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Nvidia Pays $6 Billion for Poolside Model Factory

Nvidia is licensing Poolside's model-building software and hiring 109 of its engineers for $6 billion, bypassing regulatory scrutiny while boosting its own AI development capabilities.

The Decoder2 days agoBusiness
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Nvidia has agreed to a $6 billion deal to license the 'Model Factory' software from AI startup Poolside and extend job offers to 109 of its employees. According to an investor letter first reported by Newcomer, the transaction also includes a separate $1 billion investment by Nvidia into Poolside at a $12 billion pre-money valuation. Poolside's three founders will remain with the startup, which plans to distribute the $6 billion payout to its investors by the end of next year.

The investor letter explicitly notes that the transaction is 'not an acquisition and it is not an acquihire.' Instead, this structure allows Nvidia to secure valuable technology and talent while avoiding the intense antitrust and regulatory scrutiny that typically accompanies outright acquisitions. Nvidia has previously utilized similar alternative deal structures, including a $20 billion arrangement with Groq and a $900 million deal with Enfabrica.

The 109 employees transitioning to Nvidia previously worked on Poolside's Laguna model. By licensing the Model Factory, the core system Poolside used to construct its AI, Nvidia gains a powerful toolset to accelerate its own AI development. Nvidia already develops its own open-source AI models under the Nemotron family, a strategy that increasingly positions the chipmaker as a direct competitor to some of its own hardware customers.

For AI practitioners and developers, this deal signals Nvidia's determination to move further up the software stack. Rather than just providing the underlying GPU hardware, Nvidia is actively consolidating the tools and engineering talent required to build state-of-the-art models. Practitioners can expect Nvidia to integrate these newly acquired model-building capabilities directly into its enterprise software ecosystem, potentially streamlining the training pipeline for custom enterprise models but also tightening Nvidia's grip on the entire AI development lifecycle.

This is our own summary of reporting by The Decoder

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