Build a 250GB VRAM Local AI Workstation for $7,000
dtdisapointingresult · reddit · 2026-07-16
With the recent release of several mid-sized large models, running ultra-large models locally has become feasible. Developers have discovered that by connecting two DGX Spark units via a Connect-X7 cable, you can achieve roughly 250GB of usable VRAM for just around $7,000.
Supported Model Ecosystem
- This setup is capable of running multiple heavyweight models at 4-bit quantization, such as GLM 4.5/4.6/4.7 (194GB) and Qwen 3.5 397B (210GB).
- Recent optimized options include MiniMax M2.7 (131GB), Deepseek V4 Flash (160GB), Xiaomi MiMo 2.5 (181GB), and Tencent Hy3 (182GB).
The author believes that while the hardware cost is high, the price-to-performance ratio for model inference is quite reasonable. They recommend spending a small amount to test these models via platforms like OpenRouter before investing heavily in hardware.
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