Ollama Raises $65M for Open-Model AI Platform
Ollama, the tool that made running open-source AI models on your own laptop a one-line command, has raised $65M. The bet: open models will do most of the world’s AI work, and developers will want to own them.
July 9, 2026 – 3:12 pm
Image by: Ollama
Ollama has secured a Series B round led by Theory Ventures, with Benchmark, 8VC, Y Combinator, and others participating. The $65M raise brings the company’s total funding to $88M, just three years after its launch.
Founder and CEO Jeff Morgan shared details with TechCrunch, which broke the news.
Simple Pitch: AI for All
The platform lets developers download and run open-weights models locally on their laptops with a single command. If that’s not possible, Ollama’s cloud handles it, charging by GPU time, not per token.
Familiar Faces
Morgan and co-founder Michael Chiang are no strangers to this kind of success. They previously built Kitematic, which Docker acquired in 2015. Their work there contributed to Docker Desktop, now used by over ten million developers. Ollama is the same move for AI—streamlining setup and access.
Rapid Growth
The numbers don’t lie:
- 8.9 million monthly users (up from half that in January)
- Close to a million weekly installations
- Present in 85% of the Fortune 500, across sectors like government, healthcare, and finance.
- A team of just 14 people.
Bet on Open
The investment rides on a shift from closed AI models to open ones.
"Open-weight models will generate the supermajority of tokens within the next 18 to 24 months," predicted Peter Fenton, Benchmark partner and early investor in Ollama. Theory’s Tomasz Tunguz sees Ollama as the platform layer that everything else plugs into, a valuable position.
Fenton emphasizes this isn’t "an either/or" scenario; open versus closed models will co-exist. However, firms with substantial inference bills have strong incentive to move to open models and rely on closed ones like Anthropic only as needed.
Critics Weigh In
Some critics question Ollama’s focus on its paid cloud service while the free desktop app receives less attention. Morgan and Fenton counter that the free app remains unchanged, with the cloud simply handling models too large for home computers.
The Bigger Picture
Ollama represents a significant milestone in the rapid evolution of open-source AI from research curiosities to production tools. If the affordability and accessibility of open models truly becomes the norm, it could fundamentally reshape the AI landscape.