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Run Qwen-Image-2.1-Turbo on Lium

Alibaba Qwen · Image generation · 7.1B parameters · 32.4 GB BF16 weights · released 2026-10-09
It needs about 39 GB of VRAM. The cheapest setup that runs it is 2x RTX 3090 (48 GB), from $0.40 per hour, billed per second.

Other GPUs that run it

RTX A600048 GBfrom $0.42 / hourRent
4x Tesla V10064 GBfrom $0.84 / hourRent

How to run it

Rent the pod above, open a terminal over SSH or Jupyter and serve Qwen/Qwen-Image-2.1-Turbo:
vllm serve Qwen/Qwen-Image-2.1-Turbo --tensor-parallel-size 2
Claude Code and Codex can do all of it through the Lium CLI.

Frequently asked questions

How much VRAM does Qwen-Image-2.1-Turbo need?

About 32.4 GB for the released BF16 weights, so plan on 39 GB with room for activations and KV cache at a short context. Longer contexts and bigger batches need more.

What GPU should I rent to run Qwen-Image-2.1-Turbo?

2x RTX 3090 (48 GB). On Lium that setup costs from $0.40 per hour, billed per second with no minimum.
All open models
For AI agents (CLI install, agent skill, headless signup): llms-full.txt