I turned an asymetric pair of Tesla V100s PCIe both (16 GB + 32 GB) into a surprisingly capable local LLM lab — 1.38k prompt tok/s, 40 decode tok/s with qwen3.8 27B Q6 and Q8...

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TL;DR: I run a mismatched Tesla V100-PCIE pair—one 16 GB card and one 32 GB card, 48 GB total—in a Proxmox/LXC-based local-inference lab. The practical winner so far is a recent CUDA build of llama.cpp with tensor split, Flash Attention, --numa distribute , and large batches. On Qwen3.8 27B Q6_K_M I measured 1,376.9 prompt tok/s at 2k , 1,324.3 prompt tok/s at 4k , 1,221.5 prompt tok/s at 16k , and 39.9 decode tok/s . I also made Qwen3.8 Flash Next Q4 GGUF of a 177 B/6B-active MoE model run acro