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Security and privacy for running AI.

Your data is processed to run the model. Not to stay.

QDivZero lets you run AI models privately without storing the content of your prompts and responses or using your data to train models.

Choose where each deployment runs across regions in Europe, North America, Asia, Oceania, and Africa. Your requests are processed on the infrastructure assigned to the deployment and transmitted over encrypted connections.

You decide which model to run and where to run it. QDivZero handles the infrastructure while you stay in control of your data.

Read the documentation

Run models close to your data.

Not all data can be processed everywhere. QDivZero lets you choose where your models run and where your requests are processed, whether that is close to your users or inside the region required by your organization. Deploy on infrastructure available in Europe, North America, Asia, Oceania, and Africa without changing how you integrate models or managing infrastructure in every region.

One platform. Different models, providers, and regions.

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Your data should not depend on the model you choose.

Change models without changing your rules for handling data.

QDivZero lets you run open-weight models, Hugging Face models, and your own models through one layer for deployment, access, and control over where they run.

Try a new LLM, switch an embedding model, deploy image generation, or move a workload to another region without building different infrastructure for every model or provider.

The model you choose does not change one fundamental point: QDivZero does not use your inference data to train it.

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Security controls

Zero data storage

Your data is processed. It is not stored.

Prompts, files, and responses are used only to run inference. QDivZero does not keep conversations or retain their content after processing them.

Workload isolation

Each workload remains isolated.

Each deployment keeps its execution environment, resources, and configuration separate. Run LLMs and other models with private data without mixing your workload with other deployments.

Dedicated compute

Dedicated capacity for your deployment.

With Dedicated Compute, resources remain assigned to your workload while it is active. Your model runs on dedicated capacity without relying on a shared public inference API.

Encryption in transit

Your data travels encrypted.

Prompts, files, and responses are transmitted over HTTPS/TLS between your application and QDivZero, protecting data throughout its journey to and from the inference infrastructure.

No training

Your data never trains models.

QDivZero does not use your prompts, responses, or inference data to train, fine-tune, or improve models. This applies whether you run open-weight, Hugging Face, or your own models.

Data minimization

We retain only what is needed to operate.

Your inference content does not need to become QDivZero data. We separate the information needed to operate the service from the prompts, files, and responses processed by your application.

COMPLIANCE

GDPR

Build with GDPR requirements in mind.

QDivZero provides infrastructure and processing controls that can form part of AI applications subject to GDPR.

Data sovereignty

Maintain control over your data jurisdiction.

Choose where to run your workloads to adapt your architecture to requirements for data sovereignty, localization, and internal processing policies.

Responsible AI

More control over how you bring AI to production.

Keep track of the models, providers, and infrastructure in your deployments to support processes for governance, oversight, and Responsible AI.

Frequently asked questions about security and privacy

Does QDivZero store my prompts, files, or responses?

No. QDivZero does not store content sent during inference or the responses generated by your models. Data is processed to run the request and return the result, without creating a conversation history.

Does QDivZero use my data to train AI models?

No. Your prompts, responses, and inference data are not used to train, fine-tune, or improve models. The data processed by your application remains yours.

Can I run an LLM privately?

Yes. QDivZero lets you deploy and run LLMs privately on infrastructure prepared for your workload, without configuring and maintaining servers, GPUs, or inference engines yourself.

Can I run Hugging Face models privately?

Yes. You can deploy compatible models from the Hugging Face catalog with QDivZero on private infrastructure. The platform finds compatible capacity, prepares the environment, and makes the model available to your application.

Can I choose where my models run and my data is processed?

Yes. You can select from available regions according to your application's needs, your users, or your organization's data-residency requirements. QDivZero provides infrastructure in Europe, North America, Asia, Oceania, and Africa.

Can I run AI models and LLMs in Europe?

Yes. QDivZero lets you deploy AI models and LLMs on infrastructure available in Europe when you need execution and workload-related processing to remain within the region.

How does QDivZero protect my data during inference?

Data sent between your application and QDivZero is transmitted over HTTPS/TLS connections. This protects prompts, files, and responses as they travel to and from the infrastructure running the model.

What does zero logs mean in QDivZero?

It means QDivZero does not create or store a history containing your prompts and responses. Each request is processed to run the model and return the result, without retaining the conversation afterwards.

Can I use QDivZero to run AI with sensitive data?

QDivZero is designed for workloads that require greater control over their data, with private deployments, region selection, encryption in transit, and inference without storing content. Specific requirements depend on the data type and applicable regulations.

Can I use QDivZero for applications subject to GDPR?

Yes. QDivZero can be used for applications subject to GDPR. You can run models in European regions, control where data is processed, and keep prompt and response content outside QDivZero storage. Communications are protected with encryption in transit, and your data is not used to train models. Final GDPR compliance also depends on how your application collects, uses, and manages personal data.