Is My PC Good Enough for Running n8n?

Hey everyone,

I’m thinking about running n8n on my PC and wanted to check if my specs are good enough. Here’s what I’m working with:

  • CPU: Intel Core i5-1135G7
  • RAM: 16GB
  • Storage: 512GB SSD
  • GPU: Intel Iris Xe Graphics

I plan to self-host n8n, maybe using Docker. Will this setup work smoothly, or should I expect performance issues? I won’t be doing anything too crazy, just some automation workflows and AI-related tasks.

Any advice would be super helpful! Thanks!

It looks like your topic is missing some important information. Could you provide the following if applicable.

  • n8n version:
  • Database (default: SQLite):
  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
  • Operating system:

Yes that will suffice for an n8n install. You could easily get away with running it in a docker on that system.

At my initial stage i ran the n8ninstange in a literal 2GB 2vCPU instance, and AWS lightsail provides free 80 days of those VMS thats what n8n is required to run 8-15 active workflow - belive me they where not THAT Much laggy, Your system can carry a whole lot of workflows. just keep things in seprate docker container.

If my solution helped solve your query, please consider marking it as the answer! A like would make my day if you found it useful! :memo::sparkles:

Hey @Wiliam_SEONG,

A more correct reply would be: it depends
From what you’ve said, your setup would be enough.

But you can also self-host using VPS with Free Tier.

Here are some scenarios:

Level 1 – Low Traffic Production

Ideal For: Small teams or low-frequency workflows.

  • Specs:
    CPU: 2 vCPUs
    Memory: 4–8 GB RAM
    Storage: 20–40 GB SSD

Provides enough headroom for moderate concurrent workflow executions without overspending.


Level 2 – Moderate Traffic Production

This is my current setup for managing small-to-medium marketing automations.

Ideal For: Growing operations with several concurrent workflows.

  • Specs:
    CPU: 4 vCPUs
    Memory: 8–16 GB RAM
    Storage: 40–80 GB SSD (preferably with faster I/O)

More robust resources to handle increased demand and prevent slowdowns during peaks.


Level 3 – High Traffic/Enterprise Production

Ideal For: High-volume, complex workflows with many concurrent executions.

  • Specs:
    CPU: 8+ vCPUs
    Memory: 16+ GB RAM
    Storage: 80+ GB SSD, with provisions for scaling storage as needed

This level ensures high reliability, performance, and the ability to handle scaling challenges.

:point_right: If my reply answers your question, please remember to mark it as a solution.

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Hey @Wiliam_SEONG !

I run my n8n on an old laptop with similar specs to yours and it handles personal automation and light AI tasks perfectly. I use Docker, limiting it to 4GB RAM, and it’s been smooth sailing.

You can check the official n8n documentation on minimal requirements here: Prerequisites | n8n Docs

Additional tips for self-hosting:

  1. For scheduled automations, ensure your PC doesn’t sleep or shut down.
  2. Back up your data to prevent loss due to machine/disk failure. I use the free version of Duplicati to back up to Google Drive. So far, I haven’t needed to restore, but it’s good to be prepared.
  3. You might encounter issues using the n8n UI over HTTP. Setting up an HTTPS certificate is recommended. I used Caddy as a reverse proxy, but self-signed certificates are also an option: Configure n8n to use your own certificate authority | n8n Docs

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