# Deploy moondream3-preview on dedicated GPUs

moondream3-preview by Moondream, deployable on sference as a dedicated deployment: reserved GPU capacity, private endpoint, European GPUs, billed per GPU-hour on monthly commitments. Request it at https://sference.com/models/moondream/moondream3-preview.

## Specs

- Hugging Face: https://huggingface.co/moondream/moondream3-preview
- Category: Vision & multimodal
- Parameters: 9.3B
- Architecture: Dense
- Context: 31K tokens
- Published precision: BF16
- Checkpoint size: 37 GB
- Minimum footprint: 1 GPU (80 GB) or 1 GPU (141 GB) to load the weights; more for long contexts and concurrency
- License: Custom license (Review terms)

## FAQ

### Can I run moondream3-preview on a dedicated deployment in Europe?

Yes. sference deploys moondream3-preview on GPU capacity reserved for you, behind a private endpoint, with every request processed on European GPUs and logged in your audit trail. Tell us your expected volume and latency targets with the form on this page and we come back with a sizing and a quote.

### How many GPUs does moondream3-preview need?

The published checkpoint is about 37 GB (BF16), so loading it takes at least 1 GPU with 80 GB of memory each, or 1 GPU with 141 GB each. Long contexts and high concurrency need more for the KV cache; quantization needs less. You don't pick hardware on sference: you choose a performance tier and we size the deployment.

### Is moondream3-preview licensed for commercial use?

moondream3-preview is published under the Custom license license. Custom license from the model maker. Review the terms on the model page before production use.

### How is a dedicated deployment priced?

Per GPU-hour on a monthly commitment, sized to your throughput and latency targets.

Facts from Hugging Face, synced 2026-10-27. All deployable models: https://sference.com/dedicated.md