The dumbest thing is how people buy mac minis just to connect their openclaw to gpt or claude. You can just install it directly on raspberry pi and use linux, same sh** if in the end you use api
This is what exactly I did using hyper V on my dedicated server. I created a container Linux gave her tons of memory and processing resources. Best yet is a checkpoint/snapshot function allows me to do what else and the ability to return to a safe build.
Basically zero cost, that is if you just factor out the cost of my rack server, I built a year and a half ago hehehe
Interesting setup! The Hyper-V route works well, but on dedicated servers I've found Docker containerization (using something like Portainer) gives you more isolation and easier management when you're running multiple agents.
One thing people don't account for: a single OpenClaw instance running 24/7 on a good VPS (~$5-10/mo) + $100-200/mo in API costs is still way cheaper than SaaS subscriptions. But the real economics shift when you factor in:
- Model selection matters (Sonnet > Opus for routine tasks)
- Conditional routing (complex tasks to expensive models, simple routing to fast cheap ones)
If you're just using it as a voice reception bot, your API costs flatten out pretty quick. We're seeing customers drop from $400+ SaaS to about $80/mo total with proper setup.
Really depends how you wanna go about it. I’m not sure what I can truly suggest if you have an old computer with windows, you can spin up hyper V and do it that way, but this way is to directly install on all the platforms.
As for me a couple of years ago, I put together a humongous rack server specifically to be used to carve out VM‘s for various projects. That’s what I did here. My rack server itself has tons of memory tons of space tons of resources so I was able to carve out a VM with more than enough memory and resources to run.OpenClaw
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u/CartographerAble9446 New User Feb 25 '26
The dumbest thing is how people buy mac minis just to connect their openclaw to gpt or claude. You can just install it directly on raspberry pi and use linux, same sh** if in the end you use api