Ollama is a local model runner that provides a simple API for downloading and running LLMs. It is popular for developers who want to experiment with models without external dependencies. The Docker image makes it easy to run Ollama on servers while keeping models local. Teams often pair Ollama with UI layers or RAG tools for self-hosted AI applications.
- Local model downloads and execution
- Simple API for running models
- Docker-based deployment
- GPU support (NVIDIA CUDA, AMD ROCm, Apple Metal)
- Official Python and JavaScript SDKs
- OpenAI API compatibility layer
- Model library at ollama.com/library
- Local model experimentation
- RAG backends for self-hosted apps
- Offline LLM workloads
- Development and testing
- Private AI inference
- Language: Go (60%), C (32.8%), TypeScript (3.9%)
- Backend: llama.cpp for efficient inference
- Deployment: Docker, Kubernetes, Native binaries
- Platforms: macOS, Linux, Windows
- Open-source and self-hosted
- Active development (169k+ GitHub stars, 15.6k+ forks)
- Latest release: v0.20.6 (April 12, 2026)
- 588+ contributors
- Official Python and JavaScript SDKs available
- Model library with 100+ models
¶ History and References
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