Local AI · Recipe · 8× RTX PRO 6000

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

Qwen3.8 27B FP8 with vLLM on 8× RTX PRO 6000: 121 tok/s according to github.com (dataset as of Nov 3, 2026).

by helixml

121tok/sPeak

1 request, best value reported by source

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

Engine

Engine
vLLM
Quantization
FP8 (Qwen/Qwen3.8-27B-FP8)
Model family
Qwen3.8
Context
—
Parameters
27B dense
Creator
helixml
GitHub stars
9
Repo updated
Oct 26, 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)121 tok/sDecode @ c1 mit MTP (Tiefe laut docs/models.md: 2 bestes; 117.9 bei Tiefe 2 in anderem Lauf) Source 

What you need

Hardware
8 × NVIDIA RTX PRO 6000 Blackwell
Weights
Engine
vLLM

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