$4,032

| Category | Component | Price | Rationale | Buy |
|---|---|---|---|---|
| gpu | $2,199 | 32GB VRAM, Blackwell architecture. Top consumer GPU for AI inference and training. | ||
| cpu | $549 | 16-core Zen 5. Handles preprocessing, multi-model workflows, and heavy compilation. | ||
| motherboard | $449 | ProArt platform for creators. PCIe 5.0, robust power delivery, dual M.2. | ||
| ram | 64GB DDR5-6000 (2x32GB) | $129 | 64GB for large model loading and multi-tasking. | |
| storage | $159 | Fast PCIe 4.0 NVMe. 2TB holds many models and datasets. | ||
| psu | $249 | 1200W for RTX 5090 headroom. Platinum efficiency, digital monitoring. | ||
| case | Fractal DesignFractal Design Torrent | $189 | Exceptional airflow. Fits large GPUs and coolers. | |
| cooler | NoctuaNoctua NH-D15 chromax.black | $109 | Dual-tower air cooler. Quiet, reliable, no AIO maintenance. | |
| Total | $4,032 | |||
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AI models tested on this build's hardware.
| Model | Quant | Speed |
|---|---|---|
| Llama 3.3 70B Instruct | Q5_K_M | 55 tok/s |
| Qwen 2.5 Coder 32B Instruct | Q8_0 | 85 tok/s |
| DeepSeek R1 Distill Qwen 32B | Q5_K_M | 60 tok/s |
| Stable Diffusion XL 1.0 | FP16 | — |
| Llama 3.1 8B Instruct | Q8_0 | 120 tok/s |
| Stable Diffusion 3 Medium | FP16 | — |
This is the current consumer peak. Multi-GPU via a second RTX 5090 requires a different motherboard and PSU.
Last updated: 2026-03-01.