Local DeepSeek Setup Tested on Three GPUs
Jaswanth04 · reddit · 2026-07-19
The author ran the DeepSeek-V4-Flash Q8 quantized version locally on an older platform: the 3 GPUs used were two RTX 3090s (24GB) and one RTX 5090 (32GB), paired with 128GB of DDR4 RAM and a Ryzen 3950X.
They provided the complete llama.cpp launch parameters, including multi-GPU layer split, tensor split, moving MOE layers to the CPU, disabling mmap, and using a 262144 context. They claimed this override tensor placement method leads to more balanced GPU utilization.
In terms of actual measured speed, prompt eval was around 37.9 tok/s, and generation was about 9.07 tok/s. The author believes it outperforms Qwen 3.5 v2 on coding tasks and asks how token speed can be further improved without upgrading hardware.
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