Documentation
Run AI models without assembling the infrastructure around them.
QDivZero is an AI infrastructure platform for taking compatible models from Hugging Face and other supported sources into production. It finds GPU capacity, prepares the runtime and storage, operates the deployment and exposes it through an OpenAI-compatible API. The same platform also provides ready-to-use models, LLM Model Routing, LLM Firewall and Retrieval.
What changes with QDivZero
The difference is not another model endpoint. It is having the execution and operational layers behind that endpoint under one contract.
GPU provider or marketplace
A machine or raw accelerator capacity.
Your team validates the model, builds the runtime, manages storage, exposes serving and operates every deployment.
Managed model API
A ready endpoint from the provider's catalog.
Your model choice, pricing and behavior stay tied to that provider; changing execution can require another integration.
QDivZero
Model choice, multi-provider capacity, runtime, storage and a stable OpenAI-compatible endpoint.
You choose the model, capacity constraints and policies. QDivZero operates the shared platform behind them.
The QDivZero platform
Start with the layer you need. Every product uses the same account, API keys and operational model.
Built for the whole AI workflow
For companies
Consolidate model execution, usage, policies and provider decisions in one place, with clear capacity and metered pricing.
For AI and product teams
Test models and architectures without rebuilding deployment, routing and protection for every experiment.
For developers
Keep familiar OpenAI SDKs and request formats while QDivZero manages the infrastructure and control plane behind them.