Deciding to implement AI in your company is just the beginning. The more important question is: where should this model operate? Should you trust global cloud service providers, or deploy your own model on a local server (Local LLM), creating a fully private AI.
Key Difference: Where Are Your Data?
This is the fundamental factor that distinguishes these two approaches.
- ☁️ Public AI Cloud: You send your data (prompts, files) to the operator's servers (most often outside the European Economic Area, e.g., to the USA). While this is convenient, you lose control over what happens to the data along the way.
- 🏠 Local LLM, i.e., Private AI (On-Premise): The AI model runs on a local server. Data never leaves the EU (your company - encrypted tunnel - aikeep.io servers).
✨ Solution Comparison
| Feature | Public AI Cloud | ⭐ Private AI (aikeep.io) |
|---|---|---|
| 🛡️ Privacy | Data leaves the organization | Data remains under your control |
| 💰 Costs | Paid per "token" (hard to predict) | Fixed subscription (predictable) |
| ⚖️ Censorship | Model refuses to answer certain topics | Full control over the model |
| 🌐 Availability | Depends on global internet connections | Operates locally / in a private cloud |
When to Choose a Local Solution (Private AI)?
Local models (Open Source) running on ⭐ aikeep.io infrastructure have already reached a level sufficient for 90% of business applications.
Choose a local solution if:
- ✅ You process personal data (GDPR) or trade secrets.
- ✅ You are looking for a private AI solution that guarantees document confidentiality.
- ✅ You want a fixed monthly cost instead of usage-based invoices.
- ✅ Your company has a "Zero Trust" policy for external API providers.
🚀 Test the Power of Local AI
Check how quickly and securely our private AI works in dedicated infrastructure.