Ollama, the tool that lets developers use their own hardware to work with open AI models, has raised tens of millions of dollars in Series B funding. It raised $65 million to be exact, what Theory Ventures helped lead. After this funding round, total funding increased significantly, reaching at least $88 million. Soon after, 8VC, Benchmark and Y Combinator also joined the company.
The increase is significant because it corresponds to a clear trend. The founders want AI that is cheaper, private and under their control. Ollama sells exactly that, and its growth suggests the market agrees.
As part of Ollama’s $65 million funding round
The number of Ollama developers now stands at 8.9 million, which a recent report calls it the “open model ecosystem’s largest developer network.” Usage has doubled since January and the platform is adding nearly a million installs every week. It also reports that its integrations stand at over 67,000.
Adoption is reaching the enterprise, not just hobbyists. Across the entire Fortune500, Ollama is used in at least 85%. This footprint reflects the broader trend toward vertical tools, from AI in construction financing and health care.
| Metric | Figure |
|---|---|
| Series B raised | $65 million |
| Total funding | $88 million |
| Developers | 8.9 million |
| Weekly installations | Nearly a million |
Why local AI is gaining ground in the cloud
Open models have closed much of the gap with closed models. As a result, running AI locally is now sufficient for many real-world jobs. This change is at the heart of Ollama’s speech.
Tomasz Tunguz, general partner at Theory Ventures, clearly defined the issues.
“As open models close the gap for most real-world work, the platform on which the AI runs becomes one of the most valuable positions in software.”
The Cost Question Every Founder Faces
Cloud AI bills can increase quickly as usage increases. Running open models locally can limit this cost because you are not paying per token to an external provider. For an early-stage team, predictable expenses are a real advantage.
Control is the second advantage. When you host the model, sensitive data doesn’t leave your systems, reducing privacy risks. Founders evaluating tools should compare on-premises and cloud options the same way they would evaluate compliance software before a deal, as buyers did with compliance software This year.
Regulated industries drive adoption
Ollama highlights its clients in the government, healthcare and financial sectors. These industries have strict rules about where data can reside. Local AI addresses this need because it maintains information about the controlled hardware.
Demand signal is useful for founders of any regulated niche. If your customers are concerned about data leaving their walls, a local approach can quickly gain trust. Meanwhile, the race to build more AI Data Centers shows how much calculation the broader market still needs.
Where do open models go from here
Ollama plans to invest money into its product, open source community and more cloud computing. This combination allows developers to start locally and then scale up to larger models when they need more power. This is a convenient on-ramp for growing teams.
Next look at two signals. First, install growth is close to a million per week. Second, if more companies standardize open models. If both are confirmed, the case for local AI will strengthen and cloud pricing could come under further pressure.
The founder’s takeaway is simple. Test an open model on a real task this month, then compare the cost and control to your current cloud bill.
Ollama and Open Models: Founders FAQ
What does Ollama actually do? It lets you run open AI models on your own machine with a single command, then scale to larger models in the cloud as needed.
Is on-premises AI cheaper than cloud AI? Often yes at scale, because you avoid fees per token. However, you incur the hardware and installation costs, so compare the two.
Why do regulated companies like it? Local AI maintains sensitive data on controlled systems, helping to meet privacy and compliance regulations.
