Reflection AI Signs $1 Billion Compute Deal With Nebius
The open-model startup, valued at $8 billion, is stacking up GPU access at speed as demand for AI that nobody can switch off overnight keeps growing.
Key points
- Reflection AI, a U.S. startup founded in 2024, signed a $1 billion compute deal with European AI infrastructure company Nebius in July 2026.
- Nebius, formerly the international arm of Russian tech giant Yandex, will supply Reflection with access to Nvidia's latest GPU chips.
- Reflection closed a $2.6 billion funding round from backers including Nvidia, Sequoia Capital, and Lightspeed Venture Partners.
- The deal follows a separate agreement Reflection signed weeks earlier to use SpaceX's computing resources.
- Nebius signed a five-year infrastructure deal with Meta worth up to $27 billion shortly after receiving a $2 billion investment from Nvidia.
Reflection AI wants to build AI models that anyone can download and run, without asking permission from a company first. To do that, it needs an enormous amount of raw computing power. This week it secured another large slice of it.
The startup signed a $1 billion agreement with Nebius, a European AI infrastructure company that provides access to GPUs, the specialised chips that do the heavy number-crunching AI needs to train and run its models. Nebius was originally the international arm of Yandex, the Russian technology giant, before spinning out independently. The deal was first reported by TechCrunch AI.
Reflection is two years old, founded in 2024 by two former Google DeepMind researchers. It is already valued at $8 billion. Nvidia, Sequoia Capital, and Lightspeed Venture Partners are among its backers.
This is not Reflection's first compute deal in recent weeks. The company also struck an agreement to access computing resources through SpaceX, the rocket company that runs large data centres. Stacking up multiple compute agreements has become standard practice among AI companies racing to train ever-larger models.
Why does this matter to ordinary people?
It matters because of who open-weight models, AI models whose underlying code and settings are released publicly for anyone to use or modify, are attracting right now.
Interest has spiked for a specific reason. Last month, the Trump administration pressured both Anthropic and OpenAI to restrict their most powerful new models. That raised an uncomfortable question for businesses, hospitals, schools and governments that had built services on top of those tools: what happens if access gets cut off overnight?
Open models sidestep that risk. If the code is already on your server, no government order or corporate policy change can take it away. That calculus, combined with increasingly capable open models coming out of China, has pushed open-source AI into the mainstream conversation.
For anyone evaluating AI tools right now, the practical takeaway is simple. Ask whether the AI service you depend on is closed-source, meaning the company controls access entirely, or open-weight, meaning you can host it yourself. That distinction could matter a great deal if the policy environment shifts again.
Nebius, for its part, is building itself into a serious infrastructure player. Shortly after receiving a $2 billion investment from Nvidia, it signed a five-year deal with Meta worth up to $27 billion. Last year it signed a multi-year deal with Microsoft worth up to $19.4 billion. Signing Reflection adds another name to a client list that now spans the biggest AI companies in the world.
