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 server at once. If you're running a 70B or even 104B... Weiterlesen: vLLM on 4 GPUs / 64GB: A Multi-Model Benchmark — For a Home Multi-Hos…
Intelligence View
⚡ tsecurity.de Intelligence
vLLM on 4 GPUs / 64GB: A Multi-Model Benchmark — For a Home Multi-Host Setup, I'd Go with vLLM
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…
Intelligence Digest — free The top security news daily · unsubscribe anytime