Ollama, the open-source darling that lets you run large language models on your own hardware, has just closed a $65 million funding round. With nearly 9 million users, it's clear that the appetite for local AI is far from a niche hobby—it's a movement.

For those who've been living under a rock, Ollama simplifies the process of downloading and running models like Llama 3, Mistral, and Gemma on your own machine. No cloud credits, no data leaving your laptop. That alone makes it a privacy powerhouse in an era where every AI interaction is being harvested.

Why it matters: The $65M bet signals that venture capital sees a future where AI inference happens at the edge, not just in mega-datacenters. For developers, this means faster iteration, lower latency, and full control over their models. For everyone else, it's a step toward democratizing access to AI without relying on big tech's API pricing.

Ollama's growth from zero to 9M users in under two years isn't just hype. It's a reflection of a deeper frustration: cloud AI is expensive, opaque, and often changes terms on a whim. By putting models on your machine, Ollama gives developers sovereignty. And with this fresh capital, the team plans to invest in performance, model compatibility, and—yes—making it even easier for non-coders to run local AI.

The bottom line: Ollama isn't just a tool; it's the backbone of a decentralizing AI ecosystem. If you're not using it yet, you're leaving autonomy—and performance—on the table.

With this funding, Ollama will also likely face the classic open-source tension: how to monetize without alienating the community. But for now, the focus remains on growth. And with 9 million users and counting, they've proven that local AI is no longer a fringe idea. It's the future.

Source: TechCrunch AI