Local and private AI
Take Control of Your AI
Run AI on hardware you own, keep more control over your data, and find out what your current computer can handle.
✓ Start with the hardware you already have.
Illustrative profile
A practical starting point
Memory: 16 GB
Graphics: RTX 4050 / 6 GB
Example model class: 7–8B models
Illustrative example—not a live recommendation.
Practical uses
What can you actually do with local AI?
Private documents
Work with sensitive files without automatically sending every task to a cloud AI service.
Coding
Run capable coding assistants directly on your own computer.
Research & writing
Summarize, draft and organize information locally.
Automation
Connect local AI to practical workflows and tools.
Private AI for business
Put useful AI inside a controlled environment
Start with one defined use case and a practical pilot.
- Private document AI
- Internal knowledge assistants
- Workflow automation
Why Latu
Start small, test before scaling
Use hardware that makes sense, keep sensitive workloads controlled where appropriate, and stay clear about limitations.
Local AI can improve control, but it does not automatically make a system secure.
- Use what you have
- Choose what fits
- Measure real results
- Scale with evidence
Insights
Practical guidance, not generic AI news
The Insights section is prepared for researched guides, comparisons and field notes. No placeholder articles are presented as published work.
Your AI. Your computer. Your data.