this post was submitted on 17 Oct 2026
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Is anyone self-hosting their own AI? (lemmy.zip)
submitted 14 hours ago by StateMachine@lemmy.zip to c/selfhosted@lemmy.world
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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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[–] Shimitar@downonthestreet.eu 8 points 13 hours ago* (last edited 13 hours ago)

Yes i do.

I esperiment a lot, but my stable setup is Qwen 3.8 27B Q6_K on my home server. Hardware is Ryzen 9 5950x with 64gb ddr4 and two old but effective NVIDIA RTX A4000 for a total of 32gb VRAM.

Qwen 3.8 is the best model I can run in terms of output quality. It can perform all tasks pretty well and it's reasonably fast at 500ts prefill and 30/40ts processing. There are much faster models but honestly not as good.

I can also run gemma4 all on CPU, with no GPU at all.

The key point is having both GPU on pci-e CPU, not on chip set bridge, so I am using a PCI riser 8x8x to share the 16x slot between the two GPUs. Inference speed is unaffected, but prefill benefits immensely.

Software side, use llama.cpp on Linux, you get the best performance possible at the expense of a bit more complexity compared to other engines.

From a power consumption perspective, I tined down my CPU governor and maximum frequency, and also the GPUs maximum watts. At ide the system is around 80w. At peak, it's about 280w with the limiters, and inference speed doesn't suffer too much. Without limiters I can easily reach 650w.

Edit: I run llama-swap in front of llama-cpp, and openwebui as agent manager/ web GUI. I also have ComfyUI installed because why not but seldomly use it.

You can read more of my setup on my wiki https://wiki.gardiol.org/8-llm-and-ai (no ads, no monetization whatsoever because fuck a hobby should not be a side gig)