$4,171

| Category | Component | Price | Rationale | Buy |
|---|---|---|---|---|
| gpu | 2x NVIDIA GeForce RTX 3090 (Used) | $1,798 | 48GB total VRAM across two GPUs. The RTX 3090 supports NVLink for combined memory pool. Used market price makes this the most cost-effective way to get 48GB VRAM. Runs Llama 3.1 70B at Q4. | |
| cpu | $449 | 16 cores handle the overhead of dual-GPU inference and heavy system loads. | ||
| motherboard | $549 | Workstation board with dual x16 PCIe 5.0 slots for dual GPUs. 10GbE, ECC support, and robust VRMs. | ||
| ram | 128GB DDR5-5600 (4x32GB) | $319 | 128GB enables CPU offloading for models that exceed 48GB VRAM. Also supports running Docker, databases, and heavy development alongside inference. | |
| storage | $299 | 4TB for a massive model library. Fast enough for rapid model swaps across the dual-GPU setup. | ||
| psu | $449 | 1600W for dual RTX 3090s (2x 350W TDP) plus full system. Titanium efficiency minimizes heat output. Digital monitoring for power tracking. | ||
| case | Fractal DesignFractal Design Define 7 XL | $199 | E-ATX case with room for dual 3-slot GPUs. Sound-dampened panels reduce noise from the dual-GPU setup. | |
| cooler | NoctuaNoctua NH-D15 chromax.black | $109 | Reliable air cooling. No interference with the GPU slots in the Define 7 XL. | |
| Total | $4,171 | |||
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AI models tested on this build's hardware.
| Model | Quant | Speed |
|---|---|---|
| Llama 3.1 70B Instruct | Q4_K_M | 12 tok/s |
| Qwen 2.5 72B Instruct | Q4_K_M | 11 tok/s |
| Qwen 2.5 Coder 32B Instruct | Q5_K_M | 22 tok/s |
| QwQ 32B Preview | Q5_K_M | 21 tok/s |
| Mixtral 8x7B Instruct | Q5_K_M | 30 tok/s |
| Code Llama 34B Instruct | Q5_K_M | 20 tok/s |
| FLUX.1 Dev | FP16 | — |
| LLaVA 1.6 13B | Q8_0 | 35 tok/s |
This is near the consumer ceiling. Next step is NVIDIA A6000 (48GB each) for professional cards, or move to cloud for 80GB+ A100/H100 workloads.
Last updated: 2026-03-01.