Automation / AI / Dev

n8n on VPS

Fair-code workflow automation platform with native AI capabilities and 400+ integrations

GitHub stars
~208k (2026-10-24)
License
Sustainable Use License (fair-code)
Docker
Yes
GPU
Not required

Requirements

Minimum and recommended VPS specs

Badges are attached to each value. An estimate is never presented as an official project requirement.

n8n hardware requirements
ResourceMinimumRecommended
RAM2 GB Estimated4 GB Estimated
CPU1 vCPU Estimated2 vCPU Estimated
Disk10 GB EstimatedNot stated Not stated

Disk figures describe the application footprint recorded in the dataset. Personal media, documents, backups and other user data can require substantially more storage.

RunOnVPS sizing suggestion

Suggested VPS tier

4 GB RAM tier

This is our sizing suggestion, derived from n8n’s recommended RAM of 4 GB. It is not an official requirement and it does not guarantee that every workload, plug-in set or media library will fit comfortably.

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Deployment

Docker & GPU

Docker support: Yes

GPU: Not required

Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.

Commercial alternative

What it can replace

Zapier / Make

n8n is catalogued here as a self-hosted alternative to Zapier / Make. Feature parity varies, so compare your required workflow before migrating.

Add it to a multi-app VPS estimate →

Source check

Important notes

官方未标明硬件最低配置: checked docs.n8n.io/hosting and the official n8n-io/n8n-hosting repo on 2026-10-24, neither publishes a RAM/CPU/disk minimum; all sizing values are conservative estimates based on the default single-container Docker deployment (SQLite; queue mode adds PostgreSQL/Redis). GitHub stars 208412 on 2026-10-24. License per README: fair-code distributed under the Sustainable Use License and n8n Enterprise License.

Data source: https://docs.n8n.io/hosting/

Project repository: https://github.com/n8n-io/n8n

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