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OPEN MODELS / Language models (LLM)

Run GLM-5.3-UNCENSORED-FP8 on a cloud GPU

GLM-5.3-UNCENSORED-FP8 is a Language models (LLM) model by dealignai. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Rent A100 from $46.72/hr
Parameters
753B
GPU memory needed
≈ 905 GB
License
mit
Downloads
3,281
Updated Sep 8, 2026

GPUs it fits on today

Our estimate is about 905 GB for inference with F8_E4M3 weights, including working memory. Real use depends on resolution, batch size and context length. With 4-bit quantization it needs about 544 GB.

GPUMemoryPer hour10 hours
16× A1001280 GB$46.72$467.20Rent
8× H2001120 GB$51.68$516.80Rent
8× H200 NVL1128 GB$52.56$525.60Rent
8× B2001432 GB$112.72$1,127.20Rent

Live starting prices from our catalog. You pay per second while the machine runs.

How to run GLM-5.3-UNCENSORED-FP8

  1. 01

    Rent a GPU

    Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.

  2. 02

    Open a terminal or Jupyter

    Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.

  3. 03

    Download and run the model

    Run the commands below. The weights download straight from Hugging Face to your machine.

pip install -U vllm
vllm serve dealignai/GLM-5.3-UNCENSORED-FP8 --host 0.0.0.0 --port 8000

Why run it yourself?

Your own LLM server has no per-token bill and no rate limit, and your data stays private. Pick a GPU by memory and serve the model with vLLM.

Questions

How much GPU memory does GLM-5.3-UNCENSORED-FP8 need?
By our estimate about 905 GB for inference (753B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run GLM-5.3-UNCENSORED-FP8?
From $46.72 per hour on 16× A100, billed per second. Ten hours cost about $467.20.
Do I need a subscription?
No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.

Try it on your own GPU in minutes

Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.

  • Per-second billing in USD
  • PyTorch and CUDA ready in minutes
  • Rent from ChatGPT or Claude too

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