vLLM on 4 GPUs / 64GB: A Multi-Model Benchmark — For a Home Multi-Host Setup, I'd Go with vLLM
This story is from 2026-10-30. It is preserved in the archive; the latest stories are on the live feed.
A while back I benchmarked llama.cpp on a 96GB GPU setup and found its concurrency behavior underwhelming. That isn't llama.cpp's fault. From the start it was built to solve the capacity problem — "this model won't fit in one machine's VRAM" — not the throughput problem of many users hitting the se…
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- 2026-10-30 09:20 · DEV Community — AI
vLLM on 4 GPUs / 64GB: A Multi-Model Benchmark — For a Home Multi-Host Setup, I'd Go with vLLM
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