Open-Source AI Hub
Take control of your data. Discover the best tools to run powerful Large Language Models (LLMs) directly on your own hardware.
100% PrivateLocal Data
Zero LatencyOffline Ready
No SubscriptionsUnlimited Usage
Best for Simplicity
Ollama
The gold standard for local LLMs. One-command setup with a massive library of optimized models like Llama 3.2 and Phi-4.
- One-line installation
- GPU acceleration (Metal/CUDA)
- Library of 200+ models
LatencyFast
Best for Developers
LocalAI
A drop-in replacement for OpenAI's API. Multimodal support for text, images, and audio without vendor lock-in.
- OpenAI API Compatible
- Multimodal support
- Distributed inference
LatencyModerate
2026 Hardware Guide
To run these tools smoothly, the most critical factor is VRAM. In 2026, 8GB VRAM is the bare minimum for 7B models, while 16GB+ is recommended for professional workflows.
Student Setup
8GB RAM / Mac M1/M2
Runs: Llama 3.2 3B, Phi-4-mini
Pro Creator
16GB VRAM / RTX 4060 Ti
Runs: Llama 3 8B, Gemma 3 27B
Enterprise Lab
24GB VRAM / RTX 3090/4090
Runs: Mixtral 8x7B, DeepSeek V3