
Nvidia is paying $6 billion for Poolside's AI model-building software and hiring 109 employees.
The deal avoids a full acquisition to sidestep regulatory review.
Nvidia also invests $1 billion at a $12 billion pre-money valuation.
What happened
Nvidia is paying $6 billion for Poolside's 'Model Factory' software system and bringing on 109 employees who worked on the Laguna model. Nvidia is also investing $1 billion at a $12 billion pre-money valuation, while the three Poolside founders remain on board.
Why it matters
Nvidia competes with its own customers through its Nemotron line of open AI models, so acquiring internal model-building capability reduces reliance on external partners and strengthens its position in model development. The structure avoids a full acquisition, which means lighter regulatory scrutiny than a traditional buyout would face.
What to watch
Poolside plans to distribute the $6 billion to its investors by the end of next year. This follows Nvidia's similar non-acquisition deals with Groq ($20 billion) and Enfabrica ($900 million), signaling a pattern of acquiring technology and talent without formal company buyouts.
Ask the AI about this article →
Nvidia's move reflects a broader strategy of acquiring AI model-building capabilities without the formality of a traditional acquisition. By licensing Poolside's Model Factory software and hiring the 109-person team that developed the Laguna model, Nvidia gains internal expertise in model development at a lower regulatory cost than a full buyout would impose. This is not Nvidia's first such transaction: the company has struck similar non-acquisition deals with Groq ($20 billion) and Enfabrica ($900 million), establishing a pattern of using alternative deal structures to consolidate talent and technology.
The context is Nvidia's dual role as both a supplier of AI infrastructure and a competitor in model development through its Nemotron line. Acquiring Poolside's model-building system addresses a potential tension: Nvidia sells GPUs and other hardware to customers who build AI models, yet it also builds its own open models in direct competition. Bringing the Model Factory in-house strengthens Nvidia's internal model development capabilities while potentially reducing its dependence on external model-building partners.
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