Deploy QwQ 32B
Text & ChatCatalogue notes · not a new performance benchmark
QwQ is a 32B reasoning model from Alibaba specialized in math and logic. It excels at mathematical proofs, competitive programming, and structured reasoning tasks where precision matters more than general knowledge.
Review a QwQ 32B setup
Specifications
| Model | GPU | VRAM | Configured estimate | Action |
|---|---|---|---|---|
QwQ 32B 32B (Math/Logic) | 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 a 48GB cloud GPU to this deployment. 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
- ✓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?
Pricing varies by hardware and storage. Review the current quote and spending controls before starting.
How long does QwQ 32B 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 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?
Pick a configuration, review its dependencies, licence, current quote and spending controls, then choose whether to start.