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The RTX Spark is also sold in a mac mini form factor. That's pretty well suited for home inference.

Exactly. Get yourself a DGX spark and plug it in at home.

I meanwhile, run my ridiculously OP workstation class hardware as a server - 9995wx, 768GiB, rtx pro 6000 w/ 96GiB vram - at home, and my Asus ZenBook is light, cool, and long-lived.

Runs GLM 5.3 flash at 35 tok/sec while consuming only 15 GiB VRAM, and I can run a lot more stuff on there alongside.

That's slower than I would have expected for the RTX 6000, do you have figures for say Qwen 3.8 27B? That model fits completely on the card, that should push it a lot further.

I'm pretty certain I can get it to go faster by caching experts and whatnot (with experimental llama.cpp branches), but that would consume a lot more VRAM and it's fast enough as it is for playing around with, and I can leave it always loaded. It's like 50% CPU inference, with a few layers + router + kv cache on the GPU.

Unused VRAM is a crime now, I heard ;)

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