Integrate local LLMs into custom applications and workflows
Ollama provides REST API endpoints and SDKs for Python, JavaScript, and other languages, allowing developers to embed local model inference into applications, chatbots, and automation tools
Ollama multimodal engine
Ollama multimodal engine
Run leading vision models locally with the new engine
Overview
What it is
Run Llama 2 and other models on macOS, with Windows and Linux coming soon. Customize and create your own.
Intent
I need it when
Run large language models locally without cloud dependencies
Ollama enables users to download and run open-source LLMs (Gemma, Qwen, DeepSeek, etc.) directly on their machine via simple CLI commands, eliminating reliance on cloud APIs and maintaining data privacy
Build AI-powered features with minimal infrastructure overhead
Ollama runs on consumer hardware (Mac, Windows, Linux) and integrates with existing development tools and frameworks, reducing deployment complexity and infrastructure costs for prototyping and production use
Experiment with multiple AI models for comparison and evaluation
Ollama's library supports 40+ models and allows users to quickly switch between different models using simple commands, enabling side-by-side testing and model selection without complex setup
Drop
Not a fit when
- User requires commercial support and SLA guarantees for production systems
- User needs managed cloud hosting without self-hosting infrastructure
- User requires proprietary model licensing or restricted model access
- User lacks technical expertise to install, configure, and troubleshoot local LLM deployment
- User needs real-time model updates and automatic version management without manual intervention
Commercials
Pricing
Free and open source