Run n8n on Fluence Cloud
Self-host n8n on flexible CPU infrastructure for workflows, webhooks, scheduled jobs, and AI agents. Start on Shared CPU or get Dedicated CPU from $6.62/mo.
Built for n8n automation infrastructure
n8n connects workflows, agents, APIs, schedules, and business systems. Fluence provides the compute layer for hosting the services that keep those automations running.
Run n8n webhooks, APIs, scheduled workflows, workers, and background automation services on Fluence infrastructure.
Scale workflow execution
Use Shared CPU for variable workloads and Dedicated CPU for sustained workers, databases, and APIs.
Start from $6.62 per month
Run the starter Dedicated CPU configuration with 2 vCPU, 4 GB RAM, and 25 GB NVMe.
One architecture for self-hosted n8n automation
Host the n8n runtime on Fluence while keeping models, data, queues, integrations, and monitoring connected through the services your workflows use.
Runs on Fluence
n8n main and API Workflow workers
PostgreSQL and Redis Reverse proxy
Connect externally
OpenAI, Anthropic, Google SaaS and internal APIs
Business applications
Choose Shared or Dedicated CPU, storage, operating system, SSH access, region, and required networking settings.
Install Docker Compose and run n8n with persistent data, PostgreSQL, and your required environment configuration.
Add HTTPS, webhooks, Redis workers, model APIs, business integrations, monitoring, backups, and security controls.
Run n8n workflows, webhooks, and workers on Fluence compute while keeping application-specific services and third-party usage separate from the runtime layer.
No egress fees
Transparent daily pricing
Public IPv4 and persistent storage available
Note: Calculator estimates reflect only the CPU Cloud layer used for n8n hosting.
What you can build with n8n on Fluence
AI operations agents
Coordinate models, business tools, schedules, memory, approvals, and workflow logic for support or operations tasks.
Webhook automation hubs
Receive external events and route them through workflows, internal APIs, databases, and connected business systems.
RAG and knowledge workflows
Connect retrieval, memory, external data stores, and model providers through reusable automated workflow logic.
Back-office automation
Move data between applications, trigger approvals, transform records, and automate repetitive operational processes.
A global marketplace of compute
Access CPU infrastructure for n8n runtimes across providers and locations while managing deployment through one Fluence infrastructure layer.
FAQ
Can I run n8n on Fluence?
Is Fluence a managed n8n service?
Should I use Shared or Dedicated CPU?
Does n8n require GPU compute?
Can I use Docker Compose on Fluence?
Can n8n scale workers independently?
What costs sit outside Fluence compute?
