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Run Ling-3.1-flash-1019 on Lium
Ant Group · Text generation · 572.1B parameters · 573.8 GB FP8 weights · released 2026-10-27
It needs about 689 GB of VRAM. The cheapest setup that runs it is 8x RTX PRO 6000 Server (768 GB), from $14.40 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 inclusionAI/Ling-3.1-flash-1019:
vllm serve inclusionAI/Ling-3.1-flash-1019 --tensor-parallel-size 8Claude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does Ling-3.1-flash-1019 need?
About 573.8 GB for the released FP8 weights, so plan on 689 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 Ling-3.1-flash-1019?
8x RTX PRO 6000 Server (768 GB). On Lium that setup costs from $14.40 per hour, billed per second with no minimum.
For AI agents (CLI install, agent skill, headless signup): llms-full.txt