llamaperf

Qwen3.8 27B

on NVIDIA RTX 3090 · llama.cpp · 229,376 ctx

Tone: negativeNVIDIA hardware
Sep 7, 2026
Throughput
59.7 t/s gen · 1046.9 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
Q6_K_XL (GGUF)
KV cache
F16
Flash Attention
on
VRAM reported
24 GB

Summary

User compares llama.cpp built with -DGGML_CUDA_NCCL=OFF against the same build with it ON on 2x RTX 3090. Setup is the unsloth/Qwen3.8-27B-GGUF UD-Q6_K_XL model at 229k context with an F16 KV cache, tensor split 24,24, and speculative decoding with draft-mtp. NCCL ON degrades performance: PP 1046.92 vs 958.58 t/s and TG 59.67 vs 54.80 t/s.