Open-source AI development tool Ollama has secured a $65 million Series B financing round led by Theory Ventures, bringing its total capital raised to $88 million. The funding follows a $15 million Series A round previously backed by Benchmark’s Peter Fenton. Co-founded by Jeff Morgan and Michael Chiang, both veterans of Docker and its desktop acquisition Kitematic, Ollama was launched in 2023 to simplify the deployment of open-weight large language models directly on personal computers. Designed to abstract the complex hardware configurations typically required for local AI inference, the platform has rapidly achieved widespread developer adoption. It currently boasts 176,000 GitHub stars, 17,000 forks, and a user base of 8.9 million monthly active developers across 85 percent of the Fortune 500. Operating with a lean team of just 14 employees, Ollama mirrors the trajectory of Docker by solving a foundational infrastructure bottleneck within the software engineering community. While the core desktop application remains free and unchanged, Ollama has expanded into a subscription-based cloud service to host and run larger, more computationally intensive models. The company bills customers based on GPU utilization rather than token counts, offering tiers ranging from free to $100 monthly. CEO Jeff Morgan noted that the commercial inflection point arrived around January when open-weight models demonstrated viable agentic capabilities for coding and complex tasks. This shift aligns with a broader industry movement wherein enterprises and AI application startups seek to reduce soaring inference expenses by adopting open-weight alternatives alongside proprietary closed models. Benchmark’s Fenton emphasized that the market will sustain both paradigms, but financial pressure on high-volume inference will inherently drive organizations toward open-weight ecosystems. The funding round also highlights a broader trend of venture capital flowing into open-source AI infrastructure. Competitors and parallel ventures such as Inferact, RadixArk, Arcee, and various agent frameworks are similarly attracting investment as the open-source ecosystem matures into commercially viable enterprises. The commercialization of its cloud layer has recently sparked community debate regarding potential monetization diluting the platform’s original open-source mission. Morgan has publicly clarified that the cloud offering is a direct extension of its developer-first mandate, providing accessible compute for models too large to execute locally. Fenton reinforced this stance, confirming that zero modifications have been made to the free desktop experience, which continues to function as the primary discovery and execution hub for local AI models. With validated product-market fit and expanding enterprise integration, Ollama is positioned to capitalize on the accelerating migration toward decentralized, cost-efficient AI development workflows.