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Does anyone run their own AI service?

If so,

Which one?

What hardware?

Do you have a way to access it from outside or from a phone?

And, if you're open to sharing, what do you do with it?

I know AI-enabling hardware is insanely expensive right now, but some of the smaller (<32GB) more efficient models (think deepseek- or qwen-based) don't absolutely need specialized hardware to run and perform well enough for many purposes.

I am so aware of the absolutely abysmal privacy practices of basically all AI companies that I'm not comfortable using them to help me with web searches and the such, because there's no way that all this information won't be going into a profile. This makes me want to have my own "helper" service.

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[-] twilightwolf90@lemmy.world 6 points 6 days ago* (last edited 6 days ago)

A quick glance shows that I'm in the minority. I grabbed a Bosgames M5 with 128GB UMA RAM when I discovered openclaw (at the time claudebot). I'm running Lemonade, which is a wrapper for llama.cpp, sd-cpp, flux, and others. I'm happy to have paid a "mere" $2400 compared to what similar systems cost now, and now I'm toying with fine tuning my own models. Though, I primarily run Hermes Agent paired with Qwen3.6 35b A3B (using a heretic ablitieration for 0 refusals).

Hermes Agent does a lot of random stuff for me right now. It manages my calendar and to-do list in nextcloud via MCP server. It created and maintains an llm-wiki based on my Obsidian Vault. Then it creates a report every morning about both and the weather.

The server has tailscale installed, so yes I can access it anywhere.

[-] mal3oon@lemmy.world 1 points 3 days ago

Try gufo with qwen 3.8 flash next. Much much better than 3.6-35B.

[-] twilightwolf90@lemmy.world 1 points 3 days ago

How well does it handle concurrency? I could see this as a vast improvement on llamacpp, but I was already speccing out vLLM.

this post was submitted on 17 Oct 2026
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