

Yes, our managed stack is optimized to support GPU acceleration when connected to compatible backend engines. While Open WebUI itself is the interface, we ensure the Docker environment parameters allow for high-throughput communication with inference servers, ensuring zero-latency chat experiences even for large Vision or RAG models.

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