llamaperf

Qwen3.8 125B (6B active) Flash-Next

on 2× NVIDIA RTX 3090 · vLLM · 131,072 ctx

NVIDIA hardware
Oct 5, 2026
Throughput
84.2-88.8 t/s gen · 3401-3413 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
W4A16 (safetensors)
KV cache
BF16
System RAM
128 GB
VRAM reported
24 GB

Summary

User reports Qwen3.8-Flash-Next on two RTX 3090s with 128 GB RAM, reaching 3,401–3,413 tok/s prefill and 84.2–88.8 tok/s decode on a 131,099-token prompt. Setup is vLLM with W4A16 AutoRound weights, BF16 KV cache, FP8 PLE table, MTP3 speculative decoding, and CPU expert offload. The 64 GB RAM profile runs both cards with 64 GB system RAM, keeping 88 experts per layer on each GPU and streaming the rest from RAM; prefill uses 8,192-token chunks. A single RTX 3090 with 64 GB RAM reaches 2,106 tok/s prefill and 47.4 tok/s decode at 131K context.