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title: README
emoji: 🚀
colorFrom: indigo
colorTo: purple
sdk: static
pinned: false
tags:
- qubrid-ai
- inference
- llm
- image-generation
- speech-to-text
- vision
- ai-infrastructure
- gpu-cloud
- edge-ai
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/68a362d0cf6001435507cf24/FQWUvcuTPOy1lY8yM7whH.png
short_description: From $5 to $5B - AI Infrastructure for All
---
# Qubrid AI
**Open infrastructure for inference, deployment, and scale. Built for developers who ship.**
[Platform](https://platform.qubrid.com/playground) · [Docs](https://docs.platform.qubrid.com/) · [Discord](https://discord.com/invite/Btsqxa6ZnQ) · [Website](https://www.qubrid.com)
---
## Why Qubrid
Most AI infrastructure is either locked behind proprietary walls, painful to set up, or priced to punish you for growing. Qubrid is the alternative: open models, transparent pricing, and production-grade performance you can reach with a single API call.
No vendor lock-in. No opaque quotas. No infra babysitting.
---
## What's on the Platform
| Capability | What it covers |
|---|---|
| ⚡ **Inference API** | Text, vision, image generation, speech-to-text, multimodal |
| 🛠️ **Instant Playground** | Test any model in the browser, no code required |
| 🤗 **Bring Your Own Model** | Deploy models from Hugging Face directly |
| ☁️ **Cloud & Edge** | Run on GPU cloud or push to edge for low-latency workloads |
| 📈 **Usage-based pricing** | Pay only for what you use |
---
## Model Categories
- **LLMs & Text** -- chat, reasoning, instruction-following
- **Image Generation** -- diffusion models, high-speed generators
- **Vision & Multimodal** -- VLMs, OCR, document understanding
- **Speech-to-Text** -- fast, accurate transcription
- **Embeddings & RAG** -- retrieval-ready vector utilities
---
## Bring Your Own Model
If your model lives on Hugging Face, it can run on Qubrid.
Point us at your repo and we handle deployment, autoscaling, and monitoring. You get the same APIs, usage metrics, and performance tooling as every hosted model, for your own weights, on your own terms.
Experimentation to production, without the ops overhead.
---
## Get Started
Grab an API key at [platform.qubrid.com](https://platform.qubrid.com), then call any model:
```bash
curl -X POST "https://platform.qubrid.com/v1/chat/completions" \
-H "Authorization: Bearer QUBRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.2",
"messages": [
{
"role": "user",
"content": "Explain the main benefits of using a chat completion API for text generation."
}
],
"temperature": 1,
"max_tokens": 4096,
"stream": true,
"top_p": 1,
"enable_thinking": true,
"reasoning_effort": "max"
}'
```
Model IDs must match exactly as listed in the [docs](https://docs.platform.qubrid.com/inferencing/Serverless%20Models).
▶️ **Try the Playground:** [platform.qubrid.com/playground](https://platform.qubrid.com/playground)
---
## Community & Support
Questions, feedback, and build logs welcome.
💬 **Discord:** [discord.com/invite/Btsqxa6ZnQ](https://discord.com/invite/Btsqxa6ZnQ)
---
## Links
- 🌐 [qubrid.com](https://www.qubrid.com)
- 📄 [docs.platform.qubrid.com](https://docs.platform.qubrid.com/)
- 📝 [Blog](https://www.qubrid.com/blog-news)
- ✉️ [Contact](https://www.qubrid.com/contact)
---
*Qubrid AI: open models, real performance, zero headaches.* |