The future of AI is open source. Closed models will always have a place, but the ecosystem that wins is the one everyone can build on.
We are building the cloud for AI. Not a general-purpose cloud — one specifically optimized for training and running large models.
The cost of running AI models drops by half roughly every year. That means what is expensive today becomes accessible tomorrow. We want to accelerate that curve.
Most companies do not need to train their own model from scratch. They need fast, cheap inference on the best open models. That is the real market.
I have been working on distributed systems my entire career. AI just happens to be the most important distributed systems problem of this generation.
Open-source AI is not charity. It is strategy. The companies that contribute to open models get to shape the standards everyone else builds on.