Deploy GLM
Text & ChatCatalogue notes · not a new performance benchmark
GLM models from Zhipu AI are optimized for bilingual Chinese and English tasks. GLM-Z1 variants add deep reasoning capabilities, competing with DeepSeek R1 at up to 8x faster inference. All models use MIT license.
Review a GLM setup
Available Variants (3)
| Model | GPU | VRAM | Configured estimate | Action |
|---|---|---|---|---|
GLM-4 9B 9B (Bilingual) | L4 | 24 GB | Review current price | Deploy |
GLM-Z1 9B 9B (Reasoning) | L4 | 24 GB | Review current price | Deploy |
GLM-Z1 32B 32B (Deep Reasoning) | RTX A6000 | 48 GB | Review current price | Deploy |
These configured estimates include the service fee and configured disk. Review the current quote before starting. Capacity, startup and output quality are not verified by this table.
Requirements
ModelPilot assigns 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) with a current quote and spending controls shown before you start.
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?
Pricing varies by hardware and storage. Review the current quote and spending controls before starting.
How long does GLM take to deploy?
Startup depends on capacity, image and model downloads, and runtime readiness. The deployment page reports progress; a catalogue entry does not guarantee a startup time.
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?
Pick a configuration, review its dependencies, licence, current quote and spending controls, then choose whether to start.