Run LLMs Locally — Fully Offline
Why Offline Models Matter in AI Development
Protecting Your Personal Data
As AI becomes more integrated into our daily lives, the importance of data privacy and security has never been more crucial. With growing concerns about where personal information is going — especially with online giants like Meta or OpenAI — it’s time to explore the benefits of using offline AI models with Ollama.
Why Offline Models?
Offline models operate independently from cloud servers, ensuring that sensitive user data never leaves your device. Key benefits:
- Faster Response Times — no waiting for internet connectivity or server response times
- Enhanced Security — your personal data stays on your device, reducing the risk of unauthorised access
- Full Control Over Data Usage — you maintain complete control over how and when your data is used
Why Open-Source Platforms Like Ollama Matter
- Data Sovereignty — your personal information belongs to you, not a third-party server
- Reduced Dependency on Online Services — continue using AI tools even without an internet connection
- Increased Trust — users engage more with AI applications that prioritise data security
Minimum Requirements for Running Local Models
- RAM: Minimum 16GB (64GB+ recommended for larger models)
- CPU: Modern multi-core processor
- Storage: At least 50GB of available space
- GPU (Optional): For enhanced performance with larger models
The installation differences between Linux, Mac, and Windows are minimal. You can also take this further and deploy a server that only you and your company have access to.