Ollama makes it trivially easy for developers to download and run open-weight AI models on their own hardware — Mac, Linux, or Windows — with a single command. It bundles model management, an inference engine, and an OpenAI-compatible HTTP API into one binary. Developers can pull models like Llama, Mistral, DeepSeek, or Qwen and immediately call them from Python, JavaScript, or any tool that speaks the OpenAI API format. In 2026, Ollama extended beyond local-only: users can now invoke large cloud-routed models (e.g., 480B-parameter models) using the same syntax and API, with Ollama handling the infrastructure transparently. The result is a "local-first, cloud-optional" model runtime that works for solo developers and Fortune 500 IT teams alike. Its 67,000+ community-built integrations (IDEs, agents, chat UIs, pipelines) make it the de facto distribution layer for open-weight models — closer to Docker for AI than a simple chat app. Buyers are developers and engineering teams that want cost control, data privacy, and freedom from proprietary API lock-in.