United States
Cheapest PC for Local AI / LLMs
A PC for running local large language models (Ollama, LM Studio, llama.cpp). Sized around a popular mid-size model, with headroom to run many others.
Anchored on Qwen2.5 14B, a representative model for this workload. Every part is picked on technical fit — the reasoning is shown for each. Compatibility: Unknown.
The most VRAM available here (48 GB) — maximum context and headroom, well above the ~11 GB this model needs.
The AMD Threadripper 3990X handles heavy multitasking, data prep, and CPU-side tokenization alongside a top GPU.
Matches the CPU socket (AM4) and DDR4 memory; a solid value board with room to expand.
This model wants about 16 GB of system RAM; the 16 GB DDR4 kit covers it with headroom for the OS and offload.
2 TB of NVMe — local model files are large (tens of GB each), and NVMe keeps load times short.
Keeps the CPU cool and quiet under sustained load; compatible with the chosen socket.
Estimated system draw is about 758 W; the 1100 W unit leaves headroom for GPU power spikes and efficiency.
Fits the motherboard form factor and has clearance for the graphics card (435 mm).
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