CPU-heavy systems still matter for local AI when you need RAM capacity, multitasking, and general workstation behavior around the model runtime.
Buying tip: Treat these as balanced productivity machines, not as a substitute for real GPU VRAM when model size is the bottleneck.
Each route pairs a scenario with a model and GPU that fit at Q4 VRAM, so you can jump to compatibility or continue with guided hardware decisions.
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