Ollama is an open-source platform that makes it easy to run large language models locally on your own hardware. Often described as 'Docker for LLMs,' it provides a simple CLI and API for downloading, managing, and running models like Llama, Mistral, and DeepSeek with full data privacy and zero cloud dependency.
Run large language models entirely on your own hardware with full data control and zero cloud reliance
Local REST API compatible with OpenAI endpoints for easy swapping from cloud to local inference
Access hundreds of open-source models including Llama, Mistral, DeepSeek, Gemma, Phi, and Qwen
Native support for macOS, Windows, and Linux with optimized performance on Apple Silicon and NVIDIA GPUs
Create and share custom model configurations using Modelfiles, similar to Dockerfiles
Built-in vision-language model engine for image analysis from CLI or API
Connects with coding tools, RAG pipelines, automation platforms, and chat interfaces
Prototype AI-powered applications locally with an OpenAI-compatible API without cloud costs or rate limits
Run AI assistants entirely on-premises ensuring no proprietary information leaves your infrastructure
Pair with embedding models and vector databases for private document search and Q&A
Integrate with coding tools for local code completion and review without sending code to the cloud
Best foundation for self-hosted AI — install Ollama first, then add any UI on top for a complete private ChatGPT replacement
Best for AI builders who need complete data privacy and zero marginal cost — ideal for local development, air-gapped environments, and teams handling sensitive data
Fully functional without internet access after model download for complete data privacy
Quickly download and compare dozens of open-source models side by side without cloud costs

The world's fastest AI inference � 20x faster than GPU clouds