Docker vs Docker Swarm for AI | AI Engineering Wiki

You want to set up Ollama, n8n, Grafana and Team-Chat. Now the question: Docker Compose or Docker Swarm? The answer determines how your stack scales.

Docker Compose in 60 Seconds

Docker Compose is the best friend of every developer. You write adocker-compose.yml, define your services (Ollama, PostgreSQL, Redis, Grafana) and start with docker-compose up. Everything runs on your local machine or a single server.

When Compose is perfect:

Single-machine setups (laptop, one physical server)
Development environments
Small hobby projects
Learning infrastructure
GPU-intensive workloads (Ollama with A100 or 3090)

Docker Swarm in 60 Seconds

Docker Swarm is Dockers built-in orchestration platform. You cluster 3+ machines, define managers and workers, and the cluster takes over: service scheduling, load balancing, rolling updates, service discovery, high availability.

The Direct Comparison

Feature	Docker Compose	Docker Swarm
Setup Complexity	5 minutes	30 minutes (one-time)
Multi-Host Support	❌ No	✅ Yes (3+ Nodes)
High Availability	❌ No (SPOF)	✅ Yes
Rolling Updates	Manual stop/start	Built-in (Zero-Downtime)
Load Balancing	❌ No	✅ Yes
GPU Passthrough	Simple	Node Constraints needed

When to Use What?

✅ Use Docker Compose if:

• One machine. Nothing more planned.
• Experimenting. Learning Ollama, n8n.
• GPU-only. Whole stack on one 3090.
• No uptime needed. Hobby project.

✅ Use Docker Swarm if:

• 3+ VMs/servers. Proxmox cluster.
• Production. Replicas, rolling updates.
• Complex stack. 9+ services.
• Team infrastructure.

Docker Compose vs Docker Swarm