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Head-to-Head Technical Benchmark

n8n vs Ollama

Technical hardware and popularity breakdown for self-hosting n8n and Ollama on cloud VPS servers.

Canonical Comparison URL: /compare/n8n-vs-ollama
Interactive Tool Matchup

Switch Matchup or Select New Apps

Change Candidate A or Candidate B to compare specs against any open-source tool in the directory.

VS
Candidate A

n8n

n8n-io/n8n
★ 56.4k

Fair-code workflow automation platform with 400+ native integrations and custom JS/Python nodes.

Min RAM
2 GB
Lower RAM
CPU Cores
1 vCPU
Disk Storage
20 GB
Deploy n8n Docker Compose →
Candidate B

Ollama

ollama/ollama
★ 0

Get up and running with Llama 3, Mistral, Gemma, and other large language models locally.

Min RAM
8 GB
CPU Cores
4 vCPU
Disk Storage
50 GB
Deploy Ollama Docker Compose →

Full Technical Benchmark Breakdown

Specification n8n Ollama Advantage
Primary Category automation ai-llms —
Minimum RAM Required 2 GB 8 GB n8n (6 GB lighter)
GitHub Stars ★ 56,400 ★ 0 n8n (+56,400 stars)
GitHub Forks 7,800 0 n8n
License Sustainable-Use FOSS Open-Source
Primary Language TypeScript N/A —
Docker Image docker.n8n.io/n8nio/n8n:latest ollama/ollama:latest Both Container Ready
Multi-App Server Sizing

Can You Run Both n8n & Ollama Together?

Yes! Running both simultaneously requires approximately 14 GB RAM including host OS and Docker daemon buffers. A single standard $6-$10/mo cloud VPS easily hosts both without bottlenecks.