对比云端 AI 代理的高昂运营成本与运行本地模型的一次性硬件投入。

If you have your OpenClaw working 24/7 using frontier models like Opus, you're easily burning $300 a day.

That's $100,000 a year.

I have 3 Mac Studios and a DGX Spark running 4 high end local models (Nemotron 3, Qwen 3.5, Kimi K2.5, MiniMax2.5). They're chugging 24/7/365. I spent a third of that yearly cost to buy these computers

I'll be able to use them for years for free

On top of that they're completely private, secure, and personalized.

Not a single prompt goes to a cloud server that can be read by an employee or used to train another model

I hope this makes it painfully obvious why local is the future for AI agents. And why America needs to enter the local AI race.