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.
Automation / AI / Dev
Fair-code workflow automation platform with native AI capabilities and 400+ integrations
Requirements
Badges are attached to each value. An estimate is never presented as an official project requirement.
| Resource | Minimum | Recommended |
|---|---|---|
| RAM | 2 GB Estimated | 4 GB Estimated |
| CPU | 1 vCPU Estimated | 2 vCPU Estimated |
| Disk | 10 GB Estimated | Not 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
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 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
Zapier / Make
n8n is catalogued here as a self-hosted alternative to Zapier / Make. Feature parity varies, so compare your required workflow before migrating.
Source check
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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