Local AI · Recipe · 1× RTX PRO 6000

Qwen3.8 27B FP8 with SGLang on 1× RTX PRO 6000

Qwen3.8 27B FP8 with SGLang on 1× RTX PRO 6000: 109 tok/s according to github.com (dataset as of Nov 3, 2026).

by jpezzulli

109tok/sPeak

1 request, best value reported by source

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

Engine

Engine
SGLang
Quantization
FP8 (offiziell)
Model family
Qwen3.8
Context
524,288
Parameters
27B dense
Creator
jpezzulli
GitHub stars
188
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

  • Peak (decode)109 tok/scontext 136 Prompt · Post-first-token; Messung laut README mit einem Derivat gleicher Architektur und Quantisierung (FP8), nicht mit dem offiziellen Checkpoint Source 

Prefill by context

  • 63906 Token6,163 tok/sTTFT 10.369 s; Messung laut README mit einem Derivat gleicher Architektur und Quantisierung (FP8), nicht mit dem offiziellen Checkpoint Source 

What you need

Hardware
1 × NVIDIA RTX PRO 6000 Blackwell
Weights
Engine
SGLang
Context
524,288 tokens

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