---
title: "Deploy n8n Enterprise-Ready Stack + Ollama"
description: "🚀 Infinite Scaling n8n + worker + PostgreSQL HA + Redis + Runer + Ollama"
category: "Other"
url: https://railway.com/deploy/n8n-enterprise-ready-stack-ollama
---

# Deploy n8n Enterprise-Ready Stack + Ollama

🚀 Infinite Scaling n8n + worker + PostgreSQL HA + Redis + Runer + Ollama

**[Deploy n8n Enterprise-Ready Stack + Ollama on Railway](https://railway.com/template/n8n-enterprise-ready-stack-ollama)**

- **Creator:** iCue
- **Category:** Other
- **Total deploys:** 4

## Template content

### postgres-18-proxy https://devicons.railway.app/pos

- **Source:** icueth/n8n-PostgresHA-RedisHA

### n8n-task-runner https://devicons.railway.app/n

- **Source:** icueth/n8n-PostgresHA-RedisHA

### n8n-worker https://devicons.railway.app/n

- **Source:** icueth/n8n-PostgresHA-RedisHA

### Redis-n8n https://devicons.railway.app/Redis

- **Source:** icueth/n8n-PostgresHA-RedisHA

### ollama https://devicons.railway.app/i/Ollama.svg

- **Source:** icueth/n8n-PostgresHA-RedisHA

### postgres-18-replica https://devicons.railway.app/pos

- **Source:** icueth/n8n-PostgresHA-RedisHA

### postgres-18-primary https://devicons.railway.app/pos

- **Source:** icueth/n8n-PostgresHA-RedisHA

### n8n https://devicons.railway.app/n

- **Source:** icueth/n8n-PostgresHA-RedisHA
- **Public domain:** Yes

## Documentation

# Deploy and Host Ollama for AI-Powered n8n on Railway

🤖 **Local AI powered by Qwen 2.5** - Run AI workflows in n8n without external API costs!

---

## About Hosting Ollama on Railway

Ollama allows you to run open-source large language models (LLMs) locally. By hosting it on Railway alongside n8n, you create a powerful, private, and cost-effective AI automation stack. This service is pre-configured to:
- Run the highly-capable **Qwen 2.5:3b** model.
- Communicate over Railway's private network for maximum security.
- Store models in a persistent volume so they only download once.

---

## Why Deploy Ollama with n8n?

1. **Zero API Costs**: Say goodbye to per-token billing from OpenAI or Claude.
2. **Data Privacy**: Your data never leaves your Railway project. Local AI means local data.
3. **No Latency to External APIs**: Fast communication over Railway's internal network (`railway.internal`).
4. **Tool Use**: Perfect for giving n8n AI agents the ability to query your PostgreSQL database directly.

---

## Common Use Cases

- **Natural Language DB Query**: "Show me all users who signed up today" -> AI generates SQL -> n8n executes.
- **Support Automation**: Classify incoming tickets and generate draft replies.
- **Data Extraction**: Extract structured data from messy emails or documents.
- **Smart Workflows**: Use AI as a conditional logic engine to make decisions in your workflows.

---

## Dependencies for Ollama Service

| Dependency | Version | Purpose |
|------------|---------|---------|
| **Ollama** | Latest | The engine that runs the LLM |
| **Qwen 2.5** | 3b | The default intelligence model |
| **Docker** | Latest | Containerization for Railway |

### Deployment Dependencies

| Resource | Requirement | Note |
|----------|-------------|------|
| **RAM** | 4GB (Min) | **Required** for 3b models |
| **Disk** | 10GB | To store the model weights |
| **CPU** | 2 vCPU+ | Faster CPU = Faster responses |

---

## Default Configuration

| Setting          | Value                                  |
| ---------------- | -------------------------------------- |
| **Model**        | `qwen2.5:3b`                           |
| **API Endpoint** | `http://ollama.railway.internal:11434` |

---

## Connecting to n8n

### Step 1: Add Ollama Credentials in n8n
1. Open your n8n UI.
2. Go to **Settings** -> **Credentials**.
3. Create a new **Ollama API** credential.
4. Set the **Base URL** to: `http://ollama.railway.internal:11434`.

### Step 2: Use in Workflows
Use the **AI Agent** or **Ollama Chat Model** nodes. Always ensure the "Model" name in the node matches `qwen2.5:3b`.

---

## Resource Requirements & Cost

| RAM | Est. Cost/mo | Performance |
|-----|--------------|-------------|
| 2GB | ~$10 | Struggling / High Latency |
| **4GB** | **~$20** | **Balanced (Recommended)** |
| 8GB | ~$40 | Fast / Supports 7b models |

---

## Troubleshooting

- **❌ Connection Timed Out**: Ollama might still be downloading the model weights on the first boot. Check logs.
- **❌ Out of Memory**: Ensure the service has at least 4GB of RAM allocated in Railway.
- **❌ Slow Responses**: Running on CPU is slower than GPU. Use smaller models like `qwen2.5:1.5b` if speed is critical.

---

## Support This Project

If this template saves you time and money, consider supporting its development! ☕

[![Support Me](https://img.shields.io/badge/Support%20Me-Stripe-blue?style=for-the-badge&logo=stripe)](https://buy.stripe.com/14A28sbLa5mJ8SM5qY2VG01)

## Similar templates

- [Rocky Linux](https://railway.com/deploy/rocky-linux) — Hosted Rocky Linux 9 workspace with SSH and persistent storage. 🚀
- [Foundry Virtual Tabletop](https://railway.com/deploy/X5tR6G) — A Self-Hosted & Modern Roleplaying Platform
- [Letta Code Remote](https://railway.com/deploy/letta-code-remote) — Run a Letta Code agent 24/7. No inbound ports, just deploy.

Open this page in a browser: https://railway.com/deploy/n8n-enterprise-ready-stack-ollama