Local vs Cloud: How to Choose the Right OpenClaw Deployment

The Deployment Decision

One of the first decisions when deploying OpenClaw is where to run it. Both local and cloud deployments are fully supported, and the right choice depends on your priorities: privacy, reliability, cost, or convenience.

Option 1: Cloud VPS (Recommended for Most Businesses)

Deploy OpenClaw on a virtual private server from providers like Hetzner, DigitalOcean, Contabo, or AWS.

How It Works

You rent a virtual server that runs 24/7 in a data center. OpenClaw is installed on this server and is always accessible from anywhere. Remote management via SSH or Tailscale.

Advantages

• 24/7 uptime: Your AI assistant runs even when your laptop is closed or your office loses power
• Reliable connectivity: Data centers have redundant internet connections and power supplies
• Easy scaling: Need more RAM or CPU? Resize the VPS in minutes
• Global reach: Choose a server location close to your customers for lower latency
• No hardware maintenance: Provider handles physical hardware, networking, and cooling
• Automatic backups: Most providers offer daily snapshot backups

Disadvantages

• Monthly cost: $5-$50/month depending on resources (most businesses: $10-$20/month)
• Data on third-party hardware: Your conversations are stored on the VPS provider's infrastructure
• Internet dependency: If the data center has an outage (rare), your bot goes offline

Recommended VPS Specs

• Single channel, light usage: 2GB RAM, 1 vCPU, 20GB SSD (~$5-$7/mo)
• Multi-channel, moderate usage: 4GB RAM, 2 vCPU, 40GB SSD (~$10-$15/mo)
• Heavy usage with browser automation: 8GB RAM, 4 vCPU, 80GB SSD (~$20-$40/mo)

Option 2: Local Machine (Your Own Hardware)

Run OpenClaw on a Mac, Windows PC, Linux server, or even a Raspberry Pi in your office or home.

How It Works

OpenClaw runs directly on a machine you physically control. For external access, you use Tailscale Serve/Funnel or port forwarding through your router.

Advantages

• Maximum privacy: All data stays on hardware you physically control — never touches third-party servers
• No monthly hosting cost: Use existing hardware or a one-time purchase
• Local AI models: Run Ollama with Llama, Mistral, or other local models for zero API costs
• Low latency: No network hops for local-only usage
• Compliance-friendly: Easier to demonstrate data sovereignty for regulated industries

Disadvantages

• Uptime depends on you: Power outages, network issues, and hardware failures are your responsibility
• Remote access complexity: Requires Tailscale, dynamic DNS, or port forwarding setup
• Hardware limitations: Upgrading means buying new hardware, not clicking a button
• Maintenance burden: OS updates, security patches, and hardware monitoring fall on you
• Internet requirements: Your home/office internet needs to support incoming webhook connections

Minimum Hardware Requirements

• CPU: Any modern dual-core processor
• RAM: 2GB minimum, 4GB+ recommended. 8GB+ if running local AI models
• Storage: 20GB+ SSD
• Network: Stable internet with ability to receive webhooks (or use Tailscale Funnel)

Option 3: Hybrid (Best of Both Worlds)

Run OpenClaw gateway on a cloud VPS for reliability, but use a local machine for resource-intensive tasks like local AI models or browser automation.

• Cloud VPS handles messaging, routing, and 24/7 availability
• Local machine runs Ollama for free AI inference or Playwright for browser tasks
• Connected via Tailscale for secure private networking

Cost Comparison (First Year)

• Cloud VPS: $120-$600/year hosting + setup fee = $620-$2,100 total
• Local (existing hardware): $0 hosting + setup fee + electricity = $500-$1,600 total
• Local (new hardware): $200-$1,000 hardware + setup fee = $700-$2,500 total
• Hybrid: $60-$180/year (small VPS) + local hardware costs

Our Recommendation

For 90% of businesses, a cloud VPS is the right choice. The $10-$20/month cost is insignificant compared to the reliability, 24/7 uptime, and zero-maintenance benefits.

Choose local deployment only if:

• You have strict data sovereignty requirements (healthcare, legal, government)
• You want to run local AI models exclusively (zero API costs)
• You have existing server infrastructure and IT staff