Local AI
Local AI: Run AI models offline & privately on your CPU. Experience local inferencing, model management, and digest verification with ease.
What Is Local AI?
Local AI is a native app designed to experiment with AI models offline and privately, with zero technical setup and no GPU required.
Target Audience of Local AI
developersresearchersAI enthusiastshobbyists
How To Use Local AI?
Download the Local AI app from the provided links for your platform (Windows, Mac, or Linux). Install the app, select a directory for model storage, download desired AI models, and start an inference session with just two clicks to load and run the model locally.
Core Features of Local AI
- Offline AI model experimentation without GPU
- CPU inferencing with adaptive thread usage
- GGML quantization support (q4, 5.1, 8, f16)
- Model management with resumable, concurrent downloads
- Digest verification using BLAKE3 and SHA256
- Local streaming server for quick inferencing
- Compact and memory-efficient Rust backend (<10MB)
Use Cases of Local AI
- Running AI models offline for privacy-focused projects
- Experimenting with AI inferencing on personal devices
- Managing and verifying AI model integrity locally
- Powering other AI apps with local inferencing capabilities
FAQ from Local AI
Contact & Company Information of Local AI
Local AI Company Name: Local AI
Information
Publisher:
Shawn Hacks
Shawn HacksWebsite:localai.app
Tags
ScreentellA Screen Recorder, Helps to create studio-quality product demos and tutorials in minutes - vibrant, expressive, attention-grabbing