Deploy QwQ 32B
Text & ChatQwQ is a 32B reasoning model from Alibaba for mathematics, programming and logic tasks. Review generated answers before relying on them.
Set up a QwQ 32B workspace
Starting at $0.72/hr on dedicated GPU
Specifications
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
QwQ 32B 32B (Math/Logic) | RTX A6000 | 48 GB | $0.72/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
The listed configuration specifies a 48GB cloud GPU. 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 $0.72/hr. Review the template’s required setup steps and settings before launch.
Use Cases
- Mathematical proofs and calculations
- Competitive programming
- Logic puzzles and formal reasoning
- Scientific computation
Related Models
Frequently Asked Questions
How much GPU memory is allocated for QwQ 32B?
The listed ModelPilot deployment uses a 48GB cloud GPU. Local memory needs can vary with precision, quantization, and workflow settings.
How much does it cost to run QwQ 32B?
Starting at $0.72/hr on a dedicated GPU. Charges are calculated from actual running time, with auto-stop when credits run out.
How long does QwQ 32B 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 QwQ 32B 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 QwQ 32B?
Choose a GPU, review the estimated rate, and check the template’s setup requirements before launching.