llamaperf

Unknown family

on 2× NVIDIA V100 32GB · llama.cpp

NVIDIA hardware
Sep 7, 2026
Throughput
20.0 t/s gen
Quant
Q8 (GGUF)
VRAM reported
64 GB

Summary

User reports about 20 t/s generation with a Q8 quant on 2x V100 32GB GPUs, 64 GB of VRAM in total, using llama.cpp. The model family is not specified. User asks about running multiple concurrent instances or agents in parallel to raise aggregate throughput.