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  • 16 hours ago
Nvidia is joining forces with six leading financial institutions, such as Apollo Global Management, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR, to secure over $500 billion in funding aimed at developing artificial intelligence infrastructure. The semiconductor manufacturer has entered into initial agreements, enabling its clients—from large-scale cloud providers to cutting-edge AI laboratories—to leverage borrowing against data centers and Nvidia technology, similar to how investors finance toll roads or real estate projects. CEO Jensen Huang informed CNBC that GPUs have evolved into revenue-generating assets, characterized by their productivity, longevity, and versatility, warranting their classification as a new investable asset category. Executives view this arrangement as a crucial juncture in the AI investment landscape, while some analysts warn that the staggering amount underscores the capital-intensive nature of the AI expansion.
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This video contains stock footage and content created or enhanced using AI-assisted tools.

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00:00NVIDIA just made a move that could reshape how the entire AI boom gets funded.
00:04The chipmaker has teamed up with six Wall Street giants.
00:07Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR.
00:13To raise more than $500 billion for AI infrastructure.
00:17The idea?
00:19Let NVIDIA's customers borrow against data center.
00:22And chips the same way investors finance toll roads or real estate.
00:26CEO Jensen Huang says GPUs have become revenue-generating assets.
00:32Productive enough to be treated as a brand new investable asset class.
00:36Wall Street leaders call it a pivotal moment in the AI investment cycle.
00:40But some analysts warn the eye-watering figure also shows just how capital-hungry the AI boom has become.
00:47Half a trillion dollars, six of the biggest names in finance.
00:50And one bet, that AI chips are the next great asset class.
00:54Disclosure, this video contains stock footage and content created or enhanced using AI-assisted tools.
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