Run LLM locally without the hardware headache.
Get the ChatGPT experience on your own terms. Use Open WebUI to run powerful LLMs like Llama 3.3 or DeepSeek without buying expensive GPUs or hitting SaaS rate limits.
Why run LLM locally?
Setting up a local LLM is about more than just saving on a $20/mo subscription. It is about ownership. When you run models locally using Open WebUI, your data never leaves your infrastructure. No OpenAI training on your proprietary code. No Claude rate limits in the middle of a sprint.
However, the 'VRAM wall' is real. To run a flagship 70B model at usable speeds, you need a workstation that costs thousands. Most 16GB laptops struggle with anything beyond basic 8B models.
Opsily bridges this gap. We provide the infrastructure to run Open WebUI on dedicated GPU instances. You get the privacy of a local install with the power of a data center.
The Benefits of Open WebUI
- Full RAG Support: Upload your PDFs and docs for private analysis.
- Multi-User Access: One instance for your whole team with RBAC.
- Model Flexibility: Connect to Ollama, Manifold, or OpenAI-compatible APIs.
- Privacy: GDPR-compliant hosting on German servers.
Local Hardware vs. Managed Hosting
How Opsily compares to running LLMs on your personal machine.
Based on average user hardware vs. Opsily GPU-optimized instances.
Why run LLM locally with Opsily?
Stop worrying about CUDA drivers and Docker networking.
GPU Power on Demand
Bypass local hardware limits. Our infrastructure handles high-parameter models that would crash a standard laptop. Access flagship-level performance without the $5k hardware investment.
Privacy by Design
Your instance is isolated. Unlike SaaS providers who may use your prompts for training, your data stays in your private environment. Perfect for GDPR-sensitive enterprise work.
Managed Maintenance
We handle the updates and security patches for your Open WebUI stack. You focus on building prompts and RAG pipelines while we ensure 99.9% uptime for your AI tools.
Built for teams who need reliability
How to run your LLM in 3 minutes
Easier than installing Docker on Windows.
Choose Your App
Select an app to get started.
Select Open WebUI
Find Open WebUI in our app catalog and click deploy. No complex CLI arguments required.
Configure GPU Resources
Choose your server size based on the models you want to run. We handle all driver configurations.
Upload and Chat
Log into your private URL. Setup your team, upload your docs for RAG, and start chatting with zero limits.
Predictable Pricing for AI Teams
No hidden token fees. No per-message surcharges. Just a flat monthly rate for your server.
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Enterprise AI Compliance
Built for teams that take data security seriously.
GDPR Compliant
All data stays on servers located in Germany.
Data Isolation
Dedicated containers for every user instance.
Encrypted Backups
Daily backups protected by AES-256 encryption.
SOC2 Infrastructure
Hosted in world-class, certified data centers.
Questions about Running LLMs Locally
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.
Ready to run LLM locally without the hardware cost?
Deploy Open WebUI in minutes and take control of your AI stack.