Builds / 2x RTX 3090

2x RTX 3090: Qwen3.8 27B W4A16 AutoRound on vLLM TP2, 91.2 tok/s prose (Tech2wild)

Last updated: 28 Oct 2026

Source: github.com ↗More source: github.com ↗📏 How measured: reported by the original source; RigBase re-checked the numbers at that source

GPU(s): 2x RTX 3090
Amazon · eBay (used) · Newegg
VRAM / unified memory (GB): 48
CPU: not stated
Motherboard: not stated
RAM: not stated
PSU: not stated
Other: 2× RTX 3090 (Ampere)
Reported total cost: not stated
Power: not stated

Measured speed (generation tokens/sec)

Model	Quant	Engine	tok/s	Prompt processing (tok/s)	Details
Qwen3.8 27B	W4A16 AutoRound + DFlash2	vLLM TP2, 1 stream	91.2	not stated	⚡ spec-decode (DFlash)📏 Single-stream prose decode as published in Tech2wild's recipe README (free-prose decode, single stream).

Numbers by Tech2wild (tonyd2wild); free-prose decode, single stream. RigBase read the GitHub README on 2026-10-28 and checked each figure against the text. RigBase did not re-run it. Speculative decoding (MTP/DFlash/DSpark) inflates predictable text; these rows prefer prose/code over counting peaks. Recipe license: MIT.

Source: https://github.com/tonyd2wild/Qwen3.8-27B-DFLASH2-AutoRound-W4A16-2x3090
https://github.com/tonyd2wild/Qwen3.8-27B-DFLASH2-AutoRound-W4A16-2x3090/blob/main/README.md

Blank fields = not stated in the source. We never estimate build data; GPU street prices above are separately sourced and dated.

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Preview: · How to use

Rent before you buy: try this model on a cloud GPU for a few dollars first: Runpod (referral link; sign up with Google to get the new-user bonus)

Quick answers: Can 2x RTX 3090 run Qwen3.8 27B?