About localai.computer
localai.computer helps people run AI models locally. We publish hardware compatibility guidance, model requirements, and benchmark-backed recommendations for consumer and prosumer systems.
What we publish
- Compatibility pages that map model sizes and quantizations to hardware.
- Guides for setup, optimization, and troubleshooting local inference workflows.
- Comparisons and methodology notes explaining how benchmarks are interpreted.
- Build and component recommendations for different budgets and workloads.
Editorial principles
- Accuracy first: we update or remove content when data changes.
- Clarity over hype: recommendations are based on measurable constraints.
- Practicality: we prioritize advice that can be implemented by real users.
- Transparency: we disclose affiliate relationships and ads where applicable.
How this site is funded
localai.computer may include advertisements and affiliate links. We may earn a commission when you buy through certain links, at no additional cost to you. Sponsorships and paid placements are clearly identified when present.
Contact
For support, corrections, partnerships, or legal requests, email hello@localai.computer.
Getting started workflow
About FAQ
What does localai.computer focus on?
We focus on practical local AI hardware guidance, model requirements, compatibility checks, and benchmark-backed recommendations.
How are recommendations decided?
Recommendations prioritize measurable constraints, repeatable methodology, and practical deployment tradeoffs over hype.
Where should new users start?
Start with model requirements, then run compatibility checks and follow setup guides before choosing hardware.