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There is no universal RAM or vCPU requirement for self-hosted n8n in the official guidance reviewed here. The right VPS size depends on what your workflows do, how many executions overlap, and whether they process large payloads or binary files. Start with a representative workload, monitor it, and scale when measurements show a bottleneck rather than treating an unsupported plan size as an n8n minimum.
Why n8n does not have one reliable VPS size
A lightweight workflow that calls APIs and passes small records can place very different demands on a server than workflows that run concurrently, handle large payloads, or process binary data. Execution volume and retained execution data also affect the overall workload. n8n’s documentation index treats performance benchmarking, concurrency control, queue mode, execution data, binary data, and memory-related errors as separate scaling topics; it does not establish a universal RAM-and-CPU figure or a profile-by-profile VPS recommendation. See n8n’s documentation.
That means a claim such as “n8n needs 2 GB RAM and 1 vCPU” should not be presented as an official requirement without a benchmark that identifies its workload and setup. The documentation surfaced here does not provide comparable numeric sizing figures for light, typical, or heavy use.
What to consider when sizing a VPS
How many executions overlap
Estimate peak simultaneous executions, not just how many workflows you have configured or how many run over a day. More work running at once can increase demand on the instance. n8n identifies concurrency control and queue mode as scaling concerns, but the available guidance does not translate them into a fixed vCPU or memory rule.
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What each workflow processes
Consider the size and type of data each execution handles. Small API requests and records may have a different memory profile from workflows that load large payloads or manipulate files. n8n identifies memory-related errors and binary data as scaling topics, but there is no published RAM figure here for either workload type.
Execution volume and stored data
Include how often workflows run and how much execution data your deployment keeps. These affect the work and data your system must manage, but the documentation index does not specify a VPS tier based on run volume or retention. Treat them as variables to measure in your own deployment, not as a formula for calculating RAM or CPU.
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One instance or a scaled architecture
A single-instance deployment is not the same architecture as queue mode with workers and supporting services. n8n lists queue mode as a scaling topic, but the available source does not provide detailed hardware guidance for that architecture. Do not assume that a queue-mode design can be sized using a single-server rule of thumb.
Choose between self-hosting and managed hosting
n8n describes npm and Docker as self-hosting options and offers n8n Cloud for users who prefer that n8n handles the infrastructure. Self-hosting puts the infrastructure choice and its operation in your hands; Cloud avoids choosing and managing a VPS yourself. n8n also describes self-hosting as an option for privacy-focused use. Review n8n’s deployment options.
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How to size and adjust your VPS using workload evidence
- Describe the workload. List the workflows you expect to run, their peak overlap, how often they run, the typical payload and file sizes, and how much execution data you plan to retain.
- Test representative workflows. Run a realistic mix of workflows under the concurrency you expect in production. A quiet test with only one small workflow will not show how the VPS behaves during your actual peak workload.
- Observe resource use and execution behavior. Watch CPU and memory during the test, along with overlapping executions, slowdowns, and memory-related errors. Compare busy periods with normal operation so a short spike is not confused with a persistent capacity problem.
- Increase capacity when measurements show a constraint. If CPU remains a bottleneck during expected load, assess CPU capacity; if memory pressure or memory-related errors occur, assess memory and the workflows contributing to it. Retest after changes rather than assuming that adding one resource resolves every bottleneck.
- Reassess when the workload changes. New workflows, larger payloads, more concurrent runs, or different retention practices can change resource demand. Repeat the test when those changes materially alter how the deployment is used.
This is a practical measurement approach, not a sizing formula published by n8n. The official documentation identifies benchmarking and scaling topics but does not establish a numeric starting tier or a universal upgrade threshold.
When external binary storage may help
n8n’s external S3 storage feature stores binary data produced by workflow executions and can reduce reliance on the local filesystem for large workflow binary data. It is a Self-hosted Enterprise feature and requires an Enterprise license key. n8n supports AWS S3; other S3-compatible services may work but are not officially supported. Read n8n’s external storage documentation.
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This is a storage option, not evidence that S3 reduces CPU demand or removes the need for adequate memory. It should not be treated as a general VPS-sizing fix or as a feature available to every self-hosted edition.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What a useful VPS recommendation should disclose
If you compare specific VPS plans, make sure the recommendation is tied to a stated workload and a reproducible test. The result can depend on the workflow mix, peak concurrency, n8n version, database, deployment architecture, and provider’s CPU and storage specifications. Without those details and measured results, a precise RAM-and-vCPU tier is not a substantiated n8n requirement.
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