An r/LocalLLaMA user shared a story about how much buyers overpay for prebuilt "AI systems." Their old AM4 desktop (Ryzen 5 5600, 64GB RAM, RX580, 1TB NVMe) didn't sell at 750 euros. After swapping in two Radeon R9700 cards, installing Fedora with Qwen and ComfyUI as a working demo, and pricing every part at new retail plus 150 euros, it sold almost instantly for 5,400 euros.

Key points:

- The seller then bought two brand-new R9700 cards from abroad for 250 euros less per card than they had charged, effectively selling the base system for about 1,300 euros instead of 750.

- Their takeaway: know the market for individual (and used) parts before buying a complete PC for local AI.

- The thread also touches on how the "AI" label alone can move hardware, especially when it's shown running models.

Our practical advice for buyers:

1. Price the build part by part (GPU, RAM, storage, PSU, board) using both new and used listings, then compare with the asking price.

2. For local LLMs, the numbers that matter most are VRAM per GPU, total system RAM, memory bandwidth, and software support for your GPU (CUDA, ROCm, or Metal). An older CPU or platform is often fine.

3. Ask the seller for a live demo with the exact model and quantization you plan to run, and check the tokens per second yourself.

4. Factor in warranty: a cheaper DIY build with new GPUs under warranty can beat a pricier prebuilt with none.

Have you bought or sold hardware for local AI? What would you pay for a dual-GPU setup like this? Let us know below.

Source: https://www.reddit.com/r/LocalLLaMA/comments/1xl4ckr/dont_people_pay_attention_anymore_when_buying/