Cheapest way to run GLM 5.x locally that's not a unified memory system?

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local-llm hardware-discussion cpu-inference multi-gpu quantization glm model-deployment

Summary

A discussion on the cheapest local hardware setups for running GLM 5.x and similarly sized models at 4-bit quantization, including CPU-only and multi-GPU options, with a user sharing their experience running Minimax 2.7 and Qwen 3.6 on a 5900X + 128GB DDR4 + 7900XT setup.

This is primarily an exercise to determine the possible options, obscure as they might be, to run at least a 4bit quant (let's say roughly IQ4\_XS). 1. Got a CPU only setup? Please share your experience. Sapphire Rapids ES 56core + DDR5 might be an option 2. Multi GPU setups with partial or complete offloading? What's your performance like? 3. It's not limited to GLM 5.x, anything similarly sized is ok too for the scope of this discussion. Personally, I'm running a 5900X + 128GB DDR4 + 7900XT 20GB. The largest model I can run is Minimax 2.7 from AesSedAI at Q4\_K\_S - [https://huggingface.co/AesSedai/MiniMax-M2.7-GGUF](https://huggingface.co/AesSedai/MiniMax-M2.7-GGUF) For smaller stuff, it's still Qwen 3.6 27B at IQ4\_XS from Unsloth/Bartowski.
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