Open-source AI platform Ollama has secured $65 million in a Series B round led by Theory Ventures. The startup, which helps developers run AI models on personal computers, has now raised a total of $88 million to scale its operations. With nearly 9 million monthly users, the company aims to reduce high AI inference costs for enterprises.
Ollama, a software platform focused on making artificial intelligence models easier to run on local computers, has closed a $65 million Series B funding round. Theory Ventures led this investment, which brings the company's total funding to $88 million since its founding in 2023. The startup, created by Jeff Morgan and Michael Chiang, is building tools to help developers deploy open-weight AI models directly on their own hardware instead of relying solely on expensive cloud infrastructure.
Developer-Focused Growth and Adoption
The platform has gained significant popularity among software developers, largely because it abstracts away complex configuration requirements. Ollama reports that it now supports nearly 9 million monthly active developers. According to the company, their tool is already being used within 85% of Fortune 500 companies, suggesting that businesses are looking for ways to manage AI integration more efficiently. This adoption is backed by the company's strong open-source presence, with over 176,000 stars on GitHub.
Business Model and Market Positioning
Unlike many AI firms that charge based on tokens—the standard unit of data processed by language models—Ollama has adopted a subscription model for its cloud services. These subscriptions range from a free tier to $100 per month, with usage measured by GPU time. This approach is intended to provide more predictable costs for developers. The founders, who previously developed Kitematic and worked at Docker, have applied their experience in containerization technology to the AI space. This expertise allows them to simplify the deployment of complex models that were previously difficult to implement.
Industry Trends in Open-Weight AI
Ollama’s growth highlights a broader trend toward open-weight AI models. As many enterprises and startups face rising costs associated with running AI applications in the cloud, there is a shift toward local or open-source alternatives that offer more control. While the market continues to debate the long-term balance between proprietary and open models, companies that can lower inference costs are attracting significant interest from investors. For Ollama, the challenge remains to convert its large developer user base into a consistent revenue stream through its cloud offerings. Investors may track how the company balances its open-source commitments with the need to build a sustainable business as competition in the AI deployment space increases.