Deploy GLM
Text & ChatGLM models from Zhipu AI support Chinese and English language tasks. GLM-Z1 variants add reasoning capabilities. Compare the available sizes and check the selected model’s license before use.
Set up a GLM workspace
Starting at $0.66/hr on dedicated GPU
Model configurations (3)
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
GLM-4 9B 9B (Bilingual) | L4 | 24 GB | $0.66/hr | Deploy |
GLM-Z1 9B 9B (Reasoning) | L4 | 24 GB | $0.66/hr | Deploy |
GLM-Z1 32B 32B (Deep Reasoning) | RTX A6000 | 48 GB | $0.72/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
The listed configuration specifies 24–48GB cloud GPUs across the listed variants. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.
On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.66/hr. Review the template’s required setup steps and settings before launch.
Use Cases
- Chinese-English bilingual AI
- Bilingual customer support
- Chinese content generation
- Fast reasoning tasks
Related Models
Frequently Asked Questions
How much GPU memory is allocated for GLM?
The listed ModelPilot variants use 24–48GB cloud GPUs. Local memory needs vary with the variant, precision, quantization, and workflow settings.
How much does it cost to run GLM?
Starting at $0.66/hr on a dedicated GPU. Charges are calculated from actual running time, with auto-stop when credits run out.
How long does GLM take to deploy?
Startup time depends on model downloads, container setup, cached files and GPU availability. Review the estimate for your selected template; it is not a guaranteed time to a finished result. Dedicated GPU time is billed while allocated, including startup.
Can I run GLM on my local GPU?
It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.
Ready to deploy GLM?
Choose a GPU, review the estimated rate, and check the template’s setup requirements before launching.