01Manage
Everything you have running, in one place.
View your models, deployments, and endpoints from a single platform and keep a clear picture of what each application is using.
Models · Deployments · Endpoints
The QDivZero platform
AI infrastructureplatform.
Models, compute, and connected tools to build and run AI applications.
Your entire AI environment starts in one place.
QDivZero brings together the models you use, the endpoints connected to your applications, and the tools you build around them in one platform. Move from development to production and add new capabilities without spreading your stack across different interfaces and integrations.
Open the platform02Connect
One consistent way to access your models.
Access your deployments from your applications through endpoints and an OpenAI-compatible API, without creating a separate integration for every model.
API · Endpoints · Integrations
03Extend
Add capabilities to what you already have.
Connect LLM Model Routing, Retrieval, RAG, or LLM Firewall as your application needs them, within the same environment where you already work with your models.
Routing · Retrieval · RAG · Security
You should not have to choose a platform simply because it happens to offer the model or GPU you need. QDivZero gives you access to thousands of models and automatically finds compatible capacity across a multi-provider network to run them with a strong balance of price and compute.
View pricingMore models to choose from. Less infrastructure to figure out.
Do not limit yourself to a small catalog.
Run text, image, video, audio, embedding, and multimodal models, including thousands of models available on Hugging Face, as well as your own models.
Hugging Face · Open-weight · Custom models · Multimodal
Do not search for GPUs model by model.
Memory, architecture, and hardware requirements vary between models. QDivZero checks which infrastructure is compatible and finds capacity across different providers to get them running.
Multi-provider network · GPU · Automatic compute selection
Choose how you want to pay.
Use balance, Unlimited Basic, or both in the same account. Public Models deduct balance by token and dedicated deployments by active compute time. Unlimited Basic includes Qwen 3.8 27B for a fixed monthly fee and does not use balance.
Usage balance · Active compute · Unlimited Basic
Beyond frontier models.
Frontier APIs are great for getting started, but they can become expensive to scale when every request, user, and task runs through maximum-capability models. Many of those workloads do not need a frontier model.
Explore modelsThat is where the open-weight ecosystem comes in: specialized models for RAG, classification, code, extraction, embeddings, assistants, and many other tasks. QDivZero lets you choose from thousands of them and move them into production without managing their infrastructure separately.
The goal is not to replace frontier models, but to use them where they truly add value. For many other workloads, the open-weight ecosystem offers specialized alternatives and much greater freedom of choice.
Beyond frontier models
Much of your workload does not need frontier. RAG, classification, code generation, information extraction, embeddings, internal assistants, and many other business tasks can be handled with open-weight models. The space where you truly need a frontier model may be much smaller than it seems.
Open-weight ecosystem
Thousands of models for everything else. Text, code, image, video, audio, embedding, and multimodal models from different developers. QDivZero opens this ecosystem so you can choose the right model for each workload instead of being limited to the models a provider has chosen to add to its API.
Frequently asked questions about QDivZero
Answers about models, deployments, infrastructure, pricing, and OpenAI compatibility.
What is QDivZero and what is it for?
QDivZero is an AI infrastructure platform for deploying and running models without managing servers or GPUs. It brings models, compute, endpoints, and tools such as LLM Model Routing, Retrieval, and LLM Firewall together in one environment.
How can I deploy Hugging Face models without managing GPUs?
With QDivZero, you can choose models from the Hugging Face ecosystem and deploy them without manually configuring servers, GPUs, or inference environments. The platform identifies their requirements, finds compatible compute, and prepares the deployment for connection to your application.
What are open-weight models and why use them?
Open-weight models provide access to their weights and can run on compatible infrastructure. This opens an ecosystem of models for reasoning, code, RAG, classification, embeddings, image, video, audio, and many other tasks without relying exclusively on a single developer's APIs.
Can I run AI models without paying per token?
Yes. With dedicated compute, balance is deducted for the time capacity remains active, not for every token processed. You can also activate Unlimited Basic, which includes Qwen 3.8 27B for a fixed monthly fee without using balance. Unlimited Basic can be used on its own or coexist in the same account with balance for Public Models and other deployments.
How is QDivZero different from an AI API provider?
An API provider usually determines which models it offers, what infrastructure runs them, and how usage is billed. QDivZero lets you choose from a much broader model ecosystem and finds compatible infrastructure across a multi-provider network to run them.
Can I use QDivZero with the OpenAI API and SDK?
Yes. QDivZero provides an OpenAI-compatible API, so you can connect your deployments through a familiar interface and reduce the changes required when testing or replacing models in your applications.
What types of AI models can I deploy on QDivZero?
You can deploy text, code, image, video, audio, embedding, and multimodal models, among others. QDivZero gives you access to thousands of models from the Hugging Face ecosystem so you can choose according to each application's needs.
What is the difference between frontier and open-weight models?
Frontier models are generally offered through APIs managed by their developers and excel at tasks requiring advanced capabilities. Open-weight models can run on compatible infrastructure and provide many alternatives for tasks such as RAG, code, classification, extraction, embeddings, or assistants. QDivZero makes these models easier to deploy without managing their infrastructure.
How do I choose the right GPU or infrastructure for an AI model?
Each model has different memory, architecture, precision, and compute requirements. QDivZero evaluates those requirements and searches for compatible infrastructure across multiple providers, avoiding the need to compare GPUs and configurations manually for every deployment.
Can I use QDivZero for RAG, LLM routing, and production AI applications?
Yes. In addition to deploying models, you can connect them to Retrieval and RAG, use LLM Model Routing to work with multiple models, and add LLM Firewall to apply controls to interactions, all within the same QDivZero environment.
Ready to build AI without assembling everything behind it?
Choose from thousands of open-weight models, deploy on compatible compute, and connect endpoints, routing, retrieval, and security from one platform. QDivZero handles the infrastructure so you can focus on building.