Ollama is a developer platform that helps programmers run open-weight AI models on their personal computers, combining a free desktop application with an optional hosted service called Neocloud. The company, founded by Jeff Morgan and Michael Chiang, also announced a US$65 million Series B funding round led by Theory Ventures, bringing its total funding to US$88 million.
Launched in 2023, Ollama enables developers to quickly run AI models locally while providing hosted access to larger models through Neocloud using subscription plans and GPU-time billing instead of token-based pricing. The open-source platform has attracted a large developer community on GitHub and is used by millions of developers each month, with adoption across many Fortune 500 companies. The founders drew on their experience building Docker Desktop to simplify AI model setup, discovery and deployment.
For developers and businesses, Ollama streamlines experimentation with open AI models while offering flexible access to more powerful cloud-hosted models when local hardware is insufficient. The platform reflects growing demand for tools that bridge local development with scalable AI infrastructure as open-weight models become more capable.
Image Credit: Ollama
What's Driving This Trend
- Hybrid AI Deployment
- Platforms that blend local model execution with scalable hosted compute create room for flexible workflows that reduce infrastructure friction for developers and enterprises.
- Open-weight Model Adoption
- Growing use of open-weight AI models signals opportunities for tools that simplify discovery, testing, customization, and production deployment outside closed model ecosystems.
- Gpu-time Pricing
- Usage models based on GPU time introduce alternative economics for AI access, especially for businesses seeking more transparent costs than token-based billing.
Who This Affects Most
- Artificial Intelligence
- AI infrastructure providers are reshaping how teams experiment with and operationalize models through accessible platforms that connect desktop development to cloud scale.
- Developer Tools
- Developer software markets are expanding around simplified model setup, local testing, and deployment experiences inspired by familiar desktop-native workflows.
- Cloud Computing
- Cloud services are being pressured to support more modular AI compute options as enterprises demand hosted access to larger models without abandoning local development.
