Ollama

What is Ollama?

Ollama lets you run large language models on your own hardware with zero configuration. One command to install, one command to run a model. Think of it as Docker for LLMs. With over 170,000 GitHub stars and 40,000+ community integrations, Ollama is the most popular way to run AI models locally. It supports the full spectrum of open models: Llama 4, Qwen3, DeepSeek R1, Gemma, Mistral, and hundreds more. Models are automatically optimized for your hardware, whether you are on a MacBook with Apple Silicon, a gaming PC with an NVIDIA GPU, or a Linux server with AMD ROCm. The tool provides a REST API compatible with the OpenAI Chat Completions format, so you can swap cloud providers for local inference without changing your code. It also supports the Anthropic API format natively. Tool calling, structured outputs, and vision capabilities work out of the box with supported models. Ollama recently added cloud model access. Create a free account to run larger models on datacenter-grade hardware when your local machine is not enough. The Free tier includes limited cloud usage. Pro at $20/month gives 50x more cloud usage with 3 concurrent models. Max at $100/month provides 5x Pro usage with 10 concurrent models. Your data is never logged or trained on, and cloud infrastructure runs in the US, Europe, and Singapore. For developers building AI applications, Ollama eliminates the complexity of model deployment. No CUDA builds, no tensor optimization, no server configuration. Just `ollama run llama4` and you have a running model with an API endpoint. Pair it with OpenClaw, Claude Code, or any MCP-compatible tool for instant local AI workflows.