Ollama
Free tierThe easiest way to build and run open-source AI models locally
Free tier available·All audiences·Powered by Open-source models (Llama, Mistral, Gemma, etc.)·API available·Open source
Key strengths
Run open-source LLMs fully offline and locallyOne-command install and model management via CLIOpenAI-compatible REST API for easy integrationOptional cloud tier for larger, faster modelsPrivacy-first — data is never used for training
Free tier + paid plans · from $20 USD/mo
San Francisco, United States
Founded 2023
Self-hostable
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- Local LLM backend for apps: Use Ollama's OpenAI-compatible API as a drop-in replacement for OpenAI in existing codebases — just change the base URL to
http://localhost:11434/v1. - CI/CD and offline pipelines: Embed Ollama in automated workflows or data pipelines that require LLM inference without external API dependencies or latency.
- RAG (Retrieval-Augmented Generation): Pair Ollama with vector databases (e.g., ChromaDB, Weaviate) and frameworks like LangChain or LlamaIndex for fully local RAG pipelines.
- Model benchmarking and fine-tune evaluation: Quickly swap and test different quantized models locally to evaluate performance before committing to cloud deployment.
- Edge and on-premise AI deployment: Self-host Ollama on internal servers for enterprise environments requiring data residency compliance or air-gapped operation.
- Multi-model orchestration: Use Ollama Cloud's parallel model execution (up to 10 concurrent models on Max plan) for production workloads requiring high concurrency.
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