Local AI · Recipe · 4× RTX 3090

Qwen3.8 27B W4A8 with SGLang on 4× RTX 3090

Qwen3.8 27B W4A8 with SGLang on 4× RTX 3090: 145 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

145tok/sEveryday

1 request, prose prompt, with DFlash (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis34with thinkingno thinking 20

Engine

Engine
SGLang 0.5.19
Quantization
INT4 W4A8 + fp8 KV
Model family
Qwen3.8
Context
262,144
Parameters
27B dense
Creator
noonghunna
GitHub stars
2,471
Repo updated
Nov 2, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

Decode · 1 request

  • Everyday (decode)145 tok/sNarrativ-Prompt (800-Wort-Essay), mean wall TPS; @A1RM4X, NVLink (0,2)/(1,3), 220 W Source 
  • Peak (decode)245 tok/sCode-Prompt (Quicksort), mean wall TPS; @A1RM4X, NVLink (0,2)/(1,3), 220 W Source 

Prefill by context

  • 16K1,810 tok/s@A1RM4X, NVLink (0,2)/(1,3), 220 W Source 

What you need

Hardware
4 × NVIDIA RTX 3090
Weights
Engine
SGLang 0.5.19
Context
262,144 tokens

Notes

What matters before you rebuild it.

  • Experimental

Sources

Related recipes

← Back to overview

Local AI in your company?

In a workshop we work out which models and which hardware fit your tasks, and build the first agent on your infrastructure.