llamaperf

Qwen3.8 27B

on 2× NVIDIA RTX 5060 Ti 16GB · vLLM · 262,144 ctx

Tone: positiveNVIDIA hardware
Sep 22, 2026
Throughput
132.0 t/s gen · 4000.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
NVFP4
KV cache
FP8
MTP (Multi-Token Prediction)
on
VRAM reported
32 GB

Summary

User reports Qwen 3.8 27B NVFP4 on dual RTX 5060 Ti 16GB (32GB total VRAM) at 132 t/s decode for structured output and 72 t/s for prose, with ~4,000 tok/s prefill. Setup is stock vLLM 0.30.0 on headless Ubuntu with FP8 KV cache, full 262,144-token context, and MTP speculative decoding. GPUs are power limited to 150W with no throughput cost. Video input is disabled; the user notes this runs without an RTX 5090.