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There is no single official minimum VPS specification for self-hosted n8n in 2026. The figures often quoted online—320 MB to 2 GB of memory, 10 CPU cycles and 512 MB to 4 GB of SSD—come from n8n’s illustrative Cloud/OEM sizing table, not a guaranteed self-hosting baseline. For a small production installation, a practical starting point is about 2 vCPU, 4 GB RAM and 40 GB of persistent SSD, then adjust for workflow concurrency, payload size, binary files and retention.
Memory is usually the first limit, while storage grows with execution history, files, logs and backups. SQLite can serve a development or small single-instance setup; PostgreSQL is the safer production choice, and queue mode adds Redis, workers and more database capacity. The right VPS is therefore determined by workload and operating practice, not by how many workflows are visible in the editor.
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What are n8n’s minimum VPS requirements in 2026?
n8n does not publish one universal minimum for every self-hosted VPS. Its documentation says n8n is generally not CPU intensive, and its Cloud/OEM table is explicitly illustrative. Treat those values as orientation, not as a promise that any VPS meeting them will run a production workload reliably.
| Figure | What n8n documents | How to interpret it for a VPS |
|---|---|---|
| Memory | Approximately 320 MB–2 GB in the illustrative table; about 100 MB for an idle Cloud example (n8n, 2026) | Idle usage is not a production allowance. Workflow data, Code nodes, databases and binary files can require much more. |
| CPU | 10 CPU cycles in the illustrative table (n8n, 2026) | This is not a stated number of cores or a self-hosted minimum. Size for concurrent executions and workload complexity. |
| Database storage | 512 MB–4 GB in the illustrative table (n8n, 2026) | Real disks also need the operating system, containers, logs, backups, binary data and free space for recovery. |
For planning purposes, 2 vCPU, 4 GB RAM and 40 GB of persistent SSD is a reasonable baseline for a small production instance with modest payloads and retention. It is an editorial sizing heuristic, not an n8n specification. A single developer, a webhook-heavy automation service and a multi-worker installation can have radically different requirements.
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How much CPU does n8n need?
Most small n8n installations do not need many cores. n8n states that it is not CPU intensive and that even small cloud instances should be sufficient for most use cases. CPU demand nevertheless rises when several executions run at once, when Code nodes perform computation, when payloads are encrypted or compressed, or when a large number of webhooks arrive together.
What determines CPU usage?
- Concurrent executions: Ten long-running jobs consume more CPU than hundreds of short, sequential workflows.
- Code-node work: Parsing, transformations, loops and external libraries can be substantially heavier than ordinary connector steps.
- Payload processing: Compression, encryption, image or document conversion and large JSON transformations add CPU time.
- Trigger volume: Bursty webhook traffic can create short periods of saturation even when average usage is low.
- Worker count: Queue workers increase throughput, but each process has its own overhead and can compete for CPU.
The number of workflows saved in the editor is not a useful CPU-sizing metric. A quiet installation with 500 dormant workflows may use less CPU than one workflow that processes large files continuously.
When should you add vCPUs?
Watch sustained CPU saturation and execution latency rather than upgrading because of a brief spike. If executions queue while memory remains comfortable and the database is responsive, an additional vCPU or a worker may help. If CPU is low but jobs still stall, investigate database connections, Redis, network calls or memory pressure before buying more cores.
How much RAM does n8n need?
RAM is usually the first resource to size conservatively. n8n keeps workflow data in process memory, and its guidance warns that Code-node copies and large binary files can consume available resources. A 2 GB VPS can run a light single instance, but it leaves little headroom for PostgreSQL, a reverse proxy, monitoring agents, backups and the operating system.
Why payload size matters more than workflow count
Each execution can hold input, intermediate values and output in memory. A workflow that downloads a large file, duplicates a big JSON object in a Code node or sends the data through several transformations may briefly require several times the original payload size. Multiple simultaneous executions multiply that working set.
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How much RAM should be reserved for supporting services?
Do not assign every byte of a VPS to the n8n process. PostgreSQL, Redis in queue mode, a reverse proxy, TLS tooling, monitoring and backup utilities all need memory. On a 4 GB machine, leave practical headroom for those services and for short-lived spikes instead of treating 4 GB as an n8n-only quota.
For heavier workloads, increase RAM before CPU. If the operating system starts swapping, executions become unpredictable and database latency can rise sharply. Swapping is a sign to reduce concurrency or add memory, not a dependable way to extend capacity.
How much storage does n8n need?
Storage must cover more than the n8n container. n8n stores credentials, workflows and past executions in its database, while binary files, logs, container layers, backups and temporary migration files consume additional space. A 40 GB persistent SSD is a sensible starting point for a small instance, but it is not a fixed requirement.
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What should the disk budget include?
- Database growth: Execution history and workflow metadata accumulate until retention or cleanup removes them.
- Binary data: File-processing workflows can outgrow the database estimate quickly.
- Operating-system and container overhead: Images, package caches and logs need working space.
- Backups: Keep at least one restorable copy separate from the live volume, plus temporary space for creating and verifying archives.
- Recovery headroom: Database maintenance, upgrades and migrations can require free space before old files are deleted.
Use SSD-backed storage and mount a persistent volume. n8n warns that data can disappear after a container restart when the data directory is not persisted and mounted correctly. A disk that is nearly full is an operational risk even when the application still appears healthy.
How should execution retention affect capacity?
Choose a retention period based on debugging and compliance needs, then monitor actual growth. Short-lived, high-volume executions can consume more space than a small number of long workflows. Include binary outputs and compressed backups in the forecast; do not estimate from the database file alone.
Do you need PostgreSQL, or is SQLite enough?
SQLite is bundled with n8n and is suitable for development and small, single-instance deployments. n8n’s hosting examples recommend PostgreSQL for production, and distributed queue operation should not be built on SQLite.
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When SQLite is reasonable
- A personal or development installation has one n8n process.
- Execution volume and concurrency are low.
- There is no requirement for multiple workers or high availability.
- Backups of the single persistent data volume are easy to perform and restore.
Why PostgreSQL is the production default
PostgreSQL provides a stronger foundation for sustained execution history, concurrent access and queue-mode architectures. It still needs its own memory, storage, connection limits, backups and maintenance. Size the VPS for the database as well as n8n, or place PostgreSQL on a separate managed service when operational simplicity matters more than keeping everything on one machine.
Do you need Redis and queue mode?
You need Redis and queue mode only when a single n8n process cannot meet your concurrency, throughput or availability goals. Queue mode uses a main process for triggers and coordination, Redis as the message broker, and worker processes for execution. n8n describes queue mode as its best scalability option, but it adds services and failure points.
What queue mode adds
- Redis: The default Redis port in n8n’s documentation is 6379; restrict access to trusted hosts and change defaults where appropriate.
- Workers: Workers can be added or removed as demand changes, but each worker consumes RAM and database connections.
- Database capacity: More workers create more concurrent database activity. n8n recommends a worker concurrency of 5 or higher and warns that low concurrency across many workers can exhaust database connections.
- Networking: The main process, Redis, workers and database must communicate reliably, with predictable latency.
Queue mode does not support filesystem binary-data storage. When workers must persist binary data, use external storage such as an S3-compatible service and make sure every relevant instance can access it.
When queue mode is excessive
A single process with PostgreSQL is simpler for a modest workload. Introducing Redis and workers before you have a measured concurrency problem increases RAM use, deployment complexity, monitoring requirements and the number of components that can fail. Scale out when execution queues, webhook response targets or availability requirements justify that cost.
What VPS size should you choose for different workloads?
The following tiers are planning starting points, not n8n guarantees. Actual requirements depend on payload size, execution duration, concurrency, retention and the services sharing the machine.
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|---|---|---|---|
| Development or learning | 1 vCPU, 1–2 GB RAM | At least 10–20 GB persistent SSD, with short retention | One process; SQLite is acceptable |
| Small production | 2 vCPU, 4 GB RAM | About 40 GB persistent SSD, increased for files and backups | One process; PostgreSQL preferred |
| Busy webhook or API service | 2–4 vCPU, 8 GB RAM or more | Fast SSD sized from measured execution and binary growth | PostgreSQL; consider queue mode after measuring bottlenecks |
| Distributed workers | At least 4 vCPU and 8 GB RAM across main and worker capacity | Separate persistent database and external binary storage where needed | PostgreSQL, Redis and one or more workers |
A 1 GB VPS may start n8n for a light experiment, but it offers almost no margin for a database, proxy, monitoring or bursts. A 2 GB plan can work for a small, low-concurrency instance with disciplined retention, yet 4 GB is a safer production baseline.
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Do you need Docker to run n8n on a VPS?
Docker is not the only possible deployment method, but n8n recommends it for most self-hosting needs and provides Docker Compose configurations for different architectures. The older standalone Docker guidance is marked outdated in favor of Compose-based deployment.
- Prepare the host: Apply operating-system updates, create a non-root administrative account, configure a firewall and set the correct time zone.
- Create persistent storage: Mount a durable volume for n8n data and, if applicable, PostgreSQL and Redis data. Verify the mount path before starting containers.
- Define the Compose services: Pin production image versions instead of using an unbounded latest tag. Add n8n, PostgreSQL and, only when required, Redis and workers.
- Configure secrets: Set the n8n encryption key and database credentials through a protected secrets mechanism. Back up the encryption key with the database; a database backup without its key may not restore usable credentials.
- Publish n8n safely: Put a reverse proxy in front of the editor and webhooks, terminate TLS, and restrict administrative access.
- Start and verify: Bring up the stack, confirm that the data directory is on the persistent volume, run a small workflow, restart the containers and confirm that credentials and workflows remain.
- Document recovery: Record image versions, environment variables, volume locations and restore steps before treating the installation as production.
How should you plan backups and recovery?
Backups are part of the VPS requirement because a live disk alone is not a recovery plan. Back up the PostgreSQL or SQLite data, n8n’s encryption key, workflow-related binary data and the configuration needed to recreate the deployment. Keep at least one copy outside the VPS and test that it can be restored to an isolated environment.
Allocate temporary disk space for dumps and compression, and schedule backups so they do not coincide with the busiest execution periods. A provider’s advertised backup retention is useful only if you know the restore procedure, the recovery point it offers and whether the backup includes attached volumes.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How do you know when the VPS is undersized?
Look for patterns across CPU, memory, disk, database and execution metrics rather than relying on a single symptom.
- Memory pressure: Out-of-memory kills, swapping or workers disappearing indicate insufficient RAM, excessive concurrency or oversized payloads.
- CPU saturation: Sustained high CPU with a growing execution queue points to compute limits or too many worker processes for the available cores.
- Database symptoms: Slow queries, connection errors and delayed execution history can mean PostgreSQL needs more memory, faster storage or a higher connection limit.
- Redis symptoms: Queue delays or worker disconnects require checking Redis memory, network reachability and authentication, not merely adding vCPUs.
- Disk exhaustion: Failed writes, container errors and missing logs require immediate cleanup or expansion, followed by a review of retention and binary storage.
- Webhook latency: Delayed responses can come from network quality, DNS, TLS or upstream services even when local CPU and RAM are normal.
Measure during the busiest expected period and after retention has accumulated. Increase RAM first when payloads and process memory are the issue; add CPU or workers when execution concurrency is the measured bottleneck.
What should you compare when choosing a VPS provider?
Price alone does not describe whether a VPS is suitable for n8n. Compare the resources and operational boundaries that affect webhook reliability and recovery.
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- CPU policy: Determine whether vCPUs are dedicated, shared or burst-limited, and how sustained use is handled.
- Memory guarantees: Confirm the usable RAM after the provider’s own agents and whether upgrades are available without a rebuild.
- Storage: Check SSD or NVMe behavior, persistent-volume guarantees, IOPS limits and expansion procedures.
- Backups: Review retention, geographic separation, restore time and whether attached volumes are included.
- Network: Select a region close to important APIs, verify IPv4 and IPv6 behavior, and assess reliability for inbound webhooks.
- Growth path: Ensure you can move to a larger VPS, separate PostgreSQL or Redis, or multiple workers without redesigning everything.
- Support boundary: VPS support commonly excludes operating-system, disk-space, CPU, memory and server-networking performance problems. Plan for your own patching, firewalling, monitoring, database maintenance and incident response.
Can a 2 GB VPS run n8n in production?
It can run a small, single-process deployment when executions are light, concurrency is low, binary files are limited and retention is controlled. The margin disappears quickly once PostgreSQL, a reverse proxy, monitoring and backups share the machine, so 2 GB should be treated as a constrained option rather than a universal recommendation.
Choose 4 GB when the service matters, when workflows process non-trivial JSON, or when you need room for maintenance and short-lived spikes. Move to more RAM, separate services or queue workers when measurements show sustained pressure; do not add complexity merely to match an illustrative minimum.
Frequently Asked Questions
Can n8n run on ARM-based VPS hardware?
It may, provided the n8n container image and every required dependency support the chosen architecture. Confirm image availability and test your deployment and native dependencies before committing production workloads to an ARM-only host.
How much bandwidth does an n8n VPS need?
There is no universal bandwidth quota because usage follows API calls, webhook traffic and file transfers. Estimate inbound and outbound payload volume, then leave headroom for backups, package updates and retries; large binary workflows can dominate transfer costs.
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Should PostgreSQL and n8n share the same VPS?
They can share a machine for a small installation if memory, storage and backup isolation are adequate. Separate them when database load, availability requirements or independent scaling justify the additional network and operational complexity.
What happens if the n8n encryption key is lost?
Encrypted credentials in a database backup may be unusable without the matching key. Store the key in a protected secrets system and include it in documented recovery procedures, while keeping it separate from publicly accessible backups.
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