DeepSeek V3 on 16x AMD MI50 GPUs: Budget Setup Guide

Someone got Deepseek V3 running on a budget GPU setup that crushes the usual CPU-based options.

The specs:

• 16x AMD MI50 GPUs (old mining cards, way cheaper than new hardware)
• AWQ 4-bit quantization
• 10 tok/s output, 2000 tok/s prompt processing
• 69,000 context length
• 2400W peak power draw

The whole setup guide is here: https://github.com/ai-infos/guidances-setup-16-mi50-deepseek-v32

Why it matters: With RAM prices climbing, old datacenter GPUs offer 16 TB/s bandwidth through tensor parallelism. That means way faster prompt processing than throwing more DDR5 sticks at the problem.

Next up they’re testing 32x MI50 cards for Kimi K2 models. Pretty solid path to local AI without dropping $300k+ on the latest hardware. The whole thing was pieced together by someone with regular dev skills and LLM help, not some ML engineering wizard.