Nvidia is doubling down on its open-source efforts, pouring investment into an ambitious new in-house AI model that it hopes will drive demand for its hardware—but that could also compete with customers and partners.

Nvidia is aiming for the new model, the biggest of a family that it is calling Nemotron 4, to be on par in its performance with the best open-source AI models in the world, according to several people who work on Nemotron. The research paper detailing Nvidia’s last big model had 570 authors, and employees said Nemotron 4 would involve even more people. “Everyone just wants to be involved at this point,” one former employee said.

A group of private equity giants has signed a preliminary agreement with Nvidia to raise $500 billion to help finance AI infrastructure, Nvidia said on Monday. The firms are Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. The partnerships haven’t yet been finalized, per an ...

Nvidia has agreed to invest $2 billion into Lancium, the power infrastructure developer behind the OpenAI and Oracle AI campus in Texas, and has agreed to commit another $1 billion as the developer secures additional planned power, The Information reported late Friday. The deal values Lancium ...

Nvidia has agreed to invest $2 billion into Lancium, the power infrastructure developer behind the OpenAI and Oracle AI campus in Texas, and has agreed to commit another $1 billion as the developer secures additional planned power, three people familiar with the transaction said. The deal values Lancium and its portfolio of land and power connections at around $10 billion in enterprise value, which includes the investment and its debt.

The $2 billion would give Nvidia a roughly 20% stake in the Blackstone-backed power developer. Nvidia’s stake could grow to around 30% with the additional $1 billion once more of Lancium’s campuses hit certain thresholds, including grid hookups, the people said. The deal is intended to help Nvidia secure multiple gigawatts of pending power rights for its chip customers’ data projects at a time when energy for AI data centers is becoming harder to come by.