Ollama Raises $65M to Power Local Open-Source AI

Ollama's $65M Series B Is a Win for Everyone Running AI Locally

Ollama, the open-source tool that lets anyone run open-weight language models on their own hardware, announced a $65 million Series B on July 9, 2026, led by Theory Ventures. For the growing community of people who prefer to keep their AI on-device rather than in someone else's cloud, this is genuinely good news: it signals that local AI is no longer a niche hobby but a movement with serious momentum behind it.

• The round: $65M Series B led by Theory Ventures, bringing total funding to $88M (after a $15M Series A led by Benchmark's Peter Fenton)
• The reach: roughly 8.9 million monthly active developers, and a footprint in about 85% of the Fortune 500
• The pedigree: founded in 2023 by Jeff Morgan and Michael Chiang, who previously helped build Docker Desktop
• The traction: around 176,000 GitHub stars, all from a lean team of roughly 14 people

What Makes Ollama Such a Beloved Tool?

If you have ever wanted to run a capable large language model without an API key, a subscription, or a network connection, Ollama is probably how you did it. It wraps the fiddly parts of downloading, quantizing, and serving open-weight models into a single friendly command. That simplicity is why it has spread so quickly through the self-hosted AI world and onto the kind of compact machines we cover in our mini PC coverage — a Ryzen mini workstation or an Apple Silicon laptop is now a perfectly reasonable home for a 70B-class model.

The developer love is real. Ollama's near-9-million monthly developer base has grown almost entirely through word of mouth and open-source goodwill, and its presence across most of the Fortune 500 shows that the local-first approach resonates in the enterprise too, where data residency and privacy are first-order concerns.

Why Local AI Momentum Matters Right Now

The timing fits a broader shift. As open-weight models keep improving, the practical gap between running a model yourself and calling a hosted one keeps narrowing. Tools like Ollama are the connective tissue that makes that choice easy, and they pair naturally with projects like Exo Labs' local.ai work on frontier models. A well-funded, independent Ollama means faster support for new model architectures, smoother hardware acceleration, and a healthier open-source ecosystem overall.

The founders declined to share revenue or valuation figures, keeping the focus where it belongs: on the product and the community. With Theory Ventures, Benchmark, and others backing the next chapter, the local AI toolkit that so many builders rely on is set to get even better.

For anyone who values privacy, control, and the simple joy of running a model on a machine you own, Ollama's Series B is a milestone worth celebrating.

Sources: TechCrunch — July 9, 2026; SiliconANGLE — July 9, 2026.