Question 1

What exactly is a private LLM?

Accepted Answer

A private LLM is a large language model that runs on infrastructure you control rather than a third-party cloud. This ensures that your chat history, documents, and prompts are never used to train other models. By using Open WebUI on Opsily, you keep all data within a secure, isolated server environment. This setup effectively eliminates the risk of data leakage typical in public AI services. It is the best way to maintain absolute data sovereignty for your business.

Question 2

How do I ensure my private LLM does not leak sensitive data?

Accepted Answer

Open WebUI acts as a frontend that stores your conversations in a private database on your Opsily server. Unlike public tools, it does not send your data to a central authority for analysis or training. You have full control over the database and can delete history permanently at any time. When connected to local engines like Ollama, the entire inference process happens on your instance. This makes it a truly enclosed system for sensitive business intelligence.

Question 3

Do I need technical skills to build my own LLM setup?

Accepted Answer

Opsily removes the technical barriers to self-hosting a private LLM. Our automated system handles the installation of Open WebUI, database configuration, and network security. You don't need to manage Docker containers or write code to get started. Once the instance is live, you can manage users and models through the intuitive Open WebUI dashboard. We handle the server maintenance so you can focus on utilizing the AI.

Question 4

Can I use uncensored private LLM models with Open WebUI?

Accepted Answer

Yes, flexibility is one of the primary reasons teams choose a private LLM setup. You can connect to Ollama to run local models like Llama, or use API keys for models like Claude and GPT-4. This allows you to switch between models mid-conversation based on the task at hand. You can even run specialized, uncensored models for coding or research without changing your interface. Open WebUI serves as a single, unified bridge to all your AI intelligence.

Question 5

What are the real costs of running a private LLM on Opsily?

Accepted Answer

SaaS providers typically charge $20 to $30 per user every month for 'Enterprise' privacy features. For a team of 10, this can cost over $3,600 per year. Opsily offers a fixed-price model starting at much lower rates for the entire server. You can add as many users as your hardware can handle without extra fees. This shift from per-seat pricing to infrastructure-based pricing creates massive savings for growing teams.

Question 6

How do I manage Open WebUI RBAC authentication?

Accepted Answer

Absolutely. Opsily hosts all private LLM instances in data centers located within Germany. This infrastructure meets the highest standards for European data protection laws and the new AI Act. Since data residency is guaranteed, you can confidently use the AI for legal, medical, or financial workflows. We provide the security layer you need to pass strict compliance audits. Your data stays where it belongs: under your jurisdiction.

Question 7

What happens when the software updates?

Accepted Answer

Opsily simplifies the update process for all managed applications. When a new version of Open WebUI is released, you can apply the update through our dashboard with minimal downtime. We take automatic backups before updates to ensure your chat history and configuration remain safe. This removes the risk of 'breaking' your AI setup during routine maintenance. Our team monitors the environment to ensure high availability and performance.

Déployez un LLM Privé pour les équipes qui valorisent la souveraineté des données.

Pourquoi les équipes quittent ChatGPT Enterprise

Votre LLM Privé : La confidentialité est un droit, pas une option de luxe.

Souveraineté des données

Coûts mensuels fixes

Déploiement instantané

Built for teams who need reliability

Pourquoi un LLM Privé est non négociable

Open WebUI : La référence

Briser la taxe SaaS

coût inférieur au SaaS

Déployez votre LLM Privé en 3 étapes

Sélectionnez Open WebUI

Provisionnez le serveur

Téléchargez vos modèles

Tarification prévisible pour l'IA privée

Sécurité pour les données sensibles

GDPR Compliant

Isolated Instances

Encrypted Backups

24/7 Monitoring

FAQ LLM Privé

Ce que disent nos clients

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