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Run GLM-5 on Lium
Z.ai · Text generation · 753.9B parameters · 1507.7 GB BF16 weights · released 2026-02-11
It needs about 1810 GB of VRAM. The cheapest setup that runs it is 8x B300 SXM6 (2304 GB), reference $64.00 per hour, billed per second.
How to run it
Rent the pod above, open a terminal over SSH or Jupyter and serve zai-org/GLM-5:
vllm serve zai-org/GLM-5 --tensor-parallel-size 8Claude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does GLM-5 need?
About 1507.7 GB for the released BF16 weights, so plan on 1810 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 GLM-5?
8x B300 SXM6 (2304 GB). On Lium that setup costs reference $64.00 per hour, billed per second with no minimum.
For AI agents (CLI install, agent skill, headless signup): llms-full.txt