llamaperf

Qwen3.8 27B

on 2× NVIDIA RTX 3080 20GB · vLLM · 160,000 ctx

Tone: mixedNVIDIA hardware
Sep 18, 2026
Throughput
57.7 t/s gen · 2500.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
AWQ-INT4 (AWQ)
VRAM reported
40 GB

Use cases

agentictool-uselong-context

Summary

User reports Qwen3.8 27B at 57.7 t/s decode on two RTX 3080 20GB cards (40GB pool) at 160k context. Setup is vLLM in Docker on Unraid with the AWQ-INT4 quant, tensor-parallel-size 2, max-num-seqs 1, max-num-batched-tokens 16384, and GPUs throttled to 250W. Prefill is roughly 2,500 t/s at 10k context with 4.23s TTFT. Decode drops to about 51 t/s at 42k context and 43 t/s at 110k context; lifetime average across 611 agent requests is 47 t/s. User asks whether speeds can be improved.