n8n VPS hosting
Compare live VPS resources for self-hosted n8n, Docker Compose, webhooks and AI-enabled automation, then size the complete stack instead of relying on a generic minimum.
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Quick decision guide
n8n resource needs vary with workflow concurrency, payloads, databases, Code nodes, browser automation and other services on the server.
You plan to deploy with Docker Compose; verify the current official n8n stack requirements and leave headroom for production workloads.
You want more assistance with the server environment while retaining responsibility for the n8n application, workflows and credentials unless current terms explicitly say otherwise.
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Current plans
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Who it is for
Developers, operations teams and businesses that want to self-host n8n on an always-on VPS they control.
Plan with confidence
Use the practical details below to compare requirements, responsibilities and the right fit for your project.
Self-hosting n8n on a VPS gives you an always-on environment for workflows, webhooks, schedules, integrations and AI-enabled automation. The important buying decision is not simply “can n8n run?” but how much CPU, memory and operational responsibility your actual workflows require.
There is no single RAM number that fits every n8n installation. Resource needs change with workflow concurrency, payload size, database usage, Code nodes, browser automation, AI workloads and any other services running on the server.
For one concrete reference point, n8n’s current Docker Compose guide for a stack that includes the n8n Assistant sandbox lists at least 4 GB RAM and 2 vCPUs. That is a requirement for that documented setup, not a universal minimum for every possible n8n installation. See the official n8n Docker Compose documentation before deployment.
| Workload pattern | Planning direction | What increases demand |
|---|---|---|
| Light personal or small-team automation | Start with a modest VPS and measure real usage. | More executions, larger payloads and additional services. |
| Docker Compose with Assistant sandbox | Use n8n’s current documented requirements as the floor for that stack. | Docker-in-Docker sandboxing and concurrent executions. |
| Growing production workflows | Leave headroom above current CPU and memory usage. | Queues, database load, webhooks, AI nodes and parallel jobs. |
| Heavy automation or multiple applications | Size the server for the complete stack, not n8n alone. | Databases, reverse proxies, browsers, vector services and other containers. |
Use our VPS RAM sizing guide to build a memory budget rather than choosing a tier from a generic rule.
Choose self-managed VPS when you want server-level control and can administer Linux, Docker, networking, security and backups yourself. Choose managed VPS when you want more assistance with the server environment. A managed server does not automatically mean your n8n workflows, custom nodes, credentials or application configuration are managed for you.
n8n can orchestrate AI-enabled workflows while the VPS handles the automation layer, webhooks, queues and supporting services. If the AI model itself runs through an external API, the VPS does not need to host the model. See AI VPS Hosting for the broader infrastructure decision and AI VPS vs GPU Server when local inference is part of the plan.
It depends on the deployment. n8n’s current Docker Compose guide for the Assistant sandbox stack specifies at least 4 GB RAM and 2 vCPUs, while other deployments can differ substantially. Measure the workload and size the complete stack.
Yes. n8n publishes an official Docker Compose setup. Follow its current documentation rather than relying on an old third-party compose file.
No. These are VPS infrastructure plans suitable for self-hosting when sized correctly. Install and configure n8n according to its current documentation.
No for the automation platform itself. A GPU matters only if another workload on the server specifically requires GPU acceleration.
If you want to operate the container stack yourself, compare Docker VPS hosting for the broader server, Compose, security and backup responsibilities.
Questions
There is no universal number. The current n8n Docker Compose guide for its Assistant sandbox stack specifies at least 4 GB RAM and 2 vCPUs; other deployments can differ.
No. These pages help you choose VPS infrastructure for self-hosting n8n. Install and configure n8n using current official documentation.
Yes. n8n publishes an official Docker Compose setup. Follow the current documentation and plan persistent storage, HTTPS, backups and updates.
No for the n8n automation platform itself. GPU requirements only apply if another workload on the server specifically requires GPU acceleration.
Yes. Product names, displayed prices and checkout actions are loaded from the current product catalog.
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