
Why I Run 9 AI Agents on a $50/Month Server Instead of the Cloud
Last month someone asked me what it costs to run 23 AI agents across five businesses. When I told them the infrastructure was $50 a month, they assumed I meant per agent. I meant total. Not per agent. Not per business. Total monthly spend on the physical infrastructure running nine agents on a single VPS, plus four more on a local Mac Mini. Fifty dollars. Here is how that works, what it costs on the model side, and why I made this choice over the cloud alternatives. The Hardware VPS: $50/month Nine agents live on a virtual private server running Ubuntu 22.04. The specs are not impressive: 4 vCPUs 8GB RAM 200GB SSD 1Gbps unmetered bandwidth For a web app, this would be underpowered. For AI agents, it is more than enough. Agents are not compute-heavy — they spend most of their time waiting on API responses. The server is rarely above 30% CPU utilization even when multiple agents are active simultaneously. Each agent runs as a separate systemd user service: # List running agent services s
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