Ollama Raises $65 Million as Open-Source AI Tool Nears 9 Million Users

Ollama, an open-source developer tool that helps users run artificial intelligence models on personal computers, has raised $65 million as interest in local AI development continues to grow.

The company, backed by venture firm Benchmark, has attracted nearly 9 million users, according to information reported by TechCrunch. Its popularity is also visible on GitHub, where the project has amassed about 176,000 stars and nearly 17,000 forks, two closely watched signals of developer interest and participation in open-source software.

The funding highlights continued investor appetite for infrastructure tools that support the expanding AI ecosystem. While much of the public attention around generative AI has focused on large cloud-based platforms and consumer chatbots, developers have increasingly sought tools that let them experiment with models locally, customize workflows and avoid relying entirely on hosted services.

Developer adoption drives momentum

Ollama's pitch is relatively direct: make it easier for developers to download, manage and run AI models on their own machines. That approach has helped the tool stand out as AI development spreads beyond large research labs and enterprise teams to independent programmers, startups and technical users working from laptops or desktop computers.

Running models locally can offer several advantages, including faster experimentation, more control over data and fewer dependencies on external APIs. It can also reduce barriers for developers who want to test model behavior before committing to cloud infrastructure or production deployments. Those factors have helped local AI tools become a significant part of the broader developer conversation.

GitHub activity is not the same as revenue or long-term business durability, but it can be an early indicator of community strength. Stars often reflect interest or approval from developers, while forks can signal that users are modifying, testing or building on top of the code. Ollama's large counts in both categories suggest the project has become a familiar name among programmers exploring AI tools.

Open-source AI remains competitive

The raise comes as competition intensifies across AI infrastructure. Companies are building tools for model deployment, observability, data management, inference and developer productivity. Open-source projects have played a central role in that market, giving developers a way to evaluate technology quickly and encouraging communities to contribute improvements.

For startups, the challenge is turning adoption into a sustainable business without alienating the community that helped drive early growth. Many open-source software companies pursue a mix of free tools, paid enterprise features, hosted services or support offerings. The path Ollama takes will be watched by developers and investors tracking how AI infrastructure businesses mature.

Benchmark's backing adds to the attention around the company, but the larger signal may be the speed at which AI developer habits are changing. As models become more accessible and hardware improves, tools that simplify local experimentation could remain important even as cloud AI services continue to expand.

Ollama's new financing gives it additional resources at a time when developers are still sorting out which AI tools will become part of their everyday workflows. Its next test will be whether a fast-growing open-source community can translate into a lasting platform in a crowded market.