The model you want exists. Your provider does not have it.
Closed catalogs limit the models you can try. With QDivZero you can deploy Hugging Face models for text, code, reasoning, vision, image, video, audio, embeddings, and more.
SOLUTIONS / DEVELOPERS
Try anyAI model.
Explore thousands of open-weight models for text, code, reasoning, image, video, audio, computer vision, biomolecular modeling, embeddings, and more. QDivZero finds where to run them and deploys them for you, through an OpenAI-compatible API, with zero logs and European privacy standards.
BUILDING WITH AI
Trying a model is easy. Everything that comes next is not.
You find a new model you want to try. Then you have to work out which GPU it needs, where to deploy it, how much it costs to run, how to serve inference, and which API to integrate. When you want to try another model, many platforms make you repeat part of the process. You end up comparing APIs, infrastructure, prices, and requirements all over again.
Start testing modelsYou do not need another API to try another model.
One provider for LLMs, another for image, another for embeddings, and another for video means more SDKs, keys, and documentation. QDivZero keeps models behind an OpenAI-compatible API so you can experiment without rebuilding your integration.
The model is open-weight. The infrastructure is not included.
Downloading the weights is the easy part. Choosing a GPU, finding capacity, configuring the inference engine, and maintaining the endpoint is what takes time. Choose the model and QDivZero finds compatible compute and prepares the deployment.
Changing models should not mean changing your code.
You want to compare Qwen, DeepSeek, GLM, Gemma, or the next model that appears. You do not want to rewrite clients, authentication, and endpoints every time you test an alternative. With QDivZero, you keep the same integration and can change models without rebuilding your application.
Per-token pricing is not always the best way to run AI.
Token-based APIs are convenient to start with. For sustained or high-volume workloads, you can run the model on a dedicated GPU and pay for active compute time. QDivZero lets you combine both methods and add Unlimited Basic with unlimited Qwen 3.8 27B, subject to fair use, plus 5,000 shared monthly AI Credits for GLM and DeepSeek for a fixed monthly fee without using balance.
Your project should not pay for every person who writes code.
Many tools add a per-user cost before you even run an inference. QDivZero is focused on model and infrastructure usage, not multiplying subscriptions for every developer involved in a project.
ONE PLATFORM FOR YOUR MODELS
Choose the model. QDivZero handles the rest.
Explore open-weight models and deploy inference in a few steps. QDivZero finds compatible compute, prepares the environment, and gives you an endpoint ready to connect through an OpenAI-compatible API.
You choose what to run. QDivZero handles the deployment, compute, and inference.
Find your modelOPEN-WEIGHT MODELS
From Hugging Face to an endpoint ready to use.
Explore thousands of models for text, code, reasoning, computer vision, image, video, audio, biomolecular modeling, and embeddings, including almost the entire compatible Hugging Face catalog.
Explore modelsDEPLOYMENT
From model to endpoint in a few steps.
No server configuration, GPU hunting, or manual inference setup. Choose the model and your requirements. QDivZero finds compatible capacity, prepares the deployment, and leaves the endpoint ready to connect.
View deploymentsONE API
Try another model without redoing your integration.
Connect through an OpenAI-compatible API and switch between models without integrating a different API for every provider. Keep your code while testing which model works best for each project.
View API docsCOST
Choose how to run inference.
With QDivZero, you can use balance, an Unlimited Basic subscription, or both in the same account. Public Models deduct balance according to input and output tokens, dedicated deployments deduct it for active compute time, and Unlimited Basic provides unlimited Qwen 3.8 27B, subject to fair use, plus 5,000 shared monthly AI Credits for GLM and DeepSeek for a fixed monthly fee without using balance.
View pricingYOUR AI STACK
Add capabilities.Not providers.
Your next feature does not need another platform.
Add models, retrieval, routing or security through a platform with European sovereignty. Your inference content is not logged and your data is not sent to model providers, whether you deploy in Europe or other available regions.
More capabilities for your application. Fewer pieces in your stack.
LESS OPERATIONS
Deploying a model should not become another project.
Choose what you want to run, define your requirements, and create the deployment in a few steps. QDivZero prepares the environment, serves inference, and maintains the technical layer between the model and your application.
YOU CONFIGURE
- Model
- Region
- Requirements
- Privacy
QDIVZERO OPERATES
- Runtime
- Serving
- Capacity
- Endpoint
YOU KEEP BUILDING
- Product
- Logic
- Experience
- Integrations
BUILD WHATEVER YOU WANT
One place for very different models.
Not everything can be solved with an LLM. Explore and deploy models for text, code, reasoning, computer vision, image, video, audio, biomolecular modeling, embeddings, and multimodal applications from the same platform.
LLMs and reasoning
Build assistants, AI agents, copilots, code generation, information extraction, and reasoning workflows. Compare different LLMs and choose the right balance of speed, cost, and capability for your application.
Chat · Agents · Code · Reasoning
Vision and multimodal
Process images, documents, and visual content with vision and multimodal models. Use them for intelligent OCR, data extraction, document analysis, visual classification, or applications that combine text and images.
Vision · OCR · Documents · Multimodal
Image and video
Integrate image and video generation or editing models to create content, transform images, and automate creative workflows. Try different models without integrating a new API and provider for each one.
Image · Video · Generation · Editing
Embeddings and RAG
Generate embeddings for semantic search, information retrieval, recommendations, and RAG systems. Combine retrieval with your LLMs to build applications that find relevant context before generating an answer.
Embeddings · Semantic search · RAG
Audio and voice
Build audio transcription, speech-to-text, text-to-speech, and voice applications with specialized models. Add audio processing alongside the rest of your application models without adding another platform to your stack.
Audio · Transcription · Voice · Speech-to-text
Your own models
Deploy your own, private, or fine-tuned models on dedicated compute. QDivZero prepares the inference environment and infrastructure needed to serve your model through an endpoint without manually managing GPUs and servers.
Private · Fine-tuned · Dedicated compute
Choose how to get started.
THREE WAYS TO REACH THE MODEL
An API, your own infrastructure, or QDivZero.
Choose your models without choosing between a limited API catalog and managing all the infrastructure yourself.
Frequently asked questions
Answers for choosing, deploying, and integrating AI models into your applications.
How do I deploy a Hugging Face model without managing a GPU?+
Choose the open-weight model you want to use and define your application requirements. QDivZero checks compatibility, finds GPU capacity across providers, prepares the inference environment, and gives you an endpoint ready to connect.
What is an open-weight model and where can I run it?+
An open-weight model lets you download and deploy its weights on compatible infrastructure. With QDivZero, you can explore Hugging Face models for text, code, reasoning, computer vision, image, video, audio, biomolecular modeling, and embeddings, then take them to production without building the servers yourself.
How do I deploy my own private or fine-tuned model?+
Run your own private or fine-tuned models on dedicated compute and choose European regions or other available regions. QDivZero prepares the runtime and endpoint. Its internal policy of zero logs and no data sent to model providers applies in every region, under the platform’s European privacy framework.
Which public AI models can I use without creating a deployment?+
QDivZero offers selected Public Models that are ready to use through an API. Input and output tokens are deducted from your account balance, without configuring GPUs, servers, or a serving environment to get started. Unlimited Basic includes unlimited Qwen 3.8 27B, subject to fair use, plus 5,000 shared monthly AI Credits for GLM-5.3-Flash, DeepSeek V4.1 Flash and DeepSeek V4 Flash 0731 for a fixed monthly fee without using balance.
What GPU infrastructure does my AI model need?+
Requirements depend on the architecture, model size, VRAM, and inference mode. QDivZero validates the model requirements and finds compatible capacity so you do not have to compare GPUs and providers manually.
Can I use an OpenAI-compatible API with open-weight models?+
Yes. QDivZero provides an OpenAI-compatible API for connecting public models, Hugging Face models, and your own deployments with a familiar integration pattern. You can keep your clients and SDKs while changing models.
Can I change models without modifying my application?+
Yes. With one OpenAI-compatible API, you can compare models such as Qwen, DeepSeek, Gemma, and other alternatives without rebuilding authentication, endpoints, or your main application integration.
What is the difference between paying per token and using a dedicated GPU?+
Public Models deduct balance according to input and output tokens. A dedicated deployment deducts balance for active compute time and can fit sustained workloads, agents, or long contexts. Unlimited Basic includes unlimited Qwen 3.8 27B, subject to fair use, plus 5,000 shared monthly AI Credits for GLM and DeepSeek for a fixed monthly fee without using balance, and all three methods can coexist in the same account.
How much does it cost to deploy an AI model on a GPU?+
Cost depends on the model, memory requirements, GPU type, provider, and runtime. QDivZero shows the price before deployment, prorates active compute by the second, and deducts it from the account balance.
Can I use vision, image, video, audio, and voice models?+
Yes. QDivZero is not limited to LLMs. Explore and deploy multimodal models for document and image analysis, video generation, audio transcription, speech synthesis, and other modalities when compatible infrastructure is available.
How do I build a RAG application with embeddings and open-weight models?+
Combine an embedding model with semantic search and retrieval to find information in your own data. Then send that context to an open-weight LLM to generate more relevant answers inside your RAG application.
How do I serve an AI model in production?+
Select the model, define your availability requirements, and create a deployment. QDivZero prepares serving, maintains the inference endpoint, and provides an API for your application to send production requests.
Can I test code and reasoning models for agents?+
Yes. Compare open-weight models specialized in code, reasoning, agents, and tool use. Choose the option that best matches the speed, cost, context, and capability your development workflow needs.
Can I use QDivZero for multiple projects and teams?+
Yes. Organize models, deployments, and access for different projects within the same ecosystem. Your team can work with the same AI infrastructure without multiplying accounts, APIs, or integrations for every application.
Which model do you want to try?
Find it in QDivZero and choose where to run it. A European platform with private deployments, zero logs and no data sent to model creators, including when you choose other regions.
Explore models