Question 1

Does it really count as 'run llm locally' if it is in the cloud?

Accepted Answer

Technically, it is self-hosted on private infrastructure you control. While the hardware sits in a data center, it functions exactly like a local install: you own the data, you control the models, and there are no third-party APIs watching your prompts. It is the best of both worlds: local privacy with cloud power.

Question 2

What are the hardware requirements to run LLM locally via Opsily?

Accepted Answer

You don't need any special hardware on your end. Since Opsily provides the server and GPU resources, you can access your models from a basic laptop or even a tablet. We recommend our Large or Unlimited plans for users who want to run 70B parameter models comfortably.

Question 3

Is it free to run LLMs locally with Open WebUI?

Accepted Answer

Open WebUI is open-source software, so you never pay for the application itself. You only pay for the managed hosting and GPU resources provided by Opsily. This is significantly more cost-effective than per-user SaaS subscriptions for larger teams.

Question 4

How much RAM do I need to run an LLM locally with 70B parameters?

Accepted Answer

To run a Llama 3 70B model smoothly, you typically need at least 40GB to 48GB of VRAM. Most home PCs lack this capacity, but Opsily's GPU-optimized servers provide the necessary high-memory environments to run these flagship models without lag.

Question 5

How does Open WebUI handle data privacy and GDPR?

Accepted Answer

Privacy is a core feature. All data processing happens within your isolated server instance in Germany. Unlike SaaS tools, your interactions aren't stored in a massive central database or used to train public models. This makes it the ideal choice for corporate compliance.

Question 6

Can I run Open WebUI on Windows without Docker?

Accepted Answer

While manual local installs on Windows usually require Docker or WSL2, Opsily automates the entire process. You select the app from our catalog and we handle the containerization, networking, and SSL certificates automatically—accessible via any browser.

Question 7

Can I use RAG (Retrieval-Augmented Generation) with my hosted Open WebUI?

Accepted Answer

Built-in RAG is one of Open WebUI's strongest features. You can upload documents directly through the interface to create a private knowledge base. Because the processing happens on our servers, it doesn't slow down your personal computer while indexing large PDF files.

Exécutez un LLM localement sans les contraintes matérielles.

Pourquoi exécuter un LLM localement ?

Les avantages d'Open WebUI

Matériel local vs Hébergement managé

Pourquoi exécuter un LLM localement avec Opsily ?

Puissance GPU à la demande

Confidentialité dès la conception

Maintenance managée

Built for teams who need reliability

Comment exécuter votre LLM en 3 minutes

Sélectionnez Open WebUI

Configurez les ressources GPU

Téléchargez et discutez

Économisés par utilisateur intensif vs ChatGPT Pro

Tarification prévisible pour les équipes IA

Conformité IA en entreprise

GDPR Compliant

Data Isolation

Encrypted Backups

SOC2 Infrastructure

Questions sur l'exécution locale de LLM

Ce que disent nos clients

Prêt à exécuter un LLM localement sans le coût du matériel ?