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Run Qwen3.8-Flash-Next on Lium
Alibaba Qwen · Vision and text · 180B parameters · 360 GB BF16 weights · released 2026-08-24
It needs about 432 GB of VRAM. The cheapest setup that runs it is 8x A100-SXM4-80GB (640 GB), from $13.44 per hour, billed per second.
Other GPUs that run it
How to run it
Rent the pod above, open a terminal over SSH or Jupyter and serve Qwen/Qwen3.8-Flash-Next:
vllm serve Qwen/Qwen3.8-Flash-Next --tensor-parallel-size 8Claude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does Qwen3.8-Flash-Next need?
About 360 GB for the released BF16 weights, so plan on 432 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 Qwen3.8-Flash-Next?
8x A100-SXM4-80GB (640 GB). On Lium that setup costs from $13.44 per hour, billed per second with no minimum.
For AI agents (CLI install, agent skill, headless signup): llms-full.txt