Deploy Ollama Stack (LLM + Web UI)
Railway

Deploy Ollama Stack (LLM + Web UI)

1-click deploy Ollama LLM with Web UI, fast setup, ready to use 🤖

Deploy Ollama Stack (LLM + Web UI)

Just deployed

/app/backend/data

Just deployed

/root/.ollama

Deploy and Host Ollama Stack

Ollama Stack (LLM + Web UI) is a ready-to-deploy AI environment that bundles Ollama as the LLM runtime with a browser-based interface. It enables you to run, manage, and interact with large language models through a simple web UI without complex setup.

About Hosting Ollama Stack

Hosting Ollama Stack involves running the Ollama service alongside a Web UI in a single deployable environment. This template is designed for one-click deployment, automatically provisioning the runtime, exposing endpoints, and making the UI accessible via a public URL. You can pull and run models directly from the interface or via API. Scaling depends on available compute resources, especially CPU/GPU and memory, as LLM workloads are resource-intensive. This setup is ideal for rapid prototyping, internal tools, or lightweight production use.

Common Use Cases

  • Internal AI chatbot with custom prompts and workflows
  • Rapid prototyping for LLM-based applications
  • Self-hosted alternative to external AI APIs

Dependencies for Ollama Stack Hosting

  • Ollama runtime
  • Web UI service (e.g., Open WebUI or similar)

Deployment Dependencies

Implementation Details

Example: Pull and run a model using Ollama CLI

ollama pull llama3
ollama run llama3

Basic API call example:

curl http://localhost:11434/api/generate \
  -d '{
    "model": "llama3",
    "prompt": "Hello world"
  }'

How to Use

  1. Open the generated Web UI URL
  2. Create an admin account on first access
  3. Go to Models and pull/import a model (e.g., llama3)
  4. Open Chat and start interacting with the model
  5. (Optional) Use the API endpoint for integration

Why Deploy Ollama Stack on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Ollama Stack on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.


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