No discrete GPU, just the 14900K's 24 cores — how far can local AI go?

  Local AI runs on the 14900K even without a discrete GPU. Twenty-four cores and 32 threads with VNNI drive INT8-quantized small models through llama.cpp-style CPU inference, and a 7B-class quantized model fits in dual-channel DDR5 up to 192GB. The pinch stays bandwidth — two channels cap tokens per second, so interaction works while batch throughput does not. The iGPU only handles display and video decode; it contributes no AI compute.

  Treat it as a transition machine while the GPU is still on the way or the budget is spoken for: get RAG, embedding and small-model Q&A running on CPU first, then add the card for heavy generation. Where it genuinely shines is development, debugging and data prep; park it in front of multi-user serving and dual-channel bandwidth waves for help. A desktop i9 is for one-machine tinkering — multi-stream hosting belongs to machines with more memory channels.