Closed model, open model, or train your own? 📅 Wed, Oct 7 🕐 5 PM 📍 San Francisco At our next AI Talk, Crusoe’s @ErwanM94707 joins @ollama's @jmorgan and @trajectorylabs's @MichaelElabd to explore this question and more. Register: 🔗

Over the last few hours, some requests to the deepseek-v4.1-flash model on Ollama were charged at an incorrect rate, leading to higher usage consumption than expected for certain users. Sorry about this. For anyone effected: - Usage (monthly, or weekly + session on previous plans) has been reset - If extra usage amounts were consumed due to this model, these extra usage amounts have been restored to your account.

coding agents are moving fast from prototype to production. the infrastructure question is what's left. join @parthsareen from @ollama and @zainhas Hasan from Together AI at @AIconference for a breakout on what it actually takes to build coding agents on open models, and run them at scale.

Many concerns this weekend about slowing down AI, some targeting open models. We need to be responsible. But we can't let this slow down, or worse, prohibit open models. It's the wrong risk. Open models have tremendous power to democratize AI and make it more personal. The larger risk I see with open models is right in front of us: in the last week I've read about how many popular platforms quietly send data to foreign jurisdictions, or worse, sell or train on it to gain an advantage. And this is becoming more and more mainstream. Now more than ever open model vendors must act in the user's best interest, not their own: zero data retention or training, and hosting in the user's region vs sending data overseas. This has been our belief and commitment with @ollama. Nobody needs to slow down open models. We need to distribute and run them in a way users can trust.

DeepSeek-V4.1-Flash is now fully rolled out and available on Ollama's cloud: - Hosted in US & Europe - Zero data retention: prompts and responses are never logged or trained on - Per-token pricing matches the DeepSeek API, including off-peak pricing - Get started with Ollama's Pro, Max, and Team plans, or pay as you go with a free account with no service fees This new model by DeepSeek is more capable, faster, and more cost effective than all prior DeepSeek models including DeepSeek-V4-Pro 🚀.

Open models are closing the intelligence gap, says @ollama's @jmorgan. That opens up a new opportunity for founders: coordinating fast, cheap models to solve more complex problems. “We’re maybe less than three months behind between the frontier closed models and the open models. But the next problem to solve is extreme efficiency.” “They’re good enough for 80% of the tasks, they’re really fast and they’re ultra cheap.” “That class of models, in my mind, will be the first ones that come down to this idea of the unlimited tokens.” “Being able to coordinate these flash models together to do different tasks can also yield great results that a bigger model can.”

🦙 @ollama is used by 9 million developers and 85% of the Fortune 500, giving co-founder and CEO Jeffrey Morgan (@jmorgan) a unique view into which AI models people are actually using and how that’s changing. Right now, the biggest shift he sees is toward open models, driven by coding agents, falling costs, and capabilities that are rapidly catching up to the frontier labs. On Ollama Cloud, that shift has driven a 150x increase in token usage since the start of the year. In this episode of @LightconePod, Jeff joins @garrytan, @snowmaker, @sdianahu, and @harjtaggar to talk about the future of open models and the story behind Ollama, from two years of searching for the right idea to building one of the most widely used AI developer tools in the world. 00:43 — The Shift to Open Models 03:03 — How AI Agents Are Driving Token Usage 05:31 — Are Open Models Catching Up? 08:26 — What Happens When a New Model Launches 11:31 — Ollama as an Operating System for AI 14:05 — The New Opportunities Above the Model Layer 18:19 — Why 80–90% of Enterprise Tokens Could Be Open 20:57 — The Future Is Local and Cloud 26:40 — Why AI Is Coming Back to Your Computer 28:56 — The Coming Era of Unlimited Tokens 32:30 — Do We Still Need a “God Model”? 33:41 — Open Models and Geopolitics 36:14 — The Origins of Ollama 40:36 — Two Years Lost in the Wilderness 42:39 — The Pivot That Changed Everything 47:02 — How Ollama Found a Business Model 49:43 — Why Second-Time Founders Did YC

Stop typing @Ollama commands the old way. Ollama’s new interactive menu makes it easier to discover and launch models, agents, and coding tools—without memorizing exact tags or digging through shell history. See how it changes your local AI workflow: