Ollama
Open-source platform for running frontier AI models with local privacy and cloud scalability. Trusted by 9M+ developers for secure, fast model deployment.
Ollama is an open-source alternative to:
Ollama is an open-source platform that simplifies running large language models (LLMs) locally or in the cloud while keeping your data private. It provides a seamless way to deploy frontier AI models with enterprise-grade performance and security.
Key Features
- Frontier Open Models: Access the latest open-source LLMs with performance comparable to closed alternatives at a fraction of the cost.
- Local & Cloud Deployment: Run models locally for maximum privacy or deploy in the cloud across US, Europe, and Singapore for scalability.
- High Performance: Dedicated infrastructure ensures reliable throughput even with multiple concurrent agents.
- Easy Integration: Launch popular coding agents (Claude Code, Codex, OpenCode) with a single command and switch models without changing workflows.
- Data Privacy: Prompts are never tracked or trained on by providers, ensuring complete data ownership.
- Open Source: Fully open-source with open weights, allowing for transparency and customization.
- Cross-Platform Support: Works seamlessly across macOS, Windows, Linux, and Docker.
Tech / Self-Hosting
Ollama is open-source and can be self-hosted on any infrastructure. The platform supports Docker for easy deployment and provides comprehensive documentation for local and cloud setups. All cloud-hosted models are deployed in compliant regions (US, Europe, Singapore) to meet data residency requirements.