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Tailscale is the right call here. Exposing ports and managing firewall rules manually turns into a maintenance problem fast once you start adding services. One thing this setup trades away: you lose the Unified Memory advantage of Apple Silicon for inference.
On a Hetzner CX23, you're back to CPU inference or hitting external APIs. For anyone choosing between VPS and dedicated local hardware, the economics look very different depending on whether you're running local models or routing to Anthropic. VPS wins on reliability and isolation. Local wins on cost and inference speed. Did you run into any issues with Docker network bridging when Tailscale MagicDNS is active?
Thank you, Pawel you are absolutely right. It's amazing feedback that you have provided over here and a perspective as well on when to use the local setup. Thank you. I think it's a trade-off that one has to make. It's just that I would not be up front about putting an investment on Apple Silicon or a Mac Mini without fully understanding and scoping out the use case and ROI for myself. I think in that case it makes sense that you test out this setup, even if it means there are some issues and occasionally it's not working in your favor. You are testing out more like an MVP version in a less costly manner without up-front investment. Once you are happy with the flow, then of course there are ways you can optimize always by putting it locally and running it locally. In my next couple of articles, I talk about these concepts of why this setup is ROI and validation-oriented, and how you can further optimize or graduate yourself into the local setup. I have not yet encountered it because right now I'm not that much far into the usage of it. It has only been like this is probably the third week being on open clock, but I'll definitely be keeping in mind as I try to put my agents that I recently developed, especially for research activities, on content and in case there are such issues happening.
Is there any other use case for OpenClaw especially for content creators/writers? I ask this because most of the OpenClaw tutorials just shows how to run a telegram/whatsapp bot? I wonder what else can we explore safely/securely with this?
Thank you Vinayak, I am going to share 2-3 more articles in this course with practical use case implementations of where it can help on the content creators or writers journeys. Next Article will cover one use case for us in detail. It is not about the bot, it is more about those become the interfaces to your agents to execute and interact.
Tailscale is the right call here. Exposing ports and managing firewall rules manually turns into a maintenance problem fast once you start adding services. One thing this setup trades away: you lose the Unified Memory advantage of Apple Silicon for inference.
On a Hetzner CX23, you're back to CPU inference or hitting external APIs. For anyone choosing between VPS and dedicated local hardware, the economics look very different depending on whether you're running local models or routing to Anthropic. VPS wins on reliability and isolation. Local wins on cost and inference speed. Did you run into any issues with Docker network bridging when Tailscale MagicDNS is active?
That caused some unexpected behavior on my end.
Thank you, Pawel you are absolutely right. It's amazing feedback that you have provided over here and a perspective as well on when to use the local setup. Thank you. I think it's a trade-off that one has to make. It's just that I would not be up front about putting an investment on Apple Silicon or a Mac Mini without fully understanding and scoping out the use case and ROI for myself. I think in that case it makes sense that you test out this setup, even if it means there are some issues and occasionally it's not working in your favor. You are testing out more like an MVP version in a less costly manner without up-front investment. Once you are happy with the flow, then of course there are ways you can optimize always by putting it locally and running it locally. In my next couple of articles, I talk about these concepts of why this setup is ROI and validation-oriented, and how you can further optimize or graduate yourself into the local setup. I have not yet encountered it because right now I'm not that much far into the usage of it. It has only been like this is probably the third week being on open clock, but I'll definitely be keeping in mind as I try to put my agents that I recently developed, especially for research activities, on content and in case there are such issues happening.
Hey, thanks for this amazing article, Dheeraj!
Is there any other use case for OpenClaw especially for content creators/writers? I ask this because most of the OpenClaw tutorials just shows how to run a telegram/whatsapp bot? I wonder what else can we explore safely/securely with this?
Thank you Vinayak, I am going to share 2-3 more articles in this course with practical use case implementations of where it can help on the content creators or writers journeys. Next Article will cover one use case for us in detail. It is not about the bot, it is more about those become the interfaces to your agents to execute and interact.
Looking forward to! Thanks:)