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Run GLM-5.3-Flash on Lium
Z.ai · Vision and text · 321.3B parameters · 328.3 GB FP8 weights · released 2026-08-25
It needs about 394 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 zai-org/GLM-5.3-Flash:
vllm serve zai-org/GLM-5.3-Flash --tensor-parallel-size 8Claude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does GLM-5.3-Flash need?
About 328.3 GB for the released FP8 weights, so plan on 394 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-5.3-Flash?
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